numeric-prelude 0.2.2.1 → 0.3
raw patch · 222 files changed
+1023/−19428 lines, 222 filesdep +deepseq
Dependencies added: deepseq
Files
- Makefile +6/−9
- docs/NOTES +98/−1
- numeric-prelude.cabal +36/−248
- src-ghc-6.12/Algebra/Absolute.hs +0/−151
- src-ghc-6.12/Algebra/Additive.hs +0/−364
- src-ghc-6.12/Algebra/AffineSpace.hs +0/−247
- src-ghc-6.12/Algebra/Algebraic.hs +0/−65
- src-ghc-6.12/Algebra/Differential.hs +0/−19
- src-ghc-6.12/Algebra/DimensionTerm.hs +0/−225
- src-ghc-6.12/Algebra/DivisibleSpace.hs +0/−21
- src-ghc-6.12/Algebra/EqualityDecision.hs +0/−110
- src-ghc-6.12/Algebra/Field.hs +0/−161
- src-ghc-6.12/Algebra/GenerateRules.hs +0/−86
- src-ghc-6.12/Algebra/Indexable.hs +0/−76
- src-ghc-6.12/Algebra/IntegralDomain.hs +0/−339
- src-ghc-6.12/Algebra/Lattice.hs +0/−69
- src-ghc-6.12/Algebra/Laws.hs +0/−57
- src-ghc-6.12/Algebra/Module.hs +0/−153
- src-ghc-6.12/Algebra/ModuleBasis.hs +0/−95
- src-ghc-6.12/Algebra/Monoid.hs +0/−72
- src-ghc-6.12/Algebra/NonNegative.hs +0/−130
- src-ghc-6.12/Algebra/NormedSpace/Euclidean.hs +0/−126
- src-ghc-6.12/Algebra/NormedSpace/Maximum.hs +0/−85
- src-ghc-6.12/Algebra/NormedSpace/Sum.hs +0/−90
- src-ghc-6.12/Algebra/OccasionallyScalar.hs +0/−83
- src-ghc-6.12/Algebra/OrderDecision.hs +0/−244
- src-ghc-6.12/Algebra/PrincipalIdealDomain.hs +0/−384
- src-ghc-6.12/Algebra/RealField.hs +0/−26
- src-ghc-6.12/Algebra/RealIntegral.hs +0/−151
- src-ghc-6.12/Algebra/RealRing.hs +0/−584
- src-ghc-6.12/Algebra/RealTranscendental.hs +0/−37
- src-ghc-6.12/Algebra/RightModule.hs +0/−17
- src-ghc-6.12/Algebra/Ring.hs +0/−257
- src-ghc-6.12/Algebra/ToInteger.hs +0/−141
- src-ghc-6.12/Algebra/ToRational.hs +0/−100
- src-ghc-6.12/Algebra/Transcendental.hs +0/−200
- src-ghc-6.12/Algebra/Units.hs +0/−153
- src-ghc-6.12/Algebra/Vector.hs +0/−101
- src-ghc-6.12/Algebra/VectorSpace.hs +0/−34
- src-ghc-6.12/Algebra/ZeroTestable.hs +0/−65
- src-ghc-6.12/MathObj/Algebra.hs +0/−74
- src-ghc-6.12/MathObj/DiscreteMap.hs +0/−93
- src-ghc-6.12/MathObj/Gaussian/Bell.hs +0/−314
- src-ghc-6.12/MathObj/Gaussian/Example.hs +0/−227
- src-ghc-6.12/MathObj/Gaussian/Polynomial.hs +0/−435
- src-ghc-6.12/MathObj/Gaussian/Variance.hs +0/−194
- src-ghc-6.12/MathObj/LaurentPolynomial.hs +0/−288
- src-ghc-6.12/MathObj/Matrix.hs +0/−278
- src-ghc-6.12/MathObj/Monoid.hs +0/−56
- src-ghc-6.12/MathObj/PartialFraction.hs +0/−399
- src-ghc-6.12/MathObj/Permutation.hs +0/−32
- src-ghc-6.12/MathObj/Permutation/CycleList.hs +0/−103
- src-ghc-6.12/MathObj/Permutation/CycleList/Check.hs +0/−125
- src-ghc-6.12/MathObj/Permutation/Table.hs +0/−113
- src-ghc-6.12/MathObj/Polynomial.hs +0/−309
- src-ghc-6.12/MathObj/Polynomial/Core.hs +0/−224
- src-ghc-6.12/MathObj/PowerSeries.hs +0/−193
- src-ghc-6.12/MathObj/PowerSeries/Core.hs +0/−279
- src-ghc-6.12/MathObj/PowerSeries/DifferentialEquation.hs +0/−81
- src-ghc-6.12/MathObj/PowerSeries/Example.hs +0/−156
- src-ghc-6.12/MathObj/PowerSeries/Mean.hs +0/−234
- src-ghc-6.12/MathObj/PowerSeries2.hs +0/−126
- src-ghc-6.12/MathObj/PowerSeries2/Core.hs +0/−89
- src-ghc-6.12/MathObj/PowerSum.hs +0/−234
- src-ghc-6.12/MathObj/RefinementMask2.hs +0/−171
- src-ghc-6.12/MathObj/RootSet.hs +0/−171
- src-ghc-6.12/Number/Complex.hs +0/−575
- src-ghc-6.12/Number/ComplexSquareRoot.hs +0/−119
- src-ghc-6.12/Number/DimensionTerm.hs +0/−216
- src-ghc-6.12/Number/DimensionTerm/SI.hs +0/−125
- src-ghc-6.12/Number/FixedPoint.hs +0/−235
- src-ghc-6.12/Number/FixedPoint/Check.hs +0/−194
- src-ghc-6.12/Number/GaloisField2p32m5.hs +0/−92
- src-ghc-6.12/Number/NonNegative.hs +0/−214
- src-ghc-6.12/Number/NonNegativeChunky.hs +0/−311
- src-ghc-6.12/Number/OccasionallyScalarExpression.hs +0/−196
- src-ghc-6.12/Number/PartiallyTranscendental.hs +0/−91
- src-ghc-6.12/Number/Peano.hs +0/−432
- src-ghc-6.12/Number/Physical.hs +0/−236
- src-ghc-6.12/Number/Physical/Read.hs +0/−99
- src-ghc-6.12/Number/Physical/Show.hs +0/−105
- src-ghc-6.12/Number/Physical/Unit.hs +0/−84
- src-ghc-6.12/Number/Physical/UnitDatabase.hs +0/−186
- src-ghc-6.12/Number/Positional.hs +0/−1465
- src-ghc-6.12/Number/Positional/Check.hs +0/−260
- src-ghc-6.12/Number/Quaternion.hs +0/−296
- src-ghc-6.12/Number/Ratio.hs +0/−249
- src-ghc-6.12/Number/ResidueClass.hs +0/−47
- src-ghc-6.12/Number/ResidueClass/Check.hs +0/−118
- src-ghc-6.12/Number/ResidueClass/Func.hs +0/−102
- src-ghc-6.12/Number/ResidueClass/Maybe.hs +0/−80
- src-ghc-6.12/Number/ResidueClass/Reader.hs +0/−96
- src-ghc-6.12/Number/Root.hs +0/−97
- src-ghc-6.12/Number/SI.hs +0/−271
- src-ghc-6.12/Number/SI/Unit.hs +0/−293
- src-ghc-6.12/NumericPrelude.hs +0/−9
- src-ghc-6.12/NumericPrelude/Base.hs +0/−12
- src-ghc-6.12/NumericPrelude/Elementwise.hs +0/−54
- src-ghc-6.12/NumericPrelude/List.hs +0/−71
- src-ghc-6.12/NumericPrelude/List/Checked.hs +0/−94
- src-ghc-6.12/NumericPrelude/List/Generic.hs +0/−84
- src-ghc-6.12/NumericPrelude/Numeric.hs +0/−44
- src/Algebra/Absolute.hs +11/−3
- src/Algebra/Additive.hs +48/−1
- src/Algebra/Algebraic.hs +1/−1
- src/Algebra/Differential.hs +1/−1
- src/Algebra/DivisibleSpace.hs +1/−1
- src/Algebra/Field.hs +1/−1
- src/Algebra/IntegralDomain.hs +2/−2
- src/Algebra/Lattice.hs +1/−1
- src/Algebra/Module.hs +1/−1
- src/Algebra/ModuleBasis.hs +1/−1
- src/Algebra/NormedSpace/Euclidean.hs +1/−1
- src/Algebra/NormedSpace/Maximum.hs +1/−1
- src/Algebra/NormedSpace/Sum.hs +1/−1
- src/Algebra/OccasionallyScalar.hs +1/−1
- src/Algebra/PrincipalIdealDomain.hs +1/−1
- src/Algebra/RealField.hs +1/−1
- src/Algebra/RealIntegral.hs +3/−2
- src/Algebra/RealRing.hs +7/−20
- src/Algebra/RealRing98.hs +39/−0
- src/Algebra/RealTranscendental.hs +1/−1
- src/Algebra/RightModule.hs +1/−1
- src/Algebra/Ring.hs +1/−1
- src/Algebra/ToInteger.hs +4/−4
- src/Algebra/ToRational.hs +3/−2
- src/Algebra/Transcendental.hs +1/−1
- src/Algebra/Units.hs +1/−1
- src/Algebra/Vector.hs +1/−1
- src/Algebra/VectorSpace.hs +1/−1
- src/Algebra/ZeroTestable.hs +1/−1
- src/MathObj/Algebra.hs +1/−1
- src/MathObj/DiscreteMap.hs +1/−1
- src/MathObj/Gaussian/Bell.hs +13/−3
- src/MathObj/Gaussian/Example.hs +11/−7
- src/MathObj/Gaussian/Polynomial.hs +67/−22
- src/MathObj/Gaussian/Variance.hs +13/−1
- src/MathObj/LaurentPolynomial.hs +2/−4
- src/MathObj/Matrix.hs +1/−1
- src/MathObj/Monoid.hs +1/−1
- src/MathObj/PartialFraction.hs +1/−1
- src/MathObj/Permutation.hs +1/−1
- src/MathObj/Permutation/CycleList.hs +1/−1
- src/MathObj/Permutation/CycleList/Check.hs +1/−1
- src/MathObj/Permutation/Table.hs +1/−1
- src/MathObj/Polynomial.hs +1/−4
- src/MathObj/Polynomial/Core.hs +1/−1
- src/MathObj/PowerSeries.hs +1/−3
- src/MathObj/PowerSeries/Core.hs +1/−1
- src/MathObj/PowerSeries/DifferentialEquation.hs +1/−1
- src/MathObj/PowerSeries/Example.hs +1/−1
- src/MathObj/PowerSeries/Mean.hs +1/−1
- src/MathObj/PowerSeries2.hs +3/−1
- src/MathObj/PowerSeries2/Core.hs +1/−1
- src/MathObj/PowerSum.hs +1/−3
- src/MathObj/RefinementMask2.hs +56/−1
- src/MathObj/RootSet.hs +34/−2
- src/MathObj/Wrapper/Haskell98.hs +163/−0
- src/MathObj/Wrapper/NumericPrelude.hs +220/−0
- src/Number/Complex.hs +7/−9
- src/Number/ComplexSquareRoot.hs +0/−2
- src/Number/DimensionTerm.hs +6/−1
- src/Number/DimensionTerm/SI.hs +1/−1
- src/Number/FixedPoint.hs +7/−1
- src/Number/FixedPoint/Check.hs +1/−1
- src/Number/GaloisField2p32m5.hs +1/−1
- src/Number/NonNegative.hs +2/−2
- src/Number/NonNegativeChunky.hs +0/−1
- src/Number/OccasionallyScalarExpression.hs +1/−2
- src/Number/PartiallyTranscendental.hs +1/−1
- src/Number/Peano.hs +3/−1
- src/Number/Physical.hs +1/−3
- src/Number/Physical/Read.hs +1/−1
- src/Number/Physical/Show.hs +1/−1
- src/Number/Physical/Unit.hs +1/−1
- src/Number/Physical/UnitDatabase.hs +1/−1
- src/Number/Positional.hs +1/−1
- src/Number/Positional/Check.hs +2/−2
- src/Number/Quaternion.hs +3/−4
- src/Number/Ratio.hs +1/−1
- src/Number/ResidueClass.hs +1/−1
- src/Number/ResidueClass/Check.hs +1/−1
- src/Number/ResidueClass/Func.hs +1/−1
- src/Number/ResidueClass/Maybe.hs +1/−1
- src/Number/ResidueClass/Reader.hs +2/−2
- src/Number/Root.hs +5/−0
- src/Number/SI.hs +1/−3
- src/Number/SI/Unit.hs +1/−1
- src/NumericPrelude/List/Checked.hs +1/−1
- src/NumericPrelude/List/Generic.hs +1/−1
- src/NumericPrelude/Numeric.hs +1/−1
- test-ghc-6.12/Gaussian.hs +0/−6
- test-ghc-6.12/Test.hs +0/−173
- test-ghc-6.12/Test/Algebra/IntegralDomain.hs +0/−41
- test-ghc-6.12/Test/Algebra/RealRing.hs +0/−40
- test-ghc-6.12/Test/MathObj/Gaussian/Bell.hs +0/−96
- test-ghc-6.12/Test/MathObj/Gaussian/Polynomial.hs +0/−158
- test-ghc-6.12/Test/MathObj/Gaussian/Variance.hs +0/−210
- test-ghc-6.12/Test/MathObj/Matrix.hs +0/−103
- test-ghc-6.12/Test/MathObj/PartialFraction.hs +0/−205
- test-ghc-6.12/Test/MathObj/Polynomial.hs +0/−56
- test-ghc-6.12/Test/MathObj/PowerSeries.hs +0/−103
- test-ghc-6.12/Test/MathObj/RefinementMask2.hs +0/−78
- test-ghc-6.12/Test/Number/ComplexSquareRoot.hs +0/−50
- test-ghc-6.12/Test/Number/GaloisField2p32m5.hs +0/−37
- test-ghc-6.12/Test/NumericPrelude/Utility.hs +0/−21
- test-ghc-6.12/Test/Run.hs +0/−34
- test/Test.hs +1/−1
- test/Test/Algebra/Additive.hs +35/−0
- test/Test/Algebra/IntegralDomain.hs +1/−1
- test/Test/Algebra/RealRing.hs +1/−1
- test/Test/MathObj/Gaussian/Bell.hs +12/−5
- test/Test/MathObj/Gaussian/Polynomial.hs +8/−1
- test/Test/MathObj/Gaussian/Variance.hs +18/−1
- test/Test/MathObj/Matrix.hs +1/−1
- test/Test/MathObj/PartialFraction.hs +1/−1
- test/Test/MathObj/Polynomial.hs +1/−1
- test/Test/MathObj/PowerSeries.hs +1/−1
- test/Test/MathObj/RefinementMask2.hs +3/−3
- test/Test/Number/ComplexSquareRoot.hs +1/−1
- test/Test/Number/GaloisField2p32m5.hs +1/−1
- test/Test/Run.hs +2/−0
Makefile view
@@ -56,6 +56,12 @@ ghci: $(HCI) -Wall -i:src:test +RTS -M256m -c30 -RTS test/Test.hs +ghci-gauss:+ $(HCI) -Wall -i:src:test +RTS -M256m -c30 -RTS test/Test/MathObj/Gaussian/Variance.hs++ghci-compile:+ $(HCI) -Wall -i:src:test +RTS -M256m -c30 -RTS -fobject-code -O -hidir=dist/build -odir=dist/build test/Test.hs+ build: -mkdir $(OBJECT_DIR) $(HC) $(GHC_OPTIONS) -hide-package numeric-prelude --make -O $(MODULES)@@ -73,12 +79,3 @@ #scp -r docs/html/* cvs.haskell.org:$(HASKELLORG_HTMLDIR)/ ssh cvs.haskell.org chmod -R o+r $(HASKELLORG_HTMLDIR) #ssh cvs.haskell.org chmod o+x `find $(HASKELLORG_HTMLDIR) -type d`--# TARBALL = dist/numeric-prelude-0.2.1--# sdist:-# cabal sdist-# gunzip --stdout $(TARBALL).tar.gz >$(TARBALL)-ext.tar-# tar rf --dereference $(TARBALL)-ext.tar src-ghc-6.12-# gzip $(TARBALL)-ext.tar-## gunzip --stdout $(TARBALL).tar.gz | tar r --dereference src-ghc-6.12 | gzip >$(TARBALL)-ext.tar.gz
docs/NOTES view
@@ -1,3 +1,91 @@+* zipWithChecked++We could make the second operand lazy,+and this way we would get a version of 'zipWith'+that can be used for some tying-the-knot applications+(as in unique-logic and BurrowsWheeler).++* Algebra.Complex++conjugate method that works both on real and complex numbers.+This is need in ScalarProduct implementations,+as in Synthesizer.Test.Fourier.++* multiply vs. mul++Make identifiers consistent.+I think Gaussian.multiply can be dropped when (*) is removed from Ring.++* better support for Show instances in NumericPrelude.Text++Appearance of all objects with prefix constructor should be consistent.++* Show for infix operators++Verify Show instances of (%) and (+:).+E.g. Show (Complex Rational)+When a number has negative sign,+the result of 'show' is sometimes no valid Haskell expression.++* infix operator (*:) for Complex.scale++This would be nice to have in Gaussian.Bell and Gaussian.Polynomial.++* explicit export lists++* AdditiveSemiGroup, AdditiveMonoid, AdditiveGroup++Matrices with dynamic dimension have no 'zero' (because of unknown dimension)+ (that is, they have a commutative AdditiveSemiGroup and MultiplicativeSemiGroup)+NonNegative has no (-)++* MultiplicativeSemiGroup, MultiplicativeMonoid, MultiplicativeGroup++Gaussian function, Root, ComplexSquareRoot have no AdditiveGroup operations++* Decision class should be thrown out again++They do not scale well.+They should be divided into 'if' and 'select' parts.++* Eq superclass for Absolute?++If we have Absolute we can always define++ a == b === isZero (a-b)++Maybe this reasoning is no longer valid,+when superclasses of Ring are finer grained.++* Ratios of polynomials++Q(pi) can be represented by Ratio (Polynomial Integer),+however the standard cancelling algorithm+using the GCD and Euclidean algorithm would not work,+because the GCD is a too strict notion here.+Thus currently Q(pi) must be represented by Ratio (Polynomial Rational),+which is redundant.+How can this be overcome?++Are there polynomials p and q over Z+such that p and q are relatively prime,+but for an integer multiple k·p and k·q they have a non-trivial common divisor?++* optimizations++http://www.haskell.org/pipermail/libraries/2010-September/014434.html++ #4101: constant folding for (**)+ #3676: realToFrac conversions+ #3744: comparisons against minBound and maxBound are not optimised away+ #3065: quot is sub-optimal+ #2269: Word type to Double or Float conversions+ #2271: floor, ceiling, round :: Double -> Int are awesomely slow+ #1434: slow conversion Double to Int++All are accessible as http://hackage.haskell.org/trac/ghc/ticket/4101, etc.+All need love.+ * sum (and mconcat) How to provide a 'sum' function that works optimal for the strict and lazy types?@@ -314,6 +402,15 @@ +* Function type class++Useful for all function representations like Polynomials, Gaussian functions.+However polynomials can only be applied to Ring types,+and Gaussian functions can only be applied to Transcendental types.+This it would require the usual type tricks+for type constructor class with restricted type arguments.++ * Complex numbers The module looks horrible because auxiliary type classes are introduced@@ -340,7 +437,7 @@ - Partial Fractions: - introduce Indexable type class for allowing partial fractions of polynomials - example decomposition (e.g. implemented in test suite)- (n-2)*(n+2)/((n-4)*n*(n+4))+ (n-2)·(n+2)/((n-4)·n·(n+4)) - Hypercomplex numbers: Octonions - matrices, vectors - conversion of complex and quaternions to real matrices
numeric-prelude.cabal view
@@ -1,5 +1,5 @@ Name: numeric-prelude-Version: 0.2.2.1+Version: 0.3 License: GPL License-File: LICENSE Author: Dylan Thurston <dpt@math.harvard.edu>, Henning Thielemann <numericprelude@henning-thielemann.de>, Mikael Johansson@@ -7,9 +7,10 @@ Homepage: http://www.haskell.org/haskellwiki/Numeric_Prelude Category: Math Stability: Experimental+Tested-With: GHC==6.4.1, GHC==6.8.2, GHC==6.10.4, GHC==6.12.3+Tested-With: GHC==7.2.2 Cabal-Version: >=1.6 Build-Type: Simple-Tested-With: GHC==6.4.1, GHC==6.8.2, GHC==6.10.4, GHC==6.12.3, GHC==7.0.2, GHC==7.2.1 Synopsis: An experimental alternative hierarchy of numeric type classes Description: Revisiting the Numeric Classes@@ -94,7 +95,11 @@ you could also write @import Prelude ()@ but this will yield problems with numeric literals. .+ There are two wrapper types that allow types+ to be used with both Haskell98 and NumericPrelude type classes+ that are initially implemented for only one of them. .+ . Scope & Limitations\/TODO: . * It might be desireable to split Ord up into Poset and Ord@@ -139,236 +144,7 @@ Makefile docs/NOTES docs/README- src/Algebra/Absolute.hs- src/Algebra/Additive.hs- src/Algebra/AffineSpace.hs- src/Algebra/Algebraic.hs- src/Algebra/Differential.hs- src/Algebra/DimensionTerm.hs- src/Algebra/DivisibleSpace.hs- src/Algebra/EqualityDecision.hs- src/Algebra/Field.hs src/Algebra/GenerateRules.hs- src/Algebra/Indexable.hs- src/Algebra/IntegralDomain.hs- src/Algebra/Lattice.hs- src/Algebra/Laws.hs- src/Algebra/Module.hs- src/Algebra/ModuleBasis.hs- src/Algebra/Monoid.hs- src/Algebra/NonNegative.hs- src/Algebra/NormedSpace/Euclidean.hs- src/Algebra/NormedSpace/Maximum.hs- src/Algebra/NormedSpace/Sum.hs- src/Algebra/OccasionallyScalar.hs- src/Algebra/OrderDecision.hs- src/Algebra/PrincipalIdealDomain.hs- src/Algebra/RealField.hs- src/Algebra/RealIntegral.hs- src/Algebra/RealRing.hs- src/Algebra/RealTranscendental.hs- src/Algebra/RightModule.hs- src/Algebra/Ring.hs- src/Algebra/ToInteger.hs- src/Algebra/ToRational.hs- src/Algebra/Transcendental.hs- src/Algebra/Units.hs- src/Algebra/Vector.hs- src/Algebra/VectorSpace.hs- src/Algebra/ZeroTestable.hs- src/MathObj/Algebra.hs- src/MathObj/DiscreteMap.hs- src/MathObj/Gaussian/Bell.hs- src/MathObj/Gaussian/Example.hs- src/MathObj/Gaussian/Polynomial.hs- src/MathObj/Gaussian/Variance.hs- src/MathObj/LaurentPolynomial.hs- src/MathObj/Matrix.hs- src/MathObj/Monoid.hs- src/MathObj/PartialFraction.hs- src/MathObj/Permutation.hs- src/MathObj/Permutation/CycleList.hs- src/MathObj/Permutation/CycleList/Check.hs- src/MathObj/Permutation/Table.hs- src/MathObj/Polynomial.hs- src/MathObj/Polynomial/Core.hs- src/MathObj/PowerSeries.hs- src/MathObj/PowerSeries/Core.hs- src/MathObj/PowerSeries/DifferentialEquation.hs- src/MathObj/PowerSeries/Example.hs- src/MathObj/PowerSeries/Mean.hs- src/MathObj/PowerSeries2.hs- src/MathObj/PowerSeries2/Core.hs- src/MathObj/PowerSum.hs- src/MathObj/RefinementMask2.hs- src/MathObj/RootSet.hs- src/Number/Complex.hs- src/Number/ComplexSquareRoot.hs- src/Number/DimensionTerm.hs- src/Number/DimensionTerm/SI.hs- src/Number/FixedPoint.hs- src/Number/FixedPoint/Check.hs- src/Number/GaloisField2p32m5.hs- src/Number/NonNegative.hs- src/Number/NonNegativeChunky.hs- src/Number/OccasionallyScalarExpression.hs- src/Number/PartiallyTranscendental.hs- src/Number/Peano.hs- src/Number/Physical.hs- src/Number/Physical/Read.hs- src/Number/Physical/Show.hs- src/Number/Physical/Unit.hs- src/Number/Physical/UnitDatabase.hs- src/Number/Positional.hs- src/Number/Positional/Check.hs- src/Number/Quaternion.hs- src/Number/Ratio.hs- src/Number/ResidueClass.hs- src/Number/ResidueClass/Check.hs- src/Number/ResidueClass/Func.hs- src/Number/ResidueClass/Maybe.hs- src/Number/ResidueClass/Reader.hs- src/Number/Root.hs- src/Number/SI.hs- src/Number/SI/Unit.hs- src/NumericPrelude.hs- src/NumericPrelude/Base.hs- src/NumericPrelude/Elementwise.hs- src/NumericPrelude/List.hs- src/NumericPrelude/List/Checked.hs- src/NumericPrelude/List/Generic.hs- src/NumericPrelude/Numeric.hs- test/Gaussian.hs- test/Test.hs- test/Test/Algebra/IntegralDomain.hs- test/Test/Algebra/RealRing.hs- test/Test/MathObj/Gaussian/Bell.hs- test/Test/MathObj/Gaussian/Polynomial.hs- test/Test/MathObj/Gaussian/Variance.hs- test/Test/MathObj/Matrix.hs- test/Test/MathObj/PartialFraction.hs- test/Test/MathObj/Polynomial.hs- test/Test/MathObj/PowerSeries.hs- test/Test/MathObj/RefinementMask2.hs- test/Test/Number/ComplexSquareRoot.hs- test/Test/Number/GaloisField2p32m5.hs- test/Test/NumericPrelude/Utility.hs- test/Test/Run.hs- src-ghc-6.12/Algebra/Absolute.hs- src-ghc-6.12/Algebra/Additive.hs- src-ghc-6.12/Algebra/AffineSpace.hs- src-ghc-6.12/Algebra/Algebraic.hs- src-ghc-6.12/Algebra/Differential.hs- src-ghc-6.12/Algebra/DimensionTerm.hs- src-ghc-6.12/Algebra/DivisibleSpace.hs- src-ghc-6.12/Algebra/EqualityDecision.hs- src-ghc-6.12/Algebra/Field.hs- src-ghc-6.12/Algebra/GenerateRules.hs- src-ghc-6.12/Algebra/Indexable.hs- src-ghc-6.12/Algebra/IntegralDomain.hs- src-ghc-6.12/Algebra/Lattice.hs- src-ghc-6.12/Algebra/Laws.hs- src-ghc-6.12/Algebra/Module.hs- src-ghc-6.12/Algebra/ModuleBasis.hs- src-ghc-6.12/Algebra/Monoid.hs- src-ghc-6.12/Algebra/NonNegative.hs- src-ghc-6.12/Algebra/NormedSpace/Euclidean.hs- src-ghc-6.12/Algebra/NormedSpace/Maximum.hs- src-ghc-6.12/Algebra/NormedSpace/Sum.hs- src-ghc-6.12/Algebra/OccasionallyScalar.hs- src-ghc-6.12/Algebra/OrderDecision.hs- src-ghc-6.12/Algebra/PrincipalIdealDomain.hs- src-ghc-6.12/Algebra/RealField.hs- src-ghc-6.12/Algebra/RealIntegral.hs- src-ghc-6.12/Algebra/RealRing.hs- src-ghc-6.12/Algebra/RealTranscendental.hs- src-ghc-6.12/Algebra/RightModule.hs- src-ghc-6.12/Algebra/Ring.hs- src-ghc-6.12/Algebra/ToInteger.hs- src-ghc-6.12/Algebra/ToRational.hs- src-ghc-6.12/Algebra/Transcendental.hs- src-ghc-6.12/Algebra/Units.hs- src-ghc-6.12/Algebra/Vector.hs- src-ghc-6.12/Algebra/VectorSpace.hs- src-ghc-6.12/Algebra/ZeroTestable.hs- src-ghc-6.12/MathObj/Algebra.hs- src-ghc-6.12/MathObj/DiscreteMap.hs- src-ghc-6.12/MathObj/Gaussian/Bell.hs- src-ghc-6.12/MathObj/Gaussian/Example.hs- src-ghc-6.12/MathObj/Gaussian/Polynomial.hs- src-ghc-6.12/MathObj/Gaussian/Variance.hs- src-ghc-6.12/MathObj/LaurentPolynomial.hs- src-ghc-6.12/MathObj/Matrix.hs- src-ghc-6.12/MathObj/Monoid.hs- src-ghc-6.12/MathObj/PartialFraction.hs- src-ghc-6.12/MathObj/Permutation.hs- src-ghc-6.12/MathObj/Permutation/CycleList.hs- src-ghc-6.12/MathObj/Permutation/CycleList/Check.hs- src-ghc-6.12/MathObj/Permutation/Table.hs- src-ghc-6.12/MathObj/Polynomial.hs- src-ghc-6.12/MathObj/Polynomial/Core.hs- src-ghc-6.12/MathObj/PowerSeries.hs- src-ghc-6.12/MathObj/PowerSeries/Core.hs- src-ghc-6.12/MathObj/PowerSeries/DifferentialEquation.hs- src-ghc-6.12/MathObj/PowerSeries/Example.hs- src-ghc-6.12/MathObj/PowerSeries/Mean.hs- src-ghc-6.12/MathObj/PowerSeries2.hs- src-ghc-6.12/MathObj/PowerSeries2/Core.hs- src-ghc-6.12/MathObj/PowerSum.hs- src-ghc-6.12/MathObj/RefinementMask2.hs- src-ghc-6.12/MathObj/RootSet.hs- src-ghc-6.12/Number/Complex.hs- src-ghc-6.12/Number/ComplexSquareRoot.hs- src-ghc-6.12/Number/DimensionTerm.hs- src-ghc-6.12/Number/DimensionTerm/SI.hs- src-ghc-6.12/Number/FixedPoint.hs- src-ghc-6.12/Number/FixedPoint/Check.hs- src-ghc-6.12/Number/GaloisField2p32m5.hs- src-ghc-6.12/Number/NonNegative.hs- src-ghc-6.12/Number/NonNegativeChunky.hs- src-ghc-6.12/Number/OccasionallyScalarExpression.hs- src-ghc-6.12/Number/PartiallyTranscendental.hs- src-ghc-6.12/Number/Peano.hs- src-ghc-6.12/Number/Physical.hs- src-ghc-6.12/Number/Physical/Read.hs- src-ghc-6.12/Number/Physical/Show.hs- src-ghc-6.12/Number/Physical/Unit.hs- src-ghc-6.12/Number/Physical/UnitDatabase.hs- src-ghc-6.12/Number/Positional.hs- src-ghc-6.12/Number/Positional/Check.hs- src-ghc-6.12/Number/Quaternion.hs- src-ghc-6.12/Number/Ratio.hs- src-ghc-6.12/Number/ResidueClass.hs- src-ghc-6.12/Number/ResidueClass/Check.hs- src-ghc-6.12/Number/ResidueClass/Func.hs- src-ghc-6.12/Number/ResidueClass/Maybe.hs- src-ghc-6.12/Number/ResidueClass/Reader.hs- src-ghc-6.12/Number/Root.hs- src-ghc-6.12/Number/SI.hs- src-ghc-6.12/Number/SI/Unit.hs- src-ghc-6.12/NumericPrelude.hs- src-ghc-6.12/NumericPrelude/Base.hs- src-ghc-6.12/NumericPrelude/Elementwise.hs- src-ghc-6.12/NumericPrelude/List.hs- src-ghc-6.12/NumericPrelude/List/Checked.hs- src-ghc-6.12/NumericPrelude/List/Generic.hs- src-ghc-6.12/NumericPrelude/Numeric.hs- test-ghc-6.12/Gaussian.hs- test-ghc-6.12/Test.hs- test-ghc-6.12/Test/Algebra/IntegralDomain.hs- test-ghc-6.12/Test/Algebra/RealRing.hs- test-ghc-6.12/Test/MathObj/Gaussian/Bell.hs- test-ghc-6.12/Test/MathObj/Gaussian/Polynomial.hs- test-ghc-6.12/Test/MathObj/Gaussian/Variance.hs- test-ghc-6.12/Test/MathObj/Matrix.hs- test-ghc-6.12/Test/MathObj/PartialFraction.hs- test-ghc-6.12/Test/MathObj/Polynomial.hs- test-ghc-6.12/Test/MathObj/PowerSeries.hs- test-ghc-6.12/Test/MathObj/RefinementMask2.hs- test-ghc-6.12/Test/Number/ComplexSquareRoot.hs- test-ghc-6.12/Test/Number/GaloisField2p32m5.hs- test-ghc-6.12/Test/NumericPrelude/Utility.hs- test-ghc-6.12/Test/Run.hs Flag splitBase description: Choose the new smaller, split-up base package.@@ -392,7 +168,8 @@ QuickCheck >=1 && <3, storable-record >=0.0.1 && <0.1, non-negative >=0.0.5 && <0.2,- utility-ht >=0.0.6 && <0.1+ utility-ht >=0.0.6 && <0.1,+ deepseq >=1.1 && <1.3 If flag(splitBase) Build-Depends: base >= 2 && <6,@@ -402,11 +179,12 @@ Else Build-Depends: base >= 1.0 && < 2 - GHC-Options: -Wall If impl(ghc>=7.0)- Hs-source-dirs: src- Else- Hs-source-dirs: src-ghc-6.12+ CPP-Options: -DNoImplicitPrelude=RebindableSyntax+ Extensions: CPP++ GHC-Options: -Wall+ Hs-source-dirs: src Exposed-modules: Algebra.Absolute Algebra.Additive@@ -463,6 +241,8 @@ MathObj.PowerSum MathObj.RefinementMask2 MathObj.RootSet+ MathObj.Wrapper.Haskell98+ MathObj.Wrapper.NumericPrelude Number.Complex Number.DimensionTerm Number.DimensionTerm.SI@@ -500,6 +280,7 @@ Other-modules: NumericPrelude.List Algebra.AffineSpace+ Algebra.RealRing98 MathObj.Gaussian.Variance MathObj.Gaussian.Bell MathObj.Gaussian.Polynomial@@ -510,19 +291,19 @@ Algebra.OrderDecision Executable test- If impl(ghc>=7.0)- Hs-source-dirs: src, test- Else- Hs-source-dirs: src-ghc-6.12, test-ghc-6.12+ Hs-Source-Dirs: src, test+ GHC-Options: -Wall Main-Is: Test.hs+ If !flag(buildTests) Buildable: False -Executable testsuite If impl(ghc>=7.0)- Hs-source-dirs: src, test- Else- Hs-source-dirs: src-ghc-6.12, test-ghc-6.12+ CPP-Options: -DNoImplicitPrelude=RebindableSyntax+ Extensions: CPP++Executable testsuite+ Hs-Source-Dirs: src, test GHC-Options: -Wall Other-modules: Test.NumericPrelude.Utility@@ -530,6 +311,7 @@ Test.Number.ComplexSquareRoot Test.Algebra.IntegralDomain Test.Algebra.RealRing+ Test.Algebra.Additive Test.MathObj.RefinementMask2 Test.MathObj.PartialFraction Test.MathObj.Matrix@@ -539,16 +321,18 @@ Test.MathObj.Gaussian.Bell Test.MathObj.Gaussian.Polynomial Main-Is: Test/Run.hs+ If flag(buildTests) Build-Depends: HUnit >=1 && <2 Else Buildable: False -Executable test-gaussian If impl(ghc>=7.0)- Hs-source-dirs: src, test- Else- Hs-source-dirs: src-ghc-6.12, test-ghc-6.12+ CPP-Options: -DNoImplicitPrelude=RebindableSyntax+ Extensions: CPP++Executable test-gaussian+ Hs-Source-Dirs: src, test Main-Is: Gaussian.hs Other-Modules: MathObj.Gaussian.Example@@ -558,3 +342,7 @@ HTam >=0.0.2 && <0.1 Else Buildable: False++ If impl(ghc>=7.0)+ CPP-Options: -DNoImplicitPrelude=RebindableSyntax+ Extensions: CPP
− src-ghc-6.12/Algebra/Absolute.hs
@@ -1,151 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Absolute (- C(abs, signum),- absOrd, signumOrd,- ) where--import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Ring (one, ) -- fromInteger-import Algebra.Additive (zero, negate,)--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import NumericPrelude.Base-import qualified Prelude as P-import Prelude (Integer, Float, Double, )---{- |-This is the type class of a ring with a notion of an absolute value,-satisfying the laws--> a * b === b * a-> a /= 0 => abs (signum a) === 1-> abs a * signum a === a--Minimal definition: 'abs', 'signum'.--If the type is in the 'Ord' class-we expect 'abs' = 'absOrd' and 'signum' = 'signumOrd'-and we expect the following laws to hold:--> a + (max b c) === max (a+b) (a+c)-> negate (max b c) === min (negate b) (negate c)-> a * (max b c) === max (a*b) (a*c) where a >= 0-> absOrd a === max a (-a)--We do not require 'Ord' as superclass-since we also want to have "Number.Complex" as instance.-'abs' for complex numbers alone may have an inappropriate type,-because it does not reflect that the absolute value is a real number.-You might prefer 'Number.Complex.magnitude'.-This type class is intended for unifying algorithms-that work for both real and complex numbers.-Note the similarity to "Algebra.Units":-'abs' plays the role of @stdAssociate@-and 'signum' plays the role of @stdUnit@.--Actually, since 'abs' can be defined using 'max' and 'negate'-we could relax the superclasses to @Additive@ and 'Ord'-if his class would only contain 'signum'.--}-class (Ring.C a, ZeroTestable.C a) => C a where- abs :: a -> a- signum :: a -> a---absOrd :: (Additive.C a, Ord a) => a -> a-absOrd x = max x (negate x)--signumOrd :: (Ring.C a, Ord a) => a -> a-signumOrd x =- case compare x zero of- GT -> one- EQ -> zero- LT -> negate one---instance C Integer where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Float where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Double where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum---instance C Int where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Int8 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Int16 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Int32 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Int64 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum---instance C Word where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Word8 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Word16 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Word32 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum--instance C Word64 where- {-# INLINE abs #-}- {-# INLINE signum #-}- abs = P.abs- signum = P.signum-
− src-ghc-6.12/Algebra/Additive.hs
@@ -1,364 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Additive (- -- * Class- C,- zero,- (+), (-),- negate, subtract,-- -- * Complex functions- sum, sum1,-- -- * Instance definition helpers- elementAdd, elementSub, elementNeg,- (<*>.+), (<*>.-), (<*>.-$),-- -- * Instances for atomic types- propAssociative,- propCommutative,- propIdentity,- propInverse,- ) where--import qualified Algebra.Laws as Laws--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import qualified NumericPrelude.Elementwise as Elem-import Control.Applicative (Applicative(pure, (<*>)), )-import Data.Tuple.HT (fst3, snd3, thd3, )--import qualified Data.Ratio as Ratio98-import qualified Prelude as P-import Prelude (Integer, Float, Double, fromInteger, )-import NumericPrelude.Base---infixl 6 +, ---{- |-Additive a encapsulates the notion of a commutative group, specified-by the following laws:--@- a + b === b + a- (a + b) + c === a + (b + c)- zero + a === a- a + negate a === 0-@--Typical examples include integers, dollars, and vectors.--Minimal definition: '+', 'zero', and ('negate' or '(-)')--}--class C a where- -- | zero element of the vector space- zero :: a- -- | add and subtract elements- (+), (-) :: a -> a -> a- -- | inverse with respect to '+'- negate :: a -> a-- {-# INLINE negate #-}- negate a = zero - a- {-# INLINE (-) #-}- a - b = a + negate b--{- |-'subtract' is @(-)@ with swapped operand order.-This is the operand order which will be needed in most cases-of partial application.--}-subtract :: C a => a -> a -> a-subtract = flip (-)-----{- |-Sum up all elements of a list.-An empty list yields zero.--This function is inappropriate for number types like Peano.-Maybe we should make 'sum' a method of Additive.-This would also make 'lengthLeft' and 'lengthRight' superfluous.--}-sum :: (C a) => [a] -> a-sum = foldl (+) zero--{- |-Sum up all elements of a non-empty list.-This avoids including a zero which is useful for types-where no universal zero is available.--}-sum1 :: (C a) => [a] -> a-sum1 = foldl1 (+)----{- |-Instead of baking the add operation into the element function,-we could use higher rank types-and pass a generic @uncurry (+)@ to the run function.-We do not do so in order to stay Haskell 98-at least for parts of NumericPrelude.--}-{-# INLINE elementAdd #-}-elementAdd ::- (C x) =>- (v -> x) -> Elem.T (v,v) x-elementAdd f =- Elem.element (\(x,y) -> f x + f y)--{-# INLINE elementSub #-}-elementSub ::- (C x) =>- (v -> x) -> Elem.T (v,v) x-elementSub f =- Elem.element (\(x,y) -> f x - f y)--{-# INLINE elementNeg #-}-elementNeg ::- (C x) =>- (v -> x) -> Elem.T v x-elementNeg f =- Elem.element (negate . f)----- like <*>-infixl 4 <*>.+, <*>.-, <*>.-$--{- |-> addPair :: (Additive.C a, Additive.C b) => (a,b) -> (a,b) -> (a,b)-> addPair = Elem.run2 $ Elem.with (,) <*>.+ fst <*>.+ snd--}-{-# INLINE (<*>.+) #-}-(<*>.+) ::- (C x) =>- Elem.T (v,v) (x -> a) -> (v -> x) -> Elem.T (v,v) a-(<*>.+) f acc =- f <*> elementAdd acc--{-# INLINE (<*>.-) #-}-(<*>.-) ::- (C x) =>- Elem.T (v,v) (x -> a) -> (v -> x) -> Elem.T (v,v) a-(<*>.-) f acc =- f <*> elementSub acc--{-# INLINE (<*>.-$) #-}-(<*>.-$) ::- (C x) =>- Elem.T v (x -> a) -> (v -> x) -> Elem.T v a-(<*>.-$) f acc =- f <*> elementNeg acc----- * Instances for atomic types--instance C Integer where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Float where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Double where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)---instance C Int where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Int8 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Int16 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Int32 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Int64 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)---instance C Word where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Word8 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Word16 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Word32 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)--instance C Word64 where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = P.fromInteger 0- negate = P.negate- (+) = (P.+)- (-) = (P.-)------- * Instances for composed types--instance (C v0, C v1) => C (v0, v1) where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = (,) zero zero- (+) = Elem.run2 $ pure (,) <*>.+ fst <*>.+ snd- (-) = Elem.run2 $ pure (,) <*>.- fst <*>.- snd- negate = Elem.run $ pure (,) <*>.-$ fst <*>.-$ snd--instance (C v0, C v1, C v2) => C (v0, v1, v2) where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = (,,) zero zero zero- (+) = Elem.run2 $ pure (,,) <*>.+ fst3 <*>.+ snd3 <*>.+ thd3- (-) = Elem.run2 $ pure (,,) <*>.- fst3 <*>.- snd3 <*>.- thd3- negate = Elem.run $ pure (,,) <*>.-$ fst3 <*>.-$ snd3 <*>.-$ thd3---instance (C v) => C [v] where- zero = []- negate = map negate- (+) (x:xs) (y:ys) = (+) x y : (+) xs ys- (+) xs [] = xs- (+) [] ys = ys- (-) (x:xs) (y:ys) = (-) x y : (-) xs ys- (-) xs [] = xs- (-) [] ys = negate ys---instance (C v) => C (b -> v) where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero _ = zero- (+) f g x = (+) (f x) (g x)- (-) f g x = (-) (f x) (g x)- negate f x = negate (f x)---- * Properties--propAssociative :: (Eq a, C a) => a -> a -> a -> Bool-propCommutative :: (Eq a, C a) => a -> a -> Bool-propIdentity :: (Eq a, C a) => a -> Bool-propInverse :: (Eq a, C a) => a -> Bool--propCommutative = Laws.commutative (+)-propAssociative = Laws.associative (+)-propIdentity = Laws.identity (+) zero-propInverse = Laws.inverse (+) negate zero------ legacy--instance (P.Integral a) => C (Ratio98.Ratio a) where- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = 0- (+) = (P.+)- (-) = (P.-)- negate = P.negate
− src-ghc-6.12/Algebra/AffineSpace.hs
@@ -1,247 +0,0 @@-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-This module is not yet exported-since its interface is not mature.-There are two approaches for representing affine spaces:--[1] Two sets: A set of points and a set of vectors.- Examples: Absolute potential and voltage,- absolute temperature and temperature difference.- Operations are- add :: vector -> point -> point- sub :: point -> point -> vector--[2] One set for points, no vectors.- Examples: Interpolation- Operation:- combine :: [(coefficient, vector)] -> vector- Where it must be asserted,- that the coefficients sum up to 1.--The second one is the one we follow here.-It is more similar to Module and VectorSpace.--}-module Algebra.AffineSpace where--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Additive as Additive-import qualified Algebra.Module as Module-import qualified Number.Ratio as Ratio--import qualified Number.Complex as Complex--import Control.Applicative (Applicative(pure, (<*>)), )--import NumericPrelude.Numeric hiding (zero, )-import NumericPrelude.Base-import Prelude ()--{- |-The type class is for representing affine spaces via affine combinations.-However, we didn't find a way to both ensure the property-that the combination coefficients sum up to 1,-and keep it efficient.--We propose this class instead of a combination of Additive and Module-for interpolation for those types,-where scaling and addition alone makes no sense.-Such types are e.g. internal filter parameters in signal processing:-For these types interpolation makes definitely sense,-but addition and scaling make not.--That is, both classes are isomorphic-(you can define one in terms of the other),-but instances of this class are more easily defined,-and using an AffineSpace constraint instead of Module in a type signature-is important for documentation purposes.-AffineSpace should be superclass of Module.-(But then you may ask, why not adding another superclass for Convex spaces.-This class would provide a linear combination operation,-where the coefficients sum up to one-and all of them are non-negative.)--We may add a safety layer that ensures-that the coefficients sum up to 1,-using start points on the simplex-and functions to move on the simplex.-Start points have components that sum up to 1, e.g.--> (1, 0, 0, 0)-> (0, 1, 0, 0)-> (0, 0, 1, 0)-> (0, 0, 0, 1)-> (1/4, 1/4, 1/4, 1/4)--Then you may move along the simplex in the directions--> (1, -1, 0, 0)-> (0, 1, 0, -1)-> (-1, -1, 3, -1)--which are characterized by components that sum up to 0.--For example linear combination is defined by--> lerp k (a,b) = (1-k)*>a + k*>b--that is the coefficients are (1-k) and k.-The pair (1-k, k) can be constructed-by starting at pair (1,0)-and moving k units in direction (-1,1).--> (1-k, k) = (1,0) + k*(-1,1)--It is however a challenge to manage the coefficient tuples-in a type safe and efficient way.-For small numbers of interpolation nodes-(constant, linear, cubic interpolation)-a type level list would appropriate,-but what to do for large tuples-like for Whittaker interpolation?---As side note:-In principle it would be sufficient-to provide an affine combination of two points,-since all affine combinations of more points-can be decomposed into such simple combinations.--> lerp a x y = (1-a)*>x + a*>y--E.g. @a*>x + b*>y + c*>z@ with @a+b+c=1@-can be written as @lerp c (lerp (b/(1-c)) x y) z@.-More generally you can use--> lerpnorm a b x y-> = lerp (b/(a+b)) x y-> = (a/(a+b))*>x + (b/(a+b))*>y--for writing--> a*>x + b*>y + c*>z ==-> lerpnorm (a+b) c (lerpnorm a b x y) z--or--> a*>x + b*>y + c*>z + d*>w ==-> lerpnorm (a+b+c) d (lerpnorm (a+b) c (lerpnorm a b x y) z) w--with @a+b+c+d=1@.--The downside is, that lerpnorm requires division, that is, a field,-whereas the computation of the coefficients-sometimes only requires ring operations.--}-class Zero v => C a v where- multiplyAccumulate :: (a,v) -> v -> v--class Zero v where- zero :: v---instance Zero Float where- {-# INLINE zero #-}- zero = Additive.zero--instance Zero Double where- {-# INLINE zero #-}- zero = Additive.zero--instance (Zero a) => Zero (Complex.T a) where- {-# INLINE zero #-}- zero = zero Complex.+: zero--instance (PID.C a) => Zero (Ratio.T a) where- {-# INLINE zero #-}- zero = Additive.zero---instance C Float Float where- {-# INLINE multiplyAccumulate #-}- multiplyAccumulate (a,x) y = a*x+y--instance C Double Double where- {-# INLINE multiplyAccumulate #-}- multiplyAccumulate (a,x) y = a*x+y--instance (C a v) => C a (Complex.T v) where- {-# INLINE multiplyAccumulate #-}- multiplyAccumulate =- makeMac2 (Complex.+:) Complex.real Complex.imag--instance (PID.C a) => C (Ratio.T a) (Ratio.T a) where- {-# INLINE multiplyAccumulate #-}- multiplyAccumulate (a,x) y = a*x+y---infixl 6 *.+--{- |-Infix variant of 'multiplyAccumulate'.--}-{-# INLINE (*.+) #-}-(*.+) :: C a v => v -> (a,v) -> v-(*.+) = flip multiplyAccumulate----- * convenience functions for defining multiplyAccumulate--{-# INLINE multiplyAccumulateModule #-}-multiplyAccumulateModule ::- Module.C a v =>- (a,v) -> v -> v-multiplyAccumulateModule (a,x) y =- a *> x + y---{- |-A special reader monad.--}-newtype MAC a v x = MAC {runMac :: (a,v) -> v -> x}--{-# INLINE element #-}-element ::- (C a x) =>- (v -> x) -> MAC a v x-element f =- MAC (\(a,x) y -> multiplyAccumulate (a, f x) (f y))--instance Functor (MAC a v) where- {-# INLINE fmap #-}- fmap f (MAC x) =- MAC $ \av v -> f $ x av v--instance Applicative (MAC a v) where- {-# INLINE pure #-}- {-# INLINE (<*>) #-}- pure x = MAC $ \ _av _v -> x- MAC f <*> MAC x =- MAC $ \av v -> f av v $ x av v--{-# INLINE makeMac #-}-makeMac ::- (C a x) =>- (x -> v) ->- (v -> x) ->- (a,v) -> v -> v-makeMac cons x =- runMac $ pure cons <*> element x--{-# INLINE makeMac2 #-}-makeMac2 ::- (C a x, C a y) =>- (x -> y -> v) ->- (v -> x) -> (v -> y) ->- (a,v) -> v -> v-makeMac2 cons x y =- runMac $ pure cons <*> element x <*> element y--{-# INLINE makeMac3 #-}-makeMac3 ::- (C a x, C a y, C a z) =>- (x -> y -> z -> v) ->- (v -> x) -> (v -> y) -> (v -> z) ->- (a,v) -> v -> v-makeMac3 cons x y z =- runMac $ pure cons <*> element x <*> element y <*> element z
− src-ghc-6.12/Algebra/Algebraic.hs
@@ -1,65 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Algebraic where--import qualified Algebra.Field as Field--- import qualified Algebra.Units as Units-import qualified Algebra.Laws as Laws-import qualified Algebra.ToRational as ToRational-import qualified Algebra.ToInteger as ToInteger--import Number.Ratio (Rational, (%), numerator, denominator)-import Algebra.Field ((^-), recip, fromRational')-import Algebra.Ring ((*), (^), fromInteger)-import Algebra.Additive((+))--import NumericPrelude.Base-import qualified Prelude as P---infixr 8 ^/--{- | Minimal implementation: 'root' or '(^\/)'. -}--class (Field.C a) => C a where- sqrt :: a -> a- sqrt = root 2- -- sqrt x = x ** (1/2)-- root :: P.Integer -> a -> a- root n x = x ^/ (1 % n)-- (^/) :: a -> Rational -> a- x ^/ y = root (denominator y) (x ^- numerator y)--genericRoot :: (C a, ToInteger.C b) => b -> a -> a-genericRoot n = root (ToInteger.toInteger n)--power :: (C a, ToRational.C b) => b -> a -> a-power r = (^/ ToRational.toRational r)--instance C P.Float where- sqrt = P.sqrt- root n x = x P.** recip (P.fromInteger n)- x ^/ y = x P.** fromRational' y--instance C P.Double where- sqrt = P.sqrt- root n x = x P.** recip (P.fromInteger n)- x ^/ y = x P.** fromRational' y---{- * Properties -}---- propSqrtSqr :: (Eq a, C a, Units.C a) => a -> Bool--- propSqrtSqr x = sqrt (x^2) == Units.stdAssociate x--propSqrSqrt :: (Eq a, C a) => a -> Bool-propSqrSqrt x = sqrt x ^ 2 == x--propPowerCascade :: (Eq a, C a) => a -> Rational -> Rational -> Bool-propPowerProduct :: (Eq a, C a) => a -> Rational -> Rational -> Bool-propPowerDistributive :: (Eq a, C a) => Rational -> a -> a -> Bool--propPowerCascade x i j = Laws.rightCascade (*) (^/) x i j-propPowerProduct x i j = Laws.homomorphism (x^/) (+) (*) i j-propPowerDistributive i x y = Laws.leftDistributive (^/) (*) i x y
− src-ghc-6.12/Algebra/Differential.hs
@@ -1,19 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Differential where--import qualified Algebra.Ring as Ring---- import NumericPrelude.Numeric--- import qualified Prelude--{- |-'differentiate' is a general differentation operation-It must fulfill the Leibnitz condition--> differentiate (x * y) == differentiate x * y + x * differentiate y--Unfortunately, this scheme cannot be easily extended to more than two variables,-e.g. "MathObj.PowerSeries2".--}-class Ring.C a => C a where- differentiate :: a -> a
− src-ghc-6.12/Algebra/DimensionTerm.hs
@@ -1,225 +0,0 @@-{- |-Copyright : (c) Henning Thielemann 2008-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable---We already have the dynamically checked physical units-provided by "Number.Physical"-and the statically checked ones of the @dimensional@ package of Buckwalter,-which require multi-parameter type classes with functional dependencies.--Here we provide a poor man's approach:-The units are presented by type terms.-There is no canonical form and thus the type checker-can not automatically check for equal units.-However, if two unit terms represent the same unit,-then you can tell the type checker to rewrite one into the other.--You can add more dimensions by introducing more types of class 'C'.--This approach is not entirely safe-because you can write your own flawed rewrite rules.-It is however more safe than with no units at all.--}--module Algebra.DimensionTerm where--import Prelude hiding (recip)---{- Haddock does not like 'where' clauses before empty declarations -}-class Show a => C a -- where---noValue :: C a => a-noValue =- let x = error ("there is no value of type " ++ show x)- in x--{- * Type constructors -}--data Scalar = Scalar-data Mul a b = Mul-data Recip a = Recip-type Sqr a = Mul a a--appPrec :: Int-appPrec = 10--instance Show Scalar where- show _ = "scalar"--instance (Show a, Show b) => Show (Mul a b) where- showsPrec p x =- let disect :: Mul a b -> (a,b)- disect _ = undefined- (y,z) = disect x- in showParen (p >= appPrec)- (showString "mul " . showsPrec appPrec y .- showString " " . showsPrec appPrec z)--instance (Show a) => Show (Recip a) where- showsPrec p x =- let disect :: Recip a -> a- disect _ = undefined- in showParen (p >= appPrec)- (showString "recip " . showsPrec appPrec (disect x))---instance C Scalar -- where--instance (C a, C b) => C (Mul a b) -- where--instance (C a) => C (Recip a) -- where---scalar :: Scalar-scalar = noValue--mul :: (C a, C b) => a -> b -> Mul a b-mul _ _ = noValue--recip :: (C a) => a -> Recip a-recip _ = noValue---infixl 7 %*%-infixl 7 %/%--(%*%) :: (C a, C b) => a -> b -> Mul a b-(%*%) = mul--(%/%) :: (C a, C b) => a -> b -> Mul a (Recip b)-(%/%) x y = mul x (recip y)---{- * Rewrites -}--applyLeftMul :: (C u0, C u1, C v) => (u0 -> u1) -> Mul u0 v -> Mul u1 v-applyLeftMul _ _ = noValue-applyRightMul :: (C u0, C u1, C v) => (u0 -> u1) -> Mul v u0 -> Mul v u1-applyRightMul _ _ = noValue-applyRecip :: (C u0, C u1) => (u0 -> u1) -> Recip u0 -> Recip u1-applyRecip _ _ = noValue--commute :: (C u0, C u1) => Mul u0 u1 -> Mul u1 u0-commute _ = noValue-associateLeft :: (C u0, C u1, C u2) => Mul u0 (Mul u1 u2) -> Mul (Mul u0 u1) u2-associateLeft _ = noValue-associateRight :: (C u0, C u1, C u2) => Mul (Mul u0 u1) u2 -> Mul u0 (Mul u1 u2)-associateRight _ = noValue-recipMul :: (C u0, C u1) => Recip (Mul u0 u1) -> Mul (Recip u0) (Recip u1)-recipMul _ = noValue-mulRecip :: (C u0, C u1) => Mul (Recip u0) (Recip u1) -> Recip (Mul u0 u1)-mulRecip _ = noValue--identityLeft :: C u => Mul Scalar u -> u-identityLeft _ = noValue-identityRight :: C u => Mul u Scalar -> u-identityRight _ = noValue-cancelLeft :: C u => Mul (Recip u) u -> Scalar-cancelLeft _ = noValue-cancelRight :: C u => Mul u (Recip u) -> Scalar-cancelRight _ = noValue-invertRecip :: C u => Recip (Recip u) -> u-invertRecip _ = noValue-doubleRecip :: C u => u -> Recip (Recip u)-doubleRecip _ = noValue-recipScalar :: Recip Scalar -> Scalar-recipScalar _ = noValue---{- * Example dimensions -}--{- ** Scalar -}--{- |-This class allows defining instances that are exclusively for 'Scalar' dimension.-You won't want to define instances by yourself.--}-class C dim => IsScalar dim where- toScalar :: dim -> Scalar- fromScalar :: Scalar -> dim--instance IsScalar Scalar where- toScalar = id- fromScalar = id---{- ** Basis dimensions -}--data Length = Length-data Time = Time-data Mass = Mass-data Charge = Charge-data Angle = Angle-data Temperature = Temperature-data Information = Information--length :: Length-length = noValue--time :: Time-time = noValue--mass :: Mass-mass = noValue--charge :: Charge-charge = noValue--angle :: Angle-angle = noValue--temperature :: Temperature-temperature = noValue--information :: Information-information = noValue---instance Show Length where show _ = "length"-instance Show Time where show _ = "time"-instance Show Mass where show _ = "mass"-instance Show Charge where show _ = "charge"-instance Show Angle where show _ = "angle"-instance Show Temperature where show _ = "temperature"-instance Show Information where show _ = "information"--instance C Length -- where-instance C Time -- where-instance C Mass -- where-instance C Charge -- where-instance C Angle -- where-instance C Temperature -- where-instance C Information -- where--{- ** Derived dimensions -}--type Frequency = Recip Time--frequency :: Frequency-frequency = noValue---data Voltage = Voltage--type VoltageAnalytical =- Mul (Mul (Sqr Length) Mass) (Recip (Mul (Sqr Time) Charge))--voltage :: Voltage-voltage = noValue--instance Show Voltage where show _ = "voltage"--instance C Voltage -- where--unpackVoltage :: Voltage -> VoltageAnalytical-unpackVoltage _ = noValue--packVoltage :: VoltageAnalytical -> Voltage-packVoltage _ = noValue
− src-ghc-6.12/Algebra/DivisibleSpace.hs
@@ -1,21 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Algebra.DivisibleSpace where--import qualified Algebra.VectorSpace as VectorSpace---- Is this right?-infix 7 </>--{-|-DivisibleSpace is used for free one-dimensional vector spaces. It-satisfies--> (a </> b) *> b = a--Examples include dollars and kilometers.--}-class (VectorSpace.C a b) => C a b where- (</>) :: b -> b -> a-
− src-ghc-6.12/Algebra/EqualityDecision.hs
@@ -1,110 +0,0 @@-{- |-Combination of @(==)@ and @if then else@-that can be instantiated for more types than @Eq@-or can be instantiated in a way-that allows more defined results (\"more total\" functions):--* Reader like types for representing a context- like 'Number.ResidueClass.Reader'--* Expressions in an EDSL--* More generally every type based on an applicative functor--* Tuples and Vector types--* Positional and Peano numbers,- a common prefix of two numbers can be emitted- before the comparison is done.- (This could also be done with an overloaded 'if',- what we also do not have.)--}-module Algebra.EqualityDecision where--import qualified NumericPrelude.Elementwise as Elem-import Control.Applicative (Applicative(pure, (<*>)), )-import Data.Tuple.HT (fst3, snd3, thd3, )-import Data.List (zipWith4, )---{- |-For atomic types this could be a superclass of 'Eq'.-However for composed types like tuples, lists, functions-we do elementwise comparison-which is incompatible with the complete comparison performed by '(==)'.--}-class C a where- {- |- It holds-- > (a ==? b) eq noteq == if a==b then eq else noteq-- for atomic types where the right hand side can be defined.- -}- (==?) :: a -> a -> a -> a -> a----{-# INLINE deflt #-}-deflt :: Eq a => a -> a -> a -> a -> a-deflt a b eq noteq =- if a==b then eq else noteq----instance C Int where- {-# INLINE (==?) #-}- (==?) = deflt--instance C Integer where- {-# INLINE (==?) #-}- (==?) = deflt--instance C Float where- {-# INLINE (==?) #-}- (==?) = deflt--instance C Double where- {-# INLINE (==?) #-}- (==?) = deflt--instance C Bool where- {-# INLINE (==?) #-}- (==?) = deflt--instance C Ordering where- {-# INLINE (==?) #-}- (==?) = deflt----{-# INLINE element #-}-element ::- (C x) =>- (v -> x) -> Elem.T (v,v,v,v) x-element f =- Elem.element (\(x,y,eq,noteq) -> (f x ==? f y) (f eq) (f noteq))--{-# INLINE (<*>.==?) #-}-(<*>.==?) ::- (C x) =>- Elem.T (v,v,v,v) (x -> a) -> (v -> x) -> Elem.T (v,v,v,v) a-(<*>.==?) f acc =- f <*> element acc---instance (C a, C b) => C (a,b) where- {-# INLINE (==?) #-}- (==?) = Elem.run4 $ pure (,) <*>.==? fst <*>.==? snd--instance (C a, C b, C c) => C (a,b,c) where- {-# INLINE (==?) #-}- (==?) = Elem.run4 $ pure (,,) <*>.==? fst3 <*>.==? snd3 <*>.==? thd3--instance C a => C [a] where- {-# INLINE (==?) #-}- (==?) = zipWith4 (==?)--instance (C a) => C (b -> a) where- {-# INLINE (==?) #-}- (==?) x y eq noteq c = (x c ==? y c) (eq c) (noteq c)
− src-ghc-6.12/Algebra/Field.hs
@@ -1,161 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Field (- {- * Class -}- C,-- (/),- recip,- fromRational',- fromRational,- (^-),-- {- * Properties -}- propDivision,- propReciprocal,- ) where--import Number.Ratio (T((:%)), Rational, (%), numerator, denominator, )-import qualified Number.Ratio as Ratio-import qualified Data.Ratio as Ratio98-import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Units as Unit--import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Ring ((*), (^), one, fromInteger)-import Algebra.Additive (zero, negate)-import Algebra.ZeroTestable (isZero)--import NumericPrelude.Base-import Prelude (Integer, Float, Double)-import qualified Prelude as P-import Test.QuickCheck ((==>), Property)---infixr 8 ^--infixl 7 /---{- |-Field again corresponds to a commutative ring.-Division is partially defined and satisfies--> not (isZero b) ==> (a * b) / b === a-> not (isZero a) ==> a * recip a === one--when it is defined. -To safely call division,-the program must take type-specific action;-e.g., the following is appropriate in many cases:--> safeRecip :: (Integral a, Eq a, Field.C a) => a -> Maybe a-> safeRecip x =-> let (q,r) = one `divMod` x-> in toMaybe (isZero r) q--Typical examples include rationals, the real numbers,-and rational functions (ratios of polynomial functions).-An instance should be typically declared-only if most elements are invertible.--Actually, we have also used this type class for non-fields-containing lots of units,-e.g. residue classes with respect to non-primes and power series.-So the restriction @not (isZero a)@ must be better @isUnit a@.--Minimal definition: 'recip' or ('/')--}--class (Ring.C a) => C a where- (/) :: a -> a -> a- recip :: a -> a- fromRational' :: Rational -> a- (^-) :: a -> Integer -> a-- {-# INLINE recip #-}- recip a = one / a- {-# INLINE (/) #-}- a / b = a * recip b- {-# INLINE fromRational' #-}- fromRational' r = fromInteger (numerator r) / fromInteger (denominator r)- {-# INLINE (^-) #-}- a ^- n = if n < zero- then recip (a^(-n))- else a^n- -- a ^ n | n < 0 = reduceRepeated (^) one (recip a) (negate (toInteger n))- -- | True = reduceRepeated (^) one a (toInteger n)------ | Needed to work around shortcomings in GHC.--{-# INLINE fromRational #-}-fromRational :: (C a) => P.Rational -> a-fromRational x = fromRational' (Ratio98.numerator x :% Ratio98.denominator x)---{- * Instances for atomic types -}--{--fromRational must be implemented explicitly for Float and Double!-It may be that numerator or denominator cannot be represented as Float-due to size constraints, but the fraction can.--}--instance C Float where- {-# INLINE (/) #-}- {-# INLINE recip #-}- (/) = (P./)- recip = (P.recip)- -- using Ratio98.:% would be more efficient but it is not exported.- fromRational' x =- P.fromRational (numerator x Ratio98.% denominator x)--instance C Double where- {-# INLINE (/) #-}- {-# INLINE recip #-}- (/) = (P./)- recip = (P.recip)- fromRational' x =- P.fromRational (numerator x Ratio98.% denominator x)--instance (PID.C a) => C (Ratio.T a) where- {-# INLINE (/) #-}- {-# INLINE recip #-}- {-# INLINE fromRational' #-}--- (/) = Ratio.liftOrd (%)- x / y = x * recip y-{--This is efficient and almost correct in the sense,-that all admissible cases yield a correct result.-However it will hide division by zero and thus may hide bugs.-Unfortunately 'x' might not be a standard associate,-thus (y:%x) may deviate from the canonical representation.-- recip (x:%y) = (y:%x)--}- recip (x:%y) =- if isZero y- then error "Ratio./: division by zero"- else (y * Unit.stdUnitInv x) :% Unit.stdAssociate x- fromRational' (x:%y) = fromInteger x % fromInteger y----- | the restriction on the divisor should be @isUnit a@ instead of @not (isZero a)@-propDivision :: (Eq a, ZeroTestable.C a, C a) => a -> a -> Property-propReciprocal :: (Eq a, ZeroTestable.C a, C a) => a -> Property--propDivision a b = not (isZero b) ==> (a * b) / b == a-propReciprocal a = not (isZero a) ==> a * recip a == one------ legacy--instance (P.Integral a) => C (Ratio98.Ratio a) where- {-# INLINE (/) #-}- {-# INLINE recip #-}- (/) = (P./)- recip = (P.recip)
− src-ghc-6.12/Algebra/GenerateRules.hs
@@ -1,86 +0,0 @@-{- |-Poor man's Template Haskell:-Generate RULES for handling of primitive number types.--}-module Main where--import Data.Maybe (fromMaybe, )--import Prelude hiding (fromIntegral, )---pad :: Int -> String -> String-pad n str =- zipWith fromMaybe- (replicate n ' ')- (map Just str ++ repeat Nothing)---machineIntegerTypes :: [String]-machineIntegerTypes =- do typeSign <- "Int" : "Word" : []- typeSize <- "" : "8" : "16" : "32" : "64" : []- return $ typeSign ++ typeSize--functionSignature :: String -> String -> String -> String-functionSignature functionName sourceType targetType =- functionName ++ " :: " ++ sourceType ++ " -> " ++ targetType--{--Simply replace NumericPrelude.roundFunc by Prelude98.roundFunc.-This is only sensible where Prelude functions are optimized.-Unfortunately there seems to be no optimization for target type Int8 et.al.--}-realField :: [String]-realField =- do sourceType <- "Float" : "Double" : []- targetType <- machineIntegerTypes- method <- "round" : "truncate" : "floor" : "ceiling" : []- let methodPad = pad 8 method- let signature = functionSignature methodPad sourceType targetType- return $ " " ++- pad 40 ("\"NP." ++ signature ++ "\"") ++- methodPad ++ " = P." ++ signature ++ ";"--realFieldIndirect :: [String]-realFieldIndirect =- do targetType <- tail machineIntegerTypes- method <- "round" : "roundSimple" : "truncate" : "floor" : "ceiling" : []- let methodPad = pad 11 method- let signature = functionSignature methodPad "a" targetType- return $ " " ++- pad 33 ("\"NP." ++ signature ++ "\"") ++- methodPad ++ " = (" ++ functionSignature "P.fromIntegral" "Int" targetType ++ ") . "- ++ method ++ ";"--splitFractionIndirect :: [String]-splitFractionIndirect =- do targetType <- tail machineIntegerTypes- method <- "splitFraction" : []- let methodPad = pad 13 method- let signature = functionSignature methodPad "a" ("("++targetType++",a)")- return $ " " ++- pad 40 ("\"NP." ++ signature ++ "\"") ++- methodPad ++ " = mapFst (" ++ functionSignature "P.fromIntegral" "Int" targetType ++ ") . "- ++ method ++ ";"---fromIntegral :: [String]-fromIntegral =- do sourceType <- "Integer" : machineIntegerTypes- targetType <- "Int" : "Integer" : "Float" : "Double" : []- let function = "fromIntegral"- let signature = functionSignature function sourceType targetType- return $ " " ++- pad 40 ("\"NP." ++ signature ++ "\"") ++- function ++ " = P." ++ signature ++ ";"---main :: IO ()-main =- putStrLn "module Algebra.RealRing" >>- mapM_ putStrLn realFieldIndirect >>- mapM_ putStrLn splitFractionIndirect >>-- putStrLn "module Algebra.ToInteger" >>- mapM_ putStrLn fromIntegral
− src-ghc-6.12/Algebra/Indexable.hs
@@ -1,76 +0,0 @@-{- |-Copyright : (c) Henning Thielemann 2007-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--An alternative type class for Ord-which allows an ordering for dictionaries like "Data.Map" and "Data.Set"-independently from the ordering with respect to a magnitude.--}--module Algebra.Indexable (- C(compare),- ordCompare,- liftCompare,- ToOrd,- toOrd,- fromOrd,- ) where--import Prelude hiding (compare)--import qualified Prelude as P---{- |-Definition of an alternative ordering of objects-independent from a notion of magnitude.-For an application see "MathObj.PartialFraction".--}-class Eq a => C a where- compare :: a -> a -> Ordering--{- |-If the type has already an 'Ord' instance-it is certainly the most easiest to define 'Algebra.Indexable.compare'-to be equal to @Ord@'s 'compare'.--}-ordCompare :: Ord a => a -> a -> Ordering-ordCompare = P.compare--{- |-Lift 'compare' implementation from a wrapped object.--}-liftCompare :: C b => (a -> b) -> a -> a -> Ordering-liftCompare f x y = compare (f x) (f y)---instance (C a, C b) => C (a,b) where- compare (x0,x1) (y0,y1) =- let res = compare x0 y0- in case res of- EQ -> compare x1 y1- _ -> res--instance C a => C [a] where- compare [] [] = EQ- compare [] _ = LT- compare _ [] = GT- compare (x:xs) (y:ys) = compare (x,xs) (y,ys)--instance C Integer where- compare = ordCompare---{- |-Wrap an indexable object such that it can be used in "Data.Map" and "Data.Set".--}-newtype ToOrd a = ToOrd {fromOrd :: a} deriving (Eq, Show)--toOrd :: a -> ToOrd a-toOrd = ToOrd---instance C a => Ord (ToOrd a) where- compare (ToOrd x) (ToOrd y) = compare x y
− src-ghc-6.12/Algebra/IntegralDomain.hs
@@ -1,339 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.IntegralDomain (- {- * Class -}- C,- div, mod, divMod,-- {- * Derived functions -}- divModZero,- divides,- sameResidueClass,- divChecked, safeDiv,- even,- odd,-- divUp,- roundDown,- roundUp,-- {- * Algorithms -}- decomposeVarPositional,- decomposeVarPositionalInf,-- {- * Properties -}- propInverse,- propMultipleDiv,- propMultipleMod,- propProjectAddition,- propProjectMultiplication,- propUniqueRepresentative,- propZeroRepresentative,- propSameResidueClass,- ) where--import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Ring ((*), fromInteger, )-import Algebra.Additive (zero, (+), (-), negate, )-import Algebra.ZeroTestable (isZero, )--import Data.Bool.HT (implies, )-import Data.List (mapAccumL, )--import Test.QuickCheck ((==>), Property)--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import NumericPrelude.Base-import Prelude (Integer, )-import qualified Prelude as P----infixl 7 `div`, `mod`---{--Shall we require- @ a `mod` 0 === a @ (divModZero)-or- @ a `mod` 0 === undefined @-?--}---{- |-@IntegralDomain@ corresponds to a commutative ring,-where @a `mod` b@ picks a canonical element-of the equivalence class of @a@ in the ideal generated by @b@.-'div' and 'mod' satisfy the laws--> a * b === b * a-> (a `div` b) * b + (a `mod` b) === a-> (a+k*b) `mod` b === a `mod` b-> 0 `mod` b === 0--Typical examples of @IntegralDomain@ include integers and-polynomials over a field.-Note that for a field, there is a canonical instance-defined by the above rules; e.g.,--> instance IntegralDomain.C Rational where-> divMod a b =-> if isZero b-> then (undefined,a)-> else (a\/b,0)--It shall be noted, that 'div', 'mod', 'divMod' have a parameter order-which is unfortunate for partial application.-But it is adapted to mathematical conventions,-where the operators are used in infix notation.--Minimal definition: 'divMod' or ('div' and 'mod')--}-class (Ring.C a) => C a where- div, mod :: a -> a -> a- divMod :: a -> a -> (a,a)-- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div a b = fst (divMod a b)- mod a b = snd (divMod a b)- divMod a b = (div a b, mod a b)---{-# INLINE divides #-}-divides :: (C a, ZeroTestable.C a) => a -> a -> Bool-divides y x = isZero (mod x y)--{-# INLINE sameResidueClass #-}-sameResidueClass :: (C a, ZeroTestable.C a) => a -> a -> a -> Bool-sameResidueClass m x y = divides m (x-y)----{- |-@decomposeVarPositional [b0,b1,b2,...] x@-decomposes @x@ into a positional representation with mixed bases-@x0 + b0*(x1 + b1*(x2 + b2*x3))@-E.g. @decomposeVarPositional (repeat 10) 123 == [3,2,1]@--}-decomposeVarPositional :: (C a, ZeroTestable.C a) => [a] -> a -> [a]-decomposeVarPositional bs x =- map fst $- takeWhile (not . isZero . snd) $- decomposeVarPositionalInfAux bs x--decomposeVarPositionalInf :: (C a) => [a] -> a -> [a]-decomposeVarPositionalInf bs =- map fst . decomposeVarPositionalInfAux bs--decomposeVarPositionalInfAux :: (C a) => [a] -> a -> [(a,a)]-decomposeVarPositionalInfAux bs x =- let (endN,digits) =- mapAccumL- (\n b -> let (q,r) = divMod n b in (q,(r,n)))- x bs- in digits ++ [(endN,endN)]----{- |-Returns the result of the division, if divisible.-Otherwise undefined.--}-{-# INLINE divChecked #-}-divChecked, safeDiv :: (ZeroTestable.C a, C a) => a -> a -> a-divChecked a b =- let (q,r) = divMod a b- in if isZero r- then q- else error "safeDiv: indivisible term"--{-# DEPRECATED safeDiv "use divChecked instead" #-}-safeDiv = divChecked--{- |-Allows division by zero.-If the divisor is zero, then the dividend is returned as remainder.--}-{-# INLINE divModZero #-}-divModZero :: (C a, ZeroTestable.C a) => a -> a -> (a,a)-divModZero x y =- if isZero y- then (zero,x)- else divMod x y----{-# INLINE even #-}-{-# INLINE odd #-}-even, odd :: (C a, ZeroTestable.C a) => a -> Bool-even n = divides 2 n-odd = not . even---{- |-@roundDown n m@ rounds @n@ down to the next multiple of @m@.-That is, @roundDown n m@ is the greatest multiple of @m@-that is at most @n@.-The parameter order is consistent with @div@ and friends,-but maybe not useful for partial application.--}-roundDown :: C a => a -> a -> a-roundDown n m = n - mod n m--{- |-@roundUp n m@ rounds @n@ up to the next multiple of @m@.-That is, @roundUp n m@ is the greatest multiple of @m@-that is at most @n@.--}-roundUp :: C a => a -> a -> a-roundUp n m = n + mod (-n) m--{- |-@divUp n m@ is similar to @div@-but it rounds up the quotient,-such that @divUp n m * m = roundUp n m@.--}-divUp :: C a => a -> a -> a-divUp n m = - div (-n) m--{--What sign of the remainder is most appropriate?--divModUp :: C a => a -> a -> (a,a)-divModUp n m = mapFst negate $ divMod (-n) m--}---{- * Instances for atomic types -}--instance C Integer where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Int where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Int8 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Int16 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Int32 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Int64 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod---instance C Word where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Word8 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Word16 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Word32 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod--instance C Word64 where- {-# INLINE div #-}- {-# INLINE mod #-}- {-# INLINE divMod #-}- div = P.div- mod = P.mod- divMod = P.divMod------- Ring.propCommutative and ...-propInverse :: (Eq a, C a, ZeroTestable.C a) => a -> a -> Property-propMultipleDiv :: (Eq a, C a, ZeroTestable.C a) => a -> a -> Property-propMultipleMod :: (Eq a, C a, ZeroTestable.C a) => a -> a -> Property-propProjectAddition :: (Eq a, C a, ZeroTestable.C a) => a -> a -> a -> Property-propProjectMultiplication :: (Eq a, C a, ZeroTestable.C a) => a -> a -> a -> Property-propSameResidueClass :: (Eq a, C a, ZeroTestable.C a) => a -> a -> a -> Property-propUniqueRepresentative :: (Eq a, C a, ZeroTestable.C a) => a -> a -> a -> Property-propZeroRepresentative :: (Eq a, C a, ZeroTestable.C a) => a -> Property---propInverse m a =- not (isZero m) ==> (a `div` m) * m + (a `mod` m) == a-propMultipleDiv m a =- not (isZero m) ==> (a*m) `div` m == a-propMultipleMod m a =- not (isZero m) ==> (a*m) `mod` m == 0-propProjectAddition m a b =- not (isZero m) ==>- (a+b) `mod` m == ((a`mod`m)+(b`mod`m)) `mod` m-propProjectMultiplication m a b =- not (isZero m) ==>- (a*b) `mod` m == ((a`mod`m)*(b`mod`m)) `mod` m-propUniqueRepresentative m k a =- not (isZero m) ==>- (a+k*m) `mod` m == a `mod` m-propZeroRepresentative m =- not (isZero m) ==>- zero `mod` m == zero-propSameResidueClass m a b =- not (isZero m) ==>- a `mod` m == b `mod` m `implies` sameResidueClass m a b
− src-ghc-6.12/Algebra/Lattice.hs
@@ -1,69 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Lattice (- C(up, dn)- , max, min, abs- , propUpCommutative, propDnCommutative- , propUpAssociative, propDnAssociative- , propUpDnDistributive, propDnUpDistributive-) where--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Additive as Additive-import qualified Number.Ratio as Ratio--import qualified Algebra.Laws as Laws--import NumericPrelude.Numeric hiding (abs)-import NumericPrelude.Base hiding (max, min)-import qualified Prelude as P--infixl 5 `up`, `dn`--class C a where- up, dn :: a -> a -> a---{- * Properties -}--propUpCommutative, propDnCommutative ::- (Eq a, C a) => a -> a -> Bool-propUpCommutative = Laws.commutative up-propDnCommutative = Laws.commutative dn--propUpAssociative, propDnAssociative ::- (Eq a, C a) => a -> a -> a -> Bool-propUpAssociative = Laws.associative up-propDnAssociative = Laws.associative dn--propUpDnDistributive, propDnUpDistributive ::- (Eq a, C a) => a -> a -> a -> Bool-propUpDnDistributive = Laws.leftDistributive up dn-propDnUpDistributive = Laws.leftDistributive dn up------- With @up == gcd@ and @dn == lcm@ we have also a lattice.-instance C Integer where- up = P.max- dn = P.min--instance (Ord a, PID.C a) => C (Ratio.T a) where- up = P.max- dn = P.min--instance C Bool where- up = (P.||)- dn = (P.&&)--instance (C a, C b) => C (a,b) where- (x1,y1)`up`(x2,y2) = (x1`up`x2, y1`up`y2)- (x1,y1)`dn`(x2,y2) = (x1`dn`x2, y1`dn`y2)---max, min :: (C a) => a -> a -> a-max = up-min = dn--abs :: (C a, Additive.C a) => a -> a-abs x = x `up` negate x
− src-ghc-6.12/Algebra/Laws.hs
@@ -1,57 +0,0 @@-{- |-Define common properties that can be used e.g. for automated tests.-Cf. to "Test.QuickCheck.Utils".--}-module Algebra.Laws where---commutative :: Eq a => (b -> b -> a) -> b -> b -> Bool-commutative op x y = x `op` y == y `op` x--associative :: Eq a => (a -> a -> a) -> a -> a -> a -> Bool-associative op x y z = (x `op` y) `op` z == x `op` (y `op` z)--leftIdentity :: Eq a => (b -> a -> a) -> b -> a -> Bool-leftIdentity op y x = y `op` x == x--rightIdentity :: Eq a => (a -> b -> a) -> b -> a -> Bool-rightIdentity op y x = x `op` y == x--identity :: Eq a => (a -> a -> a) -> a -> a -> Bool-identity op x y = leftIdentity op x y && rightIdentity op x y--leftZero :: Eq a => (a -> a -> a) -> a -> a -> Bool-leftZero = flip . rightIdentity--rightZero :: Eq a => (a -> a -> a) -> a -> a -> Bool-rightZero = flip . leftIdentity--zero :: Eq a => (a -> a -> a) -> a -> a -> Bool-zero op x y = leftZero op x y && rightZero op x y--leftInverse :: Eq a => (b -> b -> a) -> (b -> b) -> a -> b -> Bool-leftInverse op inv y x = inv x `op` x == y--rightInverse :: Eq a => (b -> b -> a) -> (b -> b) -> a -> b -> Bool-rightInverse op inv y x = x `op` inv x == y--inverse :: Eq a => (b -> b -> a) -> (b -> b) -> a -> b -> Bool-inverse op inv y x = leftInverse op inv y x && rightInverse op inv y x--leftDistributive :: Eq a => (a -> b -> a) -> (a -> a -> a) -> b -> a -> a -> Bool-leftDistributive ( # ) op x y z = (y `op` z) # x == (y # x) `op` (z # x)--rightDistributive :: Eq a => (b -> a -> a) -> (a -> a -> a) -> b -> a -> a -> Bool-rightDistributive ( # ) op x y z = x # (y `op` z) == (x # y) `op` (x # z)--homomorphism :: Eq a =>- (b -> a) -> (b -> b -> b) -> (a -> a -> a) -> b -> b -> Bool-homomorphism f op0 op1 x y = f (x `op0` y) == f x `op1` f y--rightCascade :: Eq a =>- (b -> b -> b) -> (a -> b -> a) -> a -> b -> b -> Bool-rightCascade ( # ) op x i j = (x `op` i) `op` j == x `op` (i#j)--leftCascade :: Eq a =>- (b -> b -> b) -> (b -> a -> a) -> a -> b -> b -> Bool-leftCascade ( # ) op x i j = j `op` (i `op` x) == (j#i) `op` x
− src-ghc-6.12/Algebra/Module.hs
@@ -1,153 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Dylan Thurston, Henning Thielemann 2004-2005--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Abstraction of modules--}--module Algebra.Module where--import qualified Number.Ratio as Ratio--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ToInteger as ToInteger--import qualified Algebra.Laws as Laws--import Algebra.Ring ((*), fromInteger, )-import Algebra.Additive ((+), zero, sum, )--import qualified NumericPrelude.Elementwise as Elem-import Control.Applicative (Applicative(pure, (<*>)), )--import Data.Function.HT (powerAssociative, )-import Data.List (map, zipWith, )-import Data.Tuple.HT (fst3, snd3, thd3, )-import Data.Tuple (fst, snd, )--import Prelude((.), Eq, Bool, Int, Integer, Float, Double, ($), )--- import qualified Prelude as P----- Is this right?-infixr 7 *>--{--Functional dependency can't be used-since @Complex.T a@ is a module-with respect to both @a@ and @Complex.T a@.--class Algebra.Module.C a v | v -> a where--}--{-|-A Module over a ring satisfies:--> a *> (b + c) === a *> b + a *> c-> (a * b) *> c === a *> (b *> c)-> (a + b) *> c === a *> c + b *> c--}-class (Ring.C a, Additive.C v) => C a v where- -- | scale a vector by a scalar- (*>) :: a -> v -> v---{-# INLINE (<*>.*>) #-}-(<*>.*>) ::- (C a x) =>- Elem.T (a,v) (x -> c) -> (v -> x) -> Elem.T (a,v) c-(<*>.*>) f acc =- f <*> Elem.element (\(a,v) -> a *> acc v)----{-* Instances for atomic types -}--instance C Float Float where- {-# INLINE (*>) #-}- (*>) = (*)--instance C Double Double where- {-# INLINE (*>) #-}- (*>) = (*)--instance C Int Int where- {-# INLINE (*>) #-}- (*>) = (*)--instance C Integer Integer where- {-# INLINE (*>) #-}- (*>) = (*)--instance (PID.C a) => C (Ratio.T a) (Ratio.T a) where- {-# INLINE (*>) #-}- (*>) = (*)--instance (PID.C a) => C Integer (Ratio.T a) where- {-# INLINE (*>) #-}- x *> y = fromInteger x * y----{-* Instances for composed types -}--instance (C a b0, C a b1) => C a (b0, b1) where- {-# INLINE (*>) #-}- (*>) = Elem.run2 $ pure (,) <*>.*> fst <*>.*> snd- -- s *> (x0,x1) = (s *> x0, s *> x1)--instance (C a b0, C a b1, C a b2) => C a (b0, b1, b2) where- {-# INLINE (*>) #-}- (*>) = Elem.run2 $ pure (,,) <*>.*> fst3 <*>.*> snd3 <*>.*> thd3- -- s *> (x0,x1,x2) = (s *> x0, s *> x1, s *> x2)--instance (C a v) => C a [v] where- {-# INLINE (*>) #-}- (*>) = map . (*>)--instance (C a v) => C a (c -> v) where- {-# INLINE (*>) #-}- (*>) s f = (*>) s . f---{-* Related functions -}--{-|-Compute the linear combination of a list of vectors.--ToDo:-Should it use 'NumericPrelude.List.Checked.zipWith' ?--}-linearComb :: C a v => [a] -> [v] -> v-linearComb c = sum . zipWith (*>) c--{-|-This function can be used to define any-'Additive.C' as a module over 'Integer'.--Better move to "Algebra.Additive"?--}-{-# INLINE integerMultiply #-}-integerMultiply :: (ToInteger.C a, Additive.C v) => a -> v -> v-integerMultiply a v =- powerAssociative (+) zero v (ToInteger.toInteger a)---{- * Properties -}--propCascade :: (Eq v, C a v) => v -> a -> a -> Bool-propCascade = Laws.leftCascade (*) (*>)--propRightDistributive :: (Eq v, C a v) => a -> v -> v -> Bool-propRightDistributive = Laws.rightDistributive (*>) (+)--propLeftDistributive :: (Eq v, C a v) => v -> a -> a -> Bool-propLeftDistributive x = Laws.homomorphism (*>x) (+) (+)
− src-ghc-6.12/Algebra/ModuleBasis.hs
@@ -1,95 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Abstraction of bases of finite dimensional modules--}--module Algebra.ModuleBasis where--import qualified Number.Ratio as Ratio--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Module as Module--- import qualified Algebra.Additive as Additive-import Algebra.Ring (one, fromInteger)-import Algebra.Additive ((+), zero)--import Data.List (map, length, (++))--import Prelude(Eq, (==), Bool, Int, Integer, Float, Double, asTypeOf, )--- import qualified Prelude as P--{- |-It must hold:--> Module.linearComb (flatten v `asTypeOf` [a]) (basis a) == v-> dimension a v == length (flatten v `asTypeOf` [a])--}-class (Module.C a v) => C a v where- {- | basis of the module with respect to the scalar type,- the result must be independent of argument, 'Prelude.undefined' should suffice. -}- basis :: a -> [v]- -- | scale a vector by a scalar- flatten :: v -> [a]- {- | the size of the basis, should also work for undefined argument,- the result must be independent of argument, 'Prelude.undefined' should suffice. -}- dimension :: a -> v -> Int--{-* Instances for atomic types -}--instance C Float Float where- basis _ = [one]- flatten = (:[])- dimension _ _ = 1--instance C Double Double where- basis _ = [one]- flatten = (:[])- dimension _ _ = 1--instance C Int Int where- basis _ = [one]- flatten = (:[])- dimension _ _ = 1--instance C Integer Integer where- basis _ = [one]- flatten = (:[])- dimension _ _ = 1--instance (PID.C a) => C (Ratio.T a) (Ratio.T a) where- basis _ = [one]- flatten = (:[])- dimension _ _ = 1----{-* Instances for composed types -}--instance (C a v0, C a v1) => C a (v0, v1) where- basis s = map (\v -> (v,zero)) (basis s) ++- map (\v -> (zero,v)) (basis s)- flatten (x0,x1) = flatten x0 ++ flatten x1- dimension s ~(x0,x1) = dimension s x0 + dimension s x1--instance (C a v0, C a v1, C a v2) => C a (v0, v1, v2) where- basis s = map (\v -> (v,zero,zero)) (basis s) ++- map (\v -> (zero,v,zero)) (basis s) ++- map (\v -> (zero,zero,v)) (basis s)- flatten (x0,x1,x2) = flatten x0 ++ flatten x1 ++ flatten x2- dimension s ~(x0,x1,x2) = dimension s x0 + dimension s x1 + dimension s x2----{- * Properties -}--propFlatten :: (Eq v, C a v) => a -> v -> Bool-propFlatten a v = Module.linearComb (flatten v `asTypeOf` [a]) (basis a) == v--propDimension :: (C a v) => a -> v -> Bool-propDimension a v = dimension a v == length (flatten v `asTypeOf` [a])
− src-ghc-6.12/Algebra/Monoid.hs
@@ -1,72 +0,0 @@-{- |-Copyright : (c) Henning Thielemann 2009-2010, Mikael Johansson 2006-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability :--Abstract concept of a Monoid.-Will be used in order to generate type classes for generic algebras.-An algebra is a vector space that also is a monoid.-Should we use the Monoid class from base library-despite its unfortunate method name @mappend@?--}--module Algebra.Monoid where--import qualified Algebra.Additive as Additive-import qualified Algebra.Ring as Ring--import Data.Monoid as Mn--{- |-We expect a monoid to adher to associativity and-the identity behaving decently.-Nothing more, really.--}-class C a where- idt :: a- (<*>) :: a -> a -> a- cumulate :: [a] -> a- cumulate = foldr (<*>) idt---instance C All where- idt = mempty- (<*>) = mappend- cumulate = mconcat--instance C Any where- idt = mempty- (<*>) = mappend- cumulate = mconcat--instance C a => C (Dual a) where- idt = Mn.Dual idt- (Mn.Dual x) <*> (Mn.Dual y) = Mn.Dual (y <*> x)- cumulate = Mn.Dual . cumulate . reverse . map Mn.getDual--instance C (Endo a) where- idt = mempty- (<*>) = mappend- cumulate = mconcat--instance C (First a) where- idt = mempty- (<*>) = mappend- cumulate = mconcat--instance C (Last a) where- idt = mempty- (<*>) = mappend- cumulate = mconcat---instance Ring.C a => C (Product a) where- idt = Mn.Product Ring.one- (Mn.Product x) <*> (Mn.Product y) = Mn.Product (x Ring.* y)- cumulate = Mn.Product . Ring.product . map Mn.getProduct--instance Additive.C a => C (Sum a) where- idt = Mn.Sum Additive.zero- (Mn.Sum x) <*> (Mn.Sum y) = Mn.Sum (x Additive.+ y)- cumulate = Mn.Sum . Additive.sum . map Mn.getSum
− src-ghc-6.12/Algebra/NonNegative.hs
@@ -1,130 +0,0 @@-{- |-Copyright : (c) Henning Thielemann 2007-2010--Maintainer : haskell@henning-thielemann.de-Stability : stable-Portability : Haskell 98--A type class for non-negative numbers.-Prominent instances are 'Number.NonNegative.T' and 'Number.Peano.T' numbers.-This class cannot do any checks,-but it let you show to the user what arguments your function expects.-Thus you must define class instances with care.-In fact many standard functions ('take', '(!!)', ...)-should have this type class constraint.--}-module Algebra.NonNegative (- C(..),- splitDefault,-- (-|),--- (-?),- zero,- add,- sum,- ) where--import qualified Algebra.Additive as Additive--- import qualified Algebra.RealRing as RealRing--import qualified Algebra.Monoid as Monoid---- import Algebra.Absolute (abs, )-import Algebra.Additive ((-), )--import Prelude hiding (sum, (-), abs, )---infixl 6 -| -- , -?---{- |-Instances of this class must ensure non-negative values.-We cannot enforce this by types, but the type class constraint @NonNegative.C@-avoids accidental usage of types which allow for negative numbers.--The Monoid superclass contributes a zero and an addition.--}-class (Ord a, Monoid.C a) => C a where- {- |- @split x y == (m,(b,d))@ means that- @b == (x<=y)@,- @m == min x y@,- @d == max x y - min x y@, that is @d == abs(x-y)@.-- We have chosen this function as base function,- since it provides comparison and subtraction in one go,- which is important for replacing common structures like-- > if x<=y- > then f(x-y)- > else g(y-x)-- that lead to a memory leak for peano numbers.- We have choosen the simple check @x<=y@- instead of a full-blown @compare@,- since we want @Zero <= undefined@ for peano numbers.- Because of undefined values 'split' is in general- not commutative in the sense-- > let (m0,(b0,d0)) = split x y- > (m1,(b1,d1)) = split y x- > in m0==m1 && d0==d1-- The result values are in the order- in which they are generated for Peano numbers.- We have chosen the nested pair instead of a triple- in order to prevent a memory leak- that occurs if you only use @b@ and @d@ and ignore @m@.- This is demonstrated by test cases- Chunky.splitSpaceLeak3 and Chunky.splitSpaceLeak4.- -}- split :: a -> a -> (a, (Bool, a))---{- |-Default implementation for wrapped types of 'Ord' and 'Num' class.--}-{-# INLINE splitDefault #-}-splitDefault ::- (Ord b, Additive.C b) =>- (a -> b) -> (b -> a) -> a -> a -> (a, (Bool, a))-splitDefault unpack pack px py =- let x = unpack px- y = unpack py- in if x<=y- then (pack x, (True, pack (y-x)))- else (pack y, (False, pack (x-y)))---zero :: C a => a-zero = Monoid.idt---- like (+)-infixl 6 `add`--add :: C a => a -> a -> a-add = (Monoid.<*>)--sum :: C a => [a] -> a-sum = Monoid.cumulate---{- |-@x -| y == max 0 (x-y)@--The default implementation is not efficient,-because it compares the values and then subtracts, again, if safe.-@max 0 (x-y)@ is more elegant and efficient-but not possible in the general case,-since @x-y@ may already yield a negative number.--}-(-|) :: C a => a -> a -> a-x -| y =- let (b,d) = snd $ split y x- in if b then d else zero--{--(-?) :: (RealRing.C a) => a -> a -> (Bool, a)-(-?) x y = snd $ split y x--}
− src-ghc-6.12/Algebra/NormedSpace/Euclidean.hs
@@ -1,126 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- |-Copyright : (c) Henning Thielemann 2005-2010-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Abstraction of normed vector spaces--}--module Algebra.NormedSpace.Euclidean where--import NumericPrelude.Base-import NumericPrelude.Numeric (sqr, abs, zero, (+), sum, Float, Double, Int, Integer, )--import qualified Number.Ratio as Ratio--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Module as Module--import qualified Data.Foldable as Fold---{-|-Helper class for 'C' that does not need an algebraic type @a@.--Minimal definition:-'normSqr'--}-class (Absolute.C a, Module.C a v) => Sqr a v where- {-| Square of the Euclidean norm of a vector.- This is sometimes easier to implement. -}- normSqr :: v -> a--- normSqr = sqr . norm--{- |-Default definition for 'normSqr' that is based on 'Fold.Foldable' class.--}-{-# INLINE normSqrFoldable #-}-normSqrFoldable ::- (Sqr a v, Fold.Foldable f) => f v -> a-normSqrFoldable =- Fold.foldl (\a v -> a + normSqr v) zero--{- |-Default definition for 'normSqr' that is based on 'Fold.Foldable' class-and the argument vector has at least one component.--}-{-# INLINE normSqrFoldable1 #-}-normSqrFoldable1 ::- (Sqr a v, Fold.Foldable f, Functor f) => f v -> a-normSqrFoldable1 =- Fold.foldl1 (+) . fmap normSqr---{-|-A vector space equipped with an Euclidean or a Hilbert norm.--Minimal definition:-'norm'--}-class (Sqr a v) => C a v where- {-| Euclidean norm of a vector. -}- norm :: v -> a---defltNorm :: (Algebraic.C a, Sqr a v) => v -> a-defltNorm = Algebraic.sqrt . normSqr---{-* Instances for atomic types -}--instance Sqr Float Float where- normSqr = sqr--instance C Float Float where- norm = abs--instance Sqr Double Double where- normSqr = sqr--instance C Double Double where- norm = abs--instance Sqr Int Int where- normSqr = sqr--instance C Int Int where- norm = abs--instance Sqr Integer Integer where- normSqr = sqr--instance C Integer Integer where- norm = abs---{-* Instances for composed types -}--instance (Absolute.C a, PID.C a) => Sqr (Ratio.T a) (Ratio.T a) where- normSqr = sqr--instance (Sqr a v0, Sqr a v1) => Sqr a (v0, v1) where- normSqr (x0,x1) = normSqr x0 + normSqr x1--instance (Algebraic.C a, Sqr a v0, Sqr a v1) => C a (v0, v1) where- norm = defltNorm--instance (Sqr a v0, Sqr a v1, Sqr a v2) => Sqr a (v0, v1, v2) where- normSqr (x0,x1,x2) = normSqr x0 + normSqr x1 + normSqr x2--instance (Algebraic.C a, Sqr a v0, Sqr a v1, Sqr a v2) => C a (v0, v1, v2) where- norm = defltNorm--instance (Sqr a v) => Sqr a [v] where- normSqr = sum . map normSqr--instance (Algebraic.C a, Sqr a v) => C a [v] where- norm = defltNorm
− src-ghc-6.12/Algebra/NormedSpace/Maximum.hs
@@ -1,85 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- |-Copyright : (c) Henning Thielemann 2005-2010-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Abstraction of normed vector spaces--}--module Algebra.NormedSpace.Maximum where--import NumericPrelude.Base-import NumericPrelude.Numeric--import qualified Number.Ratio as Ratio--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.ToInteger as ToInteger-import qualified Algebra.RealRing as RealRing-import qualified Algebra.Module as Module--import qualified Data.Foldable as Fold---class (RealRing.C a, Module.C a v) => C a v where- norm :: v -> a--{- |-Default definition for 'norm' that is based on 'Fold.Foldable' class.--}-{-# INLINE normFoldable #-}-normFoldable ::- (C a v, Fold.Foldable f) => f v -> a-normFoldable =- Fold.foldl (\a v -> max a (norm v)) zero--{- |-Default definition for 'norm' that is based on 'Fold.Foldable' class-and the argument vector has at least one component.--}-{-# INLINE normFoldable1 #-}-normFoldable1 ::- (C a v, Fold.Foldable f, Functor f) => f v -> a-normFoldable1 =- Fold.foldl1 max . fmap norm--{--instance (Ring.C a, Algebra.Module a a) => C a a where- norm = abs--}-instance C Float Float where- norm = abs--instance C Double Double where- norm = abs--instance C Int Int where- norm = abs--instance C Integer Integer where- norm = abs---instance (RealRing.C a, ToInteger.C a, PID.C a) => C (Ratio.T a) (Ratio.T a) where- norm = abs--instance (Ord a, C a v0, C a v1) => C a (v0, v1) where- norm (x0,x1) = max (norm x0) (norm x1)--instance (Ord a, C a v0, C a v1, C a v2) => C a (v0, v1, v2) where- norm (x0,x1,x2) = (norm x0) `max` (norm x1) `max` (norm x2)--instance (Ord a, C a v) => C a [v] where- norm = foldl max zero . map norm-{--Since the norm is always non-negative,-we can use zero as identity element.- norm = maximum . map norm--}
− src-ghc-6.12/Algebra/NormedSpace/Sum.hs
@@ -1,90 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- |-Copyright : (c) Henning Thielemann 2005-2010-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Abstraction of normed vector spaces--}--module Algebra.NormedSpace.Sum where--import NumericPrelude.Base-import NumericPrelude.Numeric--import qualified Number.Ratio as Ratio--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Additive as Additive-import qualified Algebra.Module as Module--import qualified Data.Foldable as Fold---{-|- The super class is only needed to state the laws- @- v == zero == norm v == zero- norm (scale x v) == abs x * norm v- norm (u+v) <= norm u + norm v- @--}-class (Absolute.C a, Module.C a v) => C a v where- norm :: v -> a--{- |-Default definition for 'norm' that is based on 'Fold.Foldable' class.--}-{-# INLINE normFoldable #-}-normFoldable ::- (C a v, Fold.Foldable f) => f v -> a-normFoldable =- Fold.foldl (\a v -> a + norm v) zero--{- |-Default definition for 'norm' that is based on 'Fold.Foldable' class-and the argument vector has at least one component.--}-{-# INLINE normFoldable1 #-}-normFoldable1 ::- (C a v, Fold.Foldable f, Functor f) => f v -> a-normFoldable1 =- Fold.foldl1 (+) . fmap norm---{--instance (Ring.C a, Algebra.Module a a) => C a a where- norm = abs--}--instance C Float Float where- norm = abs--instance C Double Double where- norm = abs--instance C Int Int where- norm = abs--instance C Integer Integer where- norm = abs---instance (Absolute.C a, PID.C a) => C (Ratio.T a) (Ratio.T a) where- norm = abs--instance (Additive.C a, C a v0, C a v1) => C a (v0, v1) where- norm (x0,x1) = norm x0 + norm x1--instance (Additive.C a, C a v0, C a v1, C a v2) => C a (v0, v1, v2) where- norm (x0,x1,x2) = norm x0 + norm x1 + norm x2--instance (Additive.C a, C a v) => C a [v] where- norm = sum . map norm
− src-ghc-6.12/Algebra/OccasionallyScalar.hs
@@ -1,83 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- |--There are several types of numbers-where a subset of numbers can be considered as set of scalars.-- * A '(Complex.T Double)' value can be converted to 'Double' if the imaginary part is zero.-- * A value with physical units can be converted to a scalar if there is no unit. --Of course this can be cascaded,-e.g. a complex number with physical units can be converted to a scalar-if there is both no imaginary part and no unit.--This is somewhat similar to the multi-type classes NormedMax.C and friends.--I hesitate to define an instance for lists-to avoid the mess known of MatLab.-But if you have an application where you think-you need this instance definitely-I'll think about that, again.---}--module Algebra.OccasionallyScalar where---- import qualified Algebra.RealRing as RealRing-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Additive as Additive-import qualified Number.Complex as Complex--import Data.Maybe (fromMaybe, )--import Number.Complex((+:))--import NumericPrelude.Base-import NumericPrelude.Numeric----- this is somehow similar to Normalized classes-class C a v where- toScalar :: v -> a- toMaybeScalar :: v -> Maybe a- fromScalar :: a -> v--toScalarDefault :: (C a v) => v -> a-toScalarDefault v =- fromMaybe (error ("The value is not scalar."))- (toMaybeScalar v)--toScalarShow :: (C a v, Show v) => v -> a-toScalarShow v =- fromMaybe (error (show v ++ " is not a scalar value."))- (toMaybeScalar v)---instance C Float Float where- toScalar = id- toMaybeScalar = Just- fromScalar = id--instance C Double Double where- toScalar = id- toMaybeScalar = Just- fromScalar = id---- this instance should be defined in Number.Complex-instance (Show v, ZeroTestable.C v, Additive.C v, C a v) => C a (Complex.T v) where- toScalar = toScalarShow- toMaybeScalar x = if isZero (Complex.imag x)- then toMaybeScalar (Complex.real x)- else Nothing- fromScalar x = fromScalar x +: zero--{- converting values automatically to integers is a bad idea-instance (Integral b, RealRing.C a)- => C b a where- toScalar = toScalarDefault- toMaybeScalar x = mapMaybe round (toMaybeScalar x)--}
− src-ghc-6.12/Algebra/OrderDecision.hs
@@ -1,244 +0,0 @@-{- |-Combination of @compare@ and @if then else@-that can be instantiated for more types than @Ord@-or can be instantiated in a way-that allows more defined results (\"more total\" functions):--* Reader like types for representing a context- like 'Number.ResidueClass.Reader'--* Expressions in an EDSL--* More generally every type based on an applicative functor--* Tuples and Vector types--* Positional and Peano numbers,- a common prefix of two numbers can be emitted- before the comparison is done.- (This could also be done with an overloaded 'if',- what we also do not have.)--}-module Algebra.OrderDecision where--import qualified Algebra.EqualityDecision as Equality-import Algebra.EqualityDecision ((==?), )--import qualified NumericPrelude.Elementwise as Elem-import Control.Applicative (Applicative(pure, (<*>)), )-import Data.Tuple.HT (fst3, snd3, thd3, )-import Data.List (zipWith4, zipWith5, )--import Prelude hiding (compare, min, max, minimum, maximum, )-import qualified Prelude as P----{- |-For atomic types this could be a superclass of 'Ord'.-However for composed types like tuples, lists, functions-we do elementwise comparison-which is incompatible with the complete comparison performed by 'P.compare'.--}-class Equality.C a => C a where- {- |- It holds-- > (compare a b) lt eq gt ==- > case Prelude.compare a b of- > LT -> lt- > EQ -> eq- > GT -> gt-- for atomic types where the right hand side can be defined.-- Minimal complete definition:- 'compare' or '(<=?)'.- -}- compare :: a -> a -> a -> a -> a -> a- compare x y lt eq gt =- (x ==? y) eq ((x <=? y) lt gt)-- {-# INLINE (<=?) #-}- (<=?) :: a -> a -> a -> a -> a- (<=?) x y le gt =- compare x y le le gt-- {-# INLINE (>=?) #-}- (>=?) :: a -> a -> a -> a -> a- (>=?) = flip (<=?)-- (<?) :: a -> a -> a -> a -> a- (<?) x y = flip (x >=? y)-- {-# INLINE (>?) #-}- (>?) :: a -> a -> a -> a -> a- (>?) = flip (<?)--{-- (<?) :: a -> a -> a -> a -> a- (<?) x y lt ge =- compare x y lt ge ge-- (>?) :: a -> a -> a -> a -> a- (>?) x y gt le =- compare x y le le gt-- (<=?) :: a -> a -> a -> a -> a- (<=?) x y le gt =- compare x y le le gt-- (>=?) :: a -> a -> a -> a -> a- (>=?) x y ge lt =- compare x y lt ge ge--}---max :: C a => a -> a -> a-max x y = (x>?y) x y--min :: C a => a -> a -> a-min x y = (x<?y) x y--maximum :: C a => a -> [a] -> a-maximum x xs = foldl max x xs--minimum :: C a => a -> [a] -> a-minimum x xs = foldl min x xs----{-# INLINE compareOrd #-}-compareOrd :: Ord a => a -> a -> a -> a -> a -> a-compareOrd a b lt eq gt =- case P.compare a b of- LT -> lt- EQ -> eq- GT -> gt--instance C Int where- {-# INLINE compare #-}- compare = compareOrd--instance C Integer where- {-# INLINE compare #-}- compare = compareOrd--instance C Float where- {-# INLINE compare #-}- compare = compareOrd--instance C Double where- {-# INLINE compare #-}- compare = compareOrd--instance C Bool where- {-# INLINE compare #-}- compare = compareOrd--instance C Ordering where- {-# INLINE compare #-}- compare = compareOrd----{-# INLINE elementCompare #-}-elementCompare ::- (C x) =>- (v -> x) -> Elem.T (v,v,v,v,v) x-elementCompare f =- Elem.element (\(x,y,lt,eq,gt) ->- compare (f x) (f y) (f lt) (f eq) (f gt))--{-# INLINE (<*>.<=>?) #-}-(<*>.<=>?) ::- (C x) =>- Elem.T (v,v,v,v,v) (x -> a) -> (v -> x) -> Elem.T (v,v,v,v,v) a-(<*>.<=>?) f acc =- f <*> elementCompare acc---{-# INLINE element #-}-element ::- (C x) =>- (x -> x -> x -> x -> x) ->- (v -> x) -> Elem.T (v,v,v,v) x-element cmp f =- Elem.element (\(x,y,true,false) -> cmp (f x) (f y) (f true) (f false))--{-# INLINE (<*>.<=?) #-}-(<*>.<=?) ::- (C x) =>- Elem.T (v,v,v,v) (x -> a) -> (v -> x) -> Elem.T (v,v,v,v) a-(<*>.<=?) f acc =- f <*> element (<=?) acc--{-# INLINE (<*>.>=?) #-}-(<*>.>=?) ::- (C x) =>- Elem.T (v,v,v,v) (x -> a) -> (v -> x) -> Elem.T (v,v,v,v) a-(<*>.>=?) f acc =- f <*> element (>=?) acc--{-# INLINE (<*>.<?) #-}-(<*>.<?) ::- (C x) =>- Elem.T (v,v,v,v) (x -> a) -> (v -> x) -> Elem.T (v,v,v,v) a-(<*>.<?) f acc =- f <*> element (<?) acc--{-# INLINE (<*>.>?) #-}-(<*>.>?) ::- (C x) =>- Elem.T (v,v,v,v) (x -> a) -> (v -> x) -> Elem.T (v,v,v,v) a-(<*>.>?) f acc =- f <*> element (>?) acc---instance (C a, C b) => C (a,b) where- {-# INLINE compare #-}- compare = Elem.run5 $ pure (,) <*>.<=>? fst <*>.<=>? snd- {-# INLINE (<=?) #-}- (<=?) = Elem.run4 $ pure (,) <*>.<=? fst <*>.<=? snd- {-# INLINE (>=?) #-}- (>=?) = Elem.run4 $ pure (,) <*>.>=? fst <*>.>=? snd- {-# INLINE (<?) #-}- (<?) = Elem.run4 $ pure (,) <*>.<? fst <*>.<? snd- {-# INLINE (>?) #-}- (>?) = Elem.run4 $ pure (,) <*>.>? fst <*>.>? snd--instance (C a, C b, C c) => C (a,b,c) where- {-# INLINE compare #-}- compare = Elem.run5 $ pure (,,) <*>.<=>? fst3 <*>.<=>? snd3 <*>.<=>? thd3- {-# INLINE (<=?) #-}- (<=?) = Elem.run4 $ pure (,,) <*>.<=? fst3 <*>.<=? snd3 <*>.<=? thd3- {-# INLINE (>=?) #-}- (>=?) = Elem.run4 $ pure (,,) <*>.>=? fst3 <*>.>=? snd3 <*>.>=? thd3- {-# INLINE (<?) #-}- (<?) = Elem.run4 $ pure (,,) <*>.<? fst3 <*>.<? snd3 <*>.<? thd3- {-# INLINE (>?) #-}- (>?) = Elem.run4 $ pure (,,) <*>.>? fst3 <*>.>? snd3 <*>.>? thd3--instance C a => C [a] where- {-# INLINE compare #-}- compare = zipWith5 compare- {-# INLINE (<=?) #-}- (<=?) = zipWith4 (<=?)- {-# INLINE (>=?) #-}- (>=?) = zipWith4 (>=?)- {-# INLINE (<?) #-}- (<?) = zipWith4 (<?)- {-# INLINE (>?) #-}- (>?) = zipWith4 (>?)--instance (C a) => C (b -> a) where- {-# INLINE compare #-}- compare x y lt eq gt c = compare (x c) (y c) (lt c) (eq c) (gt c)- {-# INLINE (<=?) #-}- (<=?) x y true false c = (x c <=? y c) (true c) (false c)- {-# INLINE (>=?) #-}- (>=?) x y true false c = (x c >=? y c) (true c) (false c)- {-# INLINE (<?) #-}- (<?) x y true false c = (x c <? y c) (true c) (false c)- {-# INLINE (>?) #-}- (>?) x y true false c = (x c >? y c) (true c) (false c)
− src-ghc-6.12/Algebra/PrincipalIdealDomain.hs
@@ -1,384 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.PrincipalIdealDomain (- {- * Class -}- C,- extendedGCD,- gcd,- lcm,- coprime,-- {- * Standard implementations for instances -}- euclid,- extendedEuclid,-- {- * Algorithms -}- extendedGCDMulti,- diophantine,- diophantineMin,- diophantineMulti,- chineseRemainder,- chineseRemainderMulti,-- {- * Properties -}- propMaximalDivisor,- propGCDDiophantine,- propExtendedGCDMulti,- propDiophantine,- propDiophantineMin,- propDiophantineMulti,- propDiophantineMultiMin,- propChineseRemainder,- propDivisibleGCD,- propDivisibleLCM,- propGCDIdentity,- propGCDCommutative,- propGCDAssociative,- propGCDHomogeneous,- propGCD_LCM,- ) where--import qualified Algebra.Units as Units-import qualified Algebra.IntegralDomain as Integral--- import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Algebra.Laws as Laws--import Algebra.Units (stdAssociate, stdUnitInv)-import Algebra.IntegralDomain (mod, divChecked, divMod, divides, divModZero)-import Algebra.Ring (one, (*), scalarProduct)-import Algebra.Additive (zero, (+), (-))-import Algebra.ZeroTestable (isZero)--import Data.Maybe.HT (toMaybe, )--import Control.Monad (foldM, liftM)-import Data.List (mapAccumL, mapAccumR, unfoldr)--import Data.Int (Int, Int8, Int16, Int32, Int64, )--import NumericPrelude.Base-import Prelude (Integer, )-import Test.QuickCheck ((==>), Property)----{- |-A principal ideal domain is a ring in which every ideal-(the set of multiples of some generating set of elements)-is principal:-That is,-every element can be written as the multiple of some generating element.-@gcd a b@ gives a generator for the ideal generated by @a@ and @b@.-The algorithm above works whenever @mod x y@ is smaller-(in a suitable sense) than both @x@ and @y@;-otherwise the algorithm may run forever.--Laws:--> divides x (lcm x y)-> x `gcd` (y `gcd` z) == (x `gcd` y) `gcd` z-> gcd x y * z == gcd (x*z) (y*z)-> gcd x y * lcm x y == x * y--(etc: canonical)--Minimal definition:- * nothing, if the standard Euclidean algorithm work- * if 'extendedGCD' is implemented customly, 'gcd' and 'lcm' make use of it--}-class (Units.C a, ZeroTestable.C a) => C a where- {- |- Compute the greatest common divisor and- solve a respective Diophantine equation.-- > (g,(a,b)) = extendedGCD x y ==>- > g==a*x+b*y && g == gcd x y-- TODO: This method is not appropriate for the PID class,- because there are rings like the one of the multivariate polynomials,- where for all x and y greatest common divisors of x and y exist,- but they cannot be represented as a linear combination of x and y.- TODO: The definition of extendedGCD does not return the canonical associate.- -}- extendedGCD :: a -> a -> (a,(a,a))- extendedGCD = extendedEuclid divMod-- {- |- The Greatest Common Divisor is defined by:-- > gcd x y == gcd y x- > divides z x && divides z y ==> divides z (gcd x y) (specification)- > divides (gcd x y) x- -}- gcd :: a -> a -> a- gcd x y = fst $ extendedGCD x y-- {- |- Least common multiple- -}- lcm :: a -> a -> a- lcm x y =- if isZero x- then x -- avoid computing undefined (gcd 0 0)- else divChecked x (gcd x y) * y -- avoid big temporary results- -- lcm x y = divChecked (x * y) (gcd x y)---{--These do only work if zero and one are really identity elements.--gcdMulti :: (C a) => [a] -> a-gcdMulti = foldl gcd zero--lcmMulti :: (C a) => [a] -> a-lcmMulti = foldl lcm one--}--coprime :: (C a) => a -> a -> Bool-coprime x y =- Units.isUnit (gcd x y)----{--We could implement a helper function,-which exposes the temporary results.-This could be re-used for extendedEuclid.--}-euclid :: (Units.C a, ZeroTestable.C a) =>- (a -> a -> a) -> a -> a -> a-euclid genMod =- let aux x y =- if isZero y- then stdAssociate x- else aux y (x `genMod` y)- in aux---- could be implemented in a tail-recursive manner-{--Unfortunately, with the normalization to the stdAssociate,-@gcd 0@ is no longer the identity function,-since @gcd 0 (-2) = 2@.--}-extendedEuclid :: (Units.C a, ZeroTestable.C a) =>- (a -> a -> (a,a)) -> a -> a -> (a,(a,a))-extendedEuclid genDivMod =- let aux x y =- if isZero y- then (stdAssociate x, (stdUnitInv x, zero))- else- let (d,m) = x `genDivMod` y -- x == d*y + m- (g,(a,b)) = aux y m -- g == a*y + b*m- in (g,(b,a-b*d)) -- g == a*y + b*(x-d*y)- in aux---{- |-Compute the greatest common divisor for multiple numbers-by repeated application of the two-operand-gcd.--}-extendedGCDMulti :: C a => [a] -> (a,[a])-extendedGCDMulti xs =- let (g,cs) = mapAccumL extendedGCD zero xs- in (g, snd $ mapAccumR (\acc (c0,c1) -> (acc*c0,acc*c1)) one cs)--{- |-A variant with small coefficients.--}---{- |-@Just (a,b) = diophantine z x y@-means-@a*x+b*y = z@.-It is required that @gcd(y,z) `divides` x@.--}-diophantine :: C a => a -> a -> a -> Maybe (a,a)-diophantine z x y =- fmap snd $ diophantineAux z x y--{- |-Like 'diophantine', but @a@ is minimal-with respect to the measure function of the Euclidean algorithm.--}-diophantineMin :: C a => a -> a -> a -> Maybe (a,a)-diophantineMin z x y =- fmap (uncurry (minimizeFirstOperand (x,y))) $- diophantineAux z x y--minimizeFirstOperand :: C a => (a,a) -> a -> (a,a) -> (a,a)-minimizeFirstOperand (x,y) g (a,b) =- if isZero g- then (zero,zero)- else- let xl = divChecked x g- yl = divChecked y g- (d,aRed) = divModZero a yl- in (aRed, b + d*xl)--diophantineAux :: C a => a -> a -> a -> Maybe (a, (a,a))-diophantineAux z x y =- let (g,(a,b)) = extendedGCD x y- (q,r) = divModZero z g- in toMaybe (isZero r) (g, (q*a, q*b))---{- |--}-diophantineMulti :: C a => a -> [a] -> Maybe [a]-diophantineMulti z xs =- let (g,as) = extendedGCDMulti xs- (q,r) = divModZero z g- in toMaybe (isZero r) (map (q*) as)--{- |-Not efficient because it requires duplicate computations of GCDs.-However GCDs of neighbouring list elements were not computed before.-It is also quite arbitrary,-because only neighbouring elements are used for balancing.-There are certainly more sophisticated solutions.--}-diophantineMultiMin :: C a => a -> [a] -> Maybe [a]-diophantineMultiMin z xs =- do as <- diophantineMulti z xs- return $ unfoldr- (\as' -> case as' of- ((x0,a0):(x1,a1):aRest) ->- let (b0,b1) = minimizeFirstOperand (x0,x1) (gcd x0 x1) (a0,a1)- in Just (b0, (x1,b1):aRest)- (_,a):[] -> Just (a,[])- [] -> Nothing) $- zip xs as--{--diophantineMultiMin :: C a => a -> [a] -> Maybe [a]-diophantineMultiMin z xs =- do as <- diophantineMulti z xs- return $- case as of- (c:cs'@(_:_)) ->- let (cs,cLast) = splitLast cs'- (d,as') = mapAccumL (\a b -> swap $ minimizeFirstOperand (gcd a b) (a,b)) c cs- (d',cLast') = minimizeFirstOperand (gcd d cLast) d cLast- in as' ++ [d',cLast']- _ -> as--}--{- |-Not efficient enough, because GCD\/LCM is computed twice.--}-chineseRemainder :: C a => (a,a) -> (a,a) -> Maybe (a,a)-chineseRemainder (m0,a0) (m1,a1) =- liftM (\(k,_) -> let m = lcm m0 m1 in (m, mod (a0-k*m0) m)) $- diophantineMin (a0-a1) m0 m1-{--a0-k*m0 == a1+l*m1-a0-a1 == k*m0+l*m1--}--{- |-For @Just (b,n) = chineseRemainder [(a0,m0), (a1,m1), ..., (an,mn)]@-and all @x@ with @x = b mod n@ the congruences-@x=a0 mod m0, x=a1 mod m1, ..., x=an mod mn@-are fulfilled.--}-chineseRemainderMulti :: C a => [(a,a)] -> Maybe (a,a)-chineseRemainderMulti congs =- case congs of- [] -> Nothing- (c:cs) -> foldM chineseRemainder c cs----{- * Instances for atomic types -}---{--There is the binary GCD algorithm,-that is specialised for integers in binary representation.-It does not need a division.-However, since we have an optimized division,-the standard implementation is probably faster.--TODO: Can Integer make use of the GMP GCD routine?--}--instance C Integer where- -- possibly more efficient than the default method- gcd = euclid mod--instance C Int where- gcd = euclid mod--instance C Int8 where- gcd = euclid mod--instance C Int16 where- gcd = euclid mod--instance C Int32 where- gcd = euclid mod--instance C Int64 where- gcd = euclid mod---propGCDIdentity :: (Eq a, C a) => a -> Bool-propGCDAssociative :: (Eq a, C a) => a -> a -> a -> Bool-propGCDCommutative :: (Eq a, C a) => a -> a -> Bool-propGCDDiophantine :: (Eq a, C a) => a -> a -> Bool-propExtendedGCDMulti :: (Eq a, C a) => [a] -> Bool-propDiophantineGen :: (Eq a, C a) =>- (a -> a -> a -> Maybe (a,a)) -> a -> a -> a -> a -> Bool-propDiophantine :: (Eq a, C a) => a -> a -> a -> a -> Bool-propDiophantineMin :: (Eq a, C a) => a -> a -> a -> a -> Bool-propDiophantineMultiGen :: (Eq a, C a) =>- (a -> [a] -> Maybe [a]) -> [(a,a)] -> Bool-propDiophantineMulti :: (Eq a, C a) => [(a,a)] -> Bool-propDiophantineMultiMin :: (Eq a, C a) => [(a,a)] -> Bool-propDivisibleGCD :: C a => a -> a -> Bool-propDivisibleLCM :: C a => a -> a -> Bool-propGCD_LCM :: (Eq a, C a) => a -> a -> Bool-propGCDHomogeneous :: (Eq a, C a) => a -> a -> a -> Bool-propMaximalDivisor :: C a => a -> a -> a -> Property-propChineseRemainder :: (Eq a, C a) => a -> a -> [a] -> Property--propMaximalDivisor x y z =- divides z x && divides z y ==> divides z (gcd x y)-propGCDDiophantine x y =- let (g,(a,b)) = extendedGCD x y- in g == gcd x y && g == a*x+b*y-propExtendedGCDMulti xs =- let (g,as) = extendedGCDMulti xs- in g == scalarProduct as xs &&- (isZero g || all (divides g) xs)-propDiophantineGen dio a b x y =- let z = a*x+b*y- in maybe False (\(a',b') -> z == a'*x+b'*y) (dio z x y)-propDiophantine = propDiophantineGen diophantine-propDiophantineMin = propDiophantineGen diophantineMin-propDiophantineMultiGen dio axs =- let (as,xs) = unzip axs- z = scalarProduct as xs- in maybe False (\as' -> z == scalarProduct as' xs) (dio z xs)-propDiophantineMulti = propDiophantineMultiGen diophantineMulti-propDiophantineMultiMin = propDiophantineMultiGen diophantineMultiMin-propDivisibleGCD x y = divides (gcd x y) x-propDivisibleLCM x y = divides x (lcm x y)--propGCDIdentity = Laws.identity gcd zero . stdAssociate-propGCDCommutative = Laws.commutative gcd-propGCDAssociative = Laws.associative gcd-propGCDHomogeneous = Laws.leftDistributive (*) gcd . stdAssociate-propGCD_LCM x y = gcd x y * lcm x y == x * y-propChineseRemainder k x ms =- not (null ms) && all (not . isZero) ms ==>- -- cf. Useful.functionToGraph- let congs = zip ms (map (mod x) ms)- in maybe False- (\(mGlob,y) ->- let yk = y+mGlob*k- in all (\(m,a) -> Integral.sameResidueClass m a yk) congs)- (chineseRemainderMulti congs)
− src-ghc-6.12/Algebra/RealField.hs
@@ -1,26 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.RealField (- C,- ) where--import qualified Algebra.Field as Field-import qualified Algebra.RealRing as RealRing-import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.ToInteger as ToInteger--import qualified Number.Ratio as Ratio---- import NumericPrelude.Base--- import qualified Prelude as P-import Prelude (Float, Double, )--{- |-This is a convenient class for common types-that both form a field and have a notion of ordering by magnitude.--}-class (RealRing.C a, Field.C a) => C a where--instance C Float where-instance C Double where--instance (ToInteger.C a, PID.C a) => C (Ratio.T a) where
− src-ghc-6.12/Algebra/RealIntegral.hs
@@ -1,151 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Generally before using 'quot' and 'rem', think twice.-In most cases 'divMod' and friends are the right choice,-because they fulfill more of the wanted properties.-On some systems 'quot' and 'rem' are more efficient-and if you only use positive numbers, you may be happy with them.-But we cannot warrant the efficiency advantage.--See also:-Daan Leijen: Division and Modulus for Computer Scientists-<http://www.cs.uu.nl/%7Edaan/download/papers/divmodnote-letter.pdf>,-<http://www.haskell.org/pipermail/haskell-cafe/2007-August/030394.html>--}-module Algebra.RealIntegral (- C(quot, rem, quotRem),- ) where--import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Absolute as Absolute--- import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive--import Algebra.Absolute (signum, )-import Algebra.IntegralDomain (divMod, )-import Algebra.Ring (one, ) -- fromInteger-import Algebra.Additive (zero, (+), (-), )--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import NumericPrelude.Base-import qualified Prelude as P-import Prelude (Integer, )---infixl 7 `quot`, `rem`--{- |-Remember that 'divMod' does not specify exactly what @a `quot` b@ should be,-mainly because there is no sensible way to define it in general.-For an instance of @Algebra.RealIntegral.C a@,-it is expected that @a `quot` b@ will round towards 0 and-@a `Prelude.div` b@ will round towards minus infinity.--Minimal definition: nothing required--}--class (Absolute.C a, Ord a, Integral.C a) => C a where- quot, rem :: a -> a -> a- quotRem :: a -> a -> (a,a)-- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot a b = fst (quotRem a b)- rem a b = snd (quotRem a b)- quotRem a b = let (d,m) = divMod a b in- if (signum d < zero) then- (d+one,m-b) else (d,m)---instance C Integer where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Int where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Int8 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Int16 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Int32 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Int64 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem---instance C Word where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Word8 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Word16 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Word32 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem--instance C Word64 where- {-# INLINE quot #-}- {-# INLINE rem #-}- {-# INLINE quotRem #-}- quot = P.quot- rem = P.rem- quotRem = P.quotRem-
− src-ghc-6.12/Algebra/RealRing.hs
@@ -1,584 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.RealRing where--import qualified Algebra.Field as Field-import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.ToRational as ToRational-import qualified Algebra.ToInteger as ToInteger--import qualified Algebra.OrderDecision as OrdDec-import Algebra.OrderDecision ((<?), (>=?), )--import Algebra.Field (fromRational, )-import Algebra.RealIntegral (quotRem, )-import Algebra.IntegralDomain (divMod, even, )-import Algebra.Ring ((*), fromInteger, one, )-import Algebra.Additive ((+), (-), negate, zero, )-import Algebra.ZeroTestable (isZero, )-import Algebra.ToInteger (fromIntegral, )--import qualified Number.Ratio as Ratio-import Number.Ratio (T((:%)), Rational)--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import qualified GHC.Float as GHC-import Data.List as List-import Data.Tuple.HT (mapFst, mapPair, )-import Prelude (Integer, Float, Double, )-import qualified Prelude as P-import NumericPrelude.Base---{- |-Minimal complete definition:- 'splitFraction' or 'floor'--There are probably more laws, but some laws are--> splitFraction x === (fromInteger (floor x), fraction x)-> fromInteger (floor x) + fraction x === x-> floor x <= x x < floor x + 1-> ceiling x - 1 < x x <= ceiling x-> 0 <= fraction x fraction x < 1--> - ceiling x === floor (-x)-> truncate x === signum x * floor (abs x)-> ceiling (toRational x) === ceiling x :: Integer-> truncate (toRational x) === truncate x :: Integer-> floor (toRational x) === floor x :: Integer--The new function 'fraction' doesn't return the integer part of the number.-This also removes a type ambiguity if the integer part is not needed.--Many people will associate rounding with fractional numbers,-and thus they are surprised about the superclass being @Ring@ not @Field@.-The reason is that all of these methods can be defined-exclusively with functions from @Ord@ and @Ring@.-The implementations of 'genericFloor' and other functions demonstrate that.-They implement power-of-two-algorithms-like the one for finding the number of digits of an 'Integer'-in FixedPoint-fractions module.-They are even reasonably efficient.--I am still uncertain whether it was a good idea-to add instances for @Integer@ and friends,-since calling @floor@ or @fraction@ on an integer may well indicate a bug.-The rounding functions are just the identity function-and 'fraction' is constant zero.-However, I decided to associate our class with @Ring@ rather than @Field@,-after I found myself using repeated subtraction and testing-rather than just calling @fraction@,-just in order to get the constraint @(Ring a, Ord a)@-that was more general than @(RealField a)@.--For the results of the rounding functions-we have chosen the constraint @Ring@ instead of @ToInteger@,-since this is more flexible to use,-but it still signals to the user that only integral numbers can be returned.-This is so, because the plain @Ring@ class only provides-@zero@, @one@ and operations that allow to reach all natural numbers but not more.---As an aside, let me note the similarities-between @splitFraction x@ and @divMod x 1@ (if that were defined).-In particular, it might make sense to unify the rounding modes somehow.--The new methods 'fraction' and 'splitFraction'-differ from 'Prelude.properFraction' semantics.-They always round to 'floor'.-This means that the fraction is always non-negative and-is always smaller than 1.-This is more useful in practice and-can be generalised to more than real numbers.-Since every 'Number.Ratio.T' denominator type-supports 'Algebra.IntegralDomain.divMod',-every 'Number.Ratio.T' can provide 'fraction' and 'splitFraction',-e.g. fractions of polynomials.-However the @Ring@ constraint for the ''integral'' part of 'splitFraction'-is too weak in order to generate polynomials.-After all, I am uncertain whether this would be useful or not.--Can there be a separate class for-'fraction', 'splitFraction', 'floor' and 'ceiling'-since they do not need reals and their ordering?--We might also add a round method,-that rounds 0.5 always up or always down.-This is much more efficient in inner loops-and is acceptable or even preferable for many applications.--}--class (Absolute.C a, Ord a) => C a where- splitFraction :: (Ring.C b) => a -> (b,a)- fraction :: a -> a- ceiling, floor :: (Ring.C b) => a -> b- truncate :: (Ring.C b) => a -> b- round :: (ToInteger.C b) => a -> b--- splitFraction x = (floor x, fraction x)-- fraction x = x - fromInteger (floor x)-- floor x = fromInteger (fst (splitFraction x))-- ceiling x = - floor (-x)---- truncate x = signum x * floor (abs x)- truncate x =- if x>=0- then floor x- else ceiling x-- {-- The ToInteger constraint can be lifted to Ring- if use Integer temporarily.- I expect this would not be efficient in many cases.- -}- round x =- let (n,r) = splitFraction x- in case compare (2*r) one of- LT -> n- EQ -> if even n then n else n+1- GT -> n+1---{- |-This function rounds to the closest integer.-For @fraction x == 0.5@ it rounds away from zero.-This function is not the result of an ingenious mathematical insight,-but is simply a kind of rounding that is the fastest-on IEEE floating point architectures.--}-roundSimple :: (C a, Ring.C b) => a -> b-roundSimple x =- let (n,r) = splitFraction x- in case compare (2*r) one of- LT -> n- EQ -> if x<0 then n else n+1- GT -> n+1---instance (ToInteger.C a, PID.C a) => C (Ratio.T a) where- splitFraction (x:%y) = (fromIntegral q, r:%y)- where (q,r) = divMod x y--instance C Int where- {-# INLINE splitFraction #-}- {-# INLINE fraction #-}- {-# INLINE floor #-}- {-# INLINE ceiling #-}- {-# INLINE round #-}- {-# INLINE truncate #-}- splitFraction x = (fromIntegral x, zero)- fraction _ = zero- floor x = fromIntegral x- ceiling x = fromIntegral x- round x = fromIntegral x- truncate x = fromIntegral x--instance C Integer where- {-# INLINE splitFraction #-}- {-# INLINE fraction #-}- {-# INLINE floor #-}- {-# INLINE ceiling #-}- {-# INLINE round #-}- {-# INLINE truncate #-}- splitFraction x = (fromInteger x, zero)- fraction _ = zero- floor x = fromInteger x- ceiling x = fromInteger x- round x = fromInteger x- truncate x = fromInteger x--instance C Float where- {-# INLINE splitFraction #-}- {-# INLINE fraction #-}- {-# INLINE floor #-}- {-# INLINE ceiling #-}- {-# INLINE round #-}- {-# INLINE truncate #-}- splitFraction = fastSplitFraction GHC.float2Int GHC.int2Float- fraction = fastFraction (GHC.int2Float . GHC.float2Int)- floor = fromInteger . P.floor- ceiling = fromInteger . P.ceiling- round = fromInteger . P.round- truncate = fromInteger . P.truncate--instance C Double where- {-# INLINE splitFraction #-}- {-# INLINE fraction #-}- {-# INLINE floor #-}- {-# INLINE ceiling #-}- {-# INLINE round #-}- {-# INLINE truncate #-}- splitFraction = fastSplitFraction GHC.double2Int GHC.int2Double- fraction = fastFraction (GHC.int2Double . GHC.double2Int)- floor = fromInteger . P.floor- ceiling = fromInteger . P.ceiling- round = fromInteger . P.round- truncate = fromInteger . P.truncate---{-# INLINE fastSplitFraction #-}-fastSplitFraction :: (P.RealFrac a, Absolute.C a, Ring.C b) =>- (a -> Int) -> (Int -> a) -> a -> (b,a)-fastSplitFraction trunc toFloat x =- fixSplitFraction $- if toFloat minBound <= x && x <= toFloat maxBound- then case trunc x of n -> (fromIntegral n, x - toFloat n)- else case P.properFraction x of (n,f) -> (fromInteger n, f)--{-# INLINE fixSplitFraction #-}-fixSplitFraction :: (Ring.C a, Ring.C b, Ord a) => (b,a) -> (b,a)-fixSplitFraction (n,f) =- -- if x>=0 || f==0- if f>=0- then (n, f)- else (n-1, f+1)--{-# INLINE fastFraction #-}-fastFraction :: (P.RealFrac a, Absolute.C a) => (a -> a) -> a -> a-fastFraction trunc x =- fixFraction $- if fromIntegral (minBound :: Int) <= x && x <= fromIntegral (maxBound :: Int)- then x - trunc x- else preludeFraction x--{-# INLINE preludeFraction #-}-preludeFraction :: (P.RealFrac a, Ring.C a) => a -> a-preludeFraction x =- let second :: (Integer, a) -> a- second = snd- in second (P.properFraction x)--{-# INLINE fixFraction #-}-fixFraction :: (Ring.C a, Ord a) => a -> a-fixFraction y =- if y>=0 then y else y+1--{--mapM_ (\n -> let x = fromInteger n / 10 in print (x, floorInt GHC.double2Int GHC.int2Double x)) [-20,-19..20]--}--{-# INLINE splitFractionInt #-}-splitFractionInt :: (Ring.C a, Ord a) => (a -> Int) -> (Int -> a) -> a -> (Int, a)-splitFractionInt trunc toFloat x =- let n = trunc x- in fixSplitFraction (n, x - toFloat n)--{-# INLINE floorInt #-}-floorInt :: (Ring.C a, Ord a) => (a -> Int) -> (Int -> a) -> a -> Int-floorInt trunc toFloat x =- let n = trunc x- in if x >= toFloat n- then n- else pred n--{-# INLINE ceilingInt #-}-ceilingInt :: (Ring.C a, Ord a) => (a -> Int) -> (Int -> a) -> a -> Int-ceilingInt trunc toFloat x =- let n = trunc x- in if x <= toFloat n- then n- else succ n--{-# INLINE roundInt #-}-roundInt :: (Field.C a, Ord a) => (a -> Int) -> (Int -> a) -> a -> Int-roundInt trunc toFloat x =- let half = 0.5 -- P.fromRational- halfUp = x+half- n = floorInt trunc toFloat halfUp- in if toFloat n == halfUp && P.odd n- then pred n- else n--{-# INLINE roundSimpleInt #-}-roundSimpleInt ::- (Field.C a, Absolute.C a, Ord a) =>- (a -> Int) -> (Int -> a) -> a -> Int-roundSimpleInt trunc _toFloat x =- trunc (x + Absolute.signum x * 0.5)----{- RULES maybe used, when Prelude implementations become more efficient- "NP.round :: Float -> Int" round = P.round :: Float -> Int;- "NP.truncate :: Float -> Int" truncate = P.truncate :: Float -> Int;- "NP.floor :: Float -> Int" floor = P.floor :: Float -> Int;- "NP.ceiling :: Float -> Int" ceiling = P.ceiling :: Float -> Int;- "NP.round :: Double -> Int" round = P.round :: Double -> Int;- "NP.truncate :: Double -> Int" truncate = P.truncate :: Double -> Int;- "NP.floor :: Double -> Int" floor = P.floor :: Double -> Int;- "NP.ceiling :: Double -> Int" ceiling = P.ceiling :: Double -> Int;- -}---- these rules will also be needed for Int16 et.al.-{-# RULES- "NP.round :: Float -> Int" round = roundInt GHC.float2Int GHC.int2Float;- "NP.roundSimple :: Float -> Int" round = roundSimpleInt GHC.float2Int GHC.int2Float;- "NP.truncate :: Float -> Int" truncate = GHC.float2Int ;- "NP.floor :: Float -> Int" floor = floorInt GHC.float2Int GHC.int2Float;- "NP.ceiling :: Float -> Int" ceiling = ceilingInt GHC.float2Int GHC.int2Float;- "NP.round :: Double -> Int" round = roundInt GHC.double2Int GHC.int2Double;- "NP.roundSimple :: Double -> Int" round = roundSimpleInt GHC.double2Int GHC.int2Double;- "NP.truncate :: Double -> Int" truncate = GHC.double2Int ;- "NP.floor :: Double -> Int" floor = floorInt GHC.double2Int GHC.int2Double;- "NP.ceiling :: Double -> Int" ceiling = ceilingInt GHC.double2Int GHC.int2Double;-- "NP.splitFraction :: Float -> (Int, Float)" splitFraction = splitFractionInt GHC.float2Int GHC.int2Float;- "NP.splitFraction :: Double -> (Int, Double)" splitFraction = splitFractionInt GHC.double2Int GHC.int2Double;- #-}---- generated by GenerateRules.hs-{-# RULES- "NP.round :: a -> Int8" round = (P.fromIntegral :: Int -> Int8) . round;- "NP.roundSimple :: a -> Int8" roundSimple = (P.fromIntegral :: Int -> Int8) . roundSimple;- "NP.truncate :: a -> Int8" truncate = (P.fromIntegral :: Int -> Int8) . truncate;- "NP.floor :: a -> Int8" floor = (P.fromIntegral :: Int -> Int8) . floor;- "NP.ceiling :: a -> Int8" ceiling = (P.fromIntegral :: Int -> Int8) . ceiling;- "NP.round :: a -> Int16" round = (P.fromIntegral :: Int -> Int16) . round;- "NP.roundSimple :: a -> Int16" roundSimple = (P.fromIntegral :: Int -> Int16) . roundSimple;- "NP.truncate :: a -> Int16" truncate = (P.fromIntegral :: Int -> Int16) . truncate;- "NP.floor :: a -> Int16" floor = (P.fromIntegral :: Int -> Int16) . floor;- "NP.ceiling :: a -> Int16" ceiling = (P.fromIntegral :: Int -> Int16) . ceiling;- "NP.round :: a -> Int32" round = (P.fromIntegral :: Int -> Int32) . round;- "NP.roundSimple :: a -> Int32" roundSimple = (P.fromIntegral :: Int -> Int32) . roundSimple;- "NP.truncate :: a -> Int32" truncate = (P.fromIntegral :: Int -> Int32) . truncate;- "NP.floor :: a -> Int32" floor = (P.fromIntegral :: Int -> Int32) . floor;- "NP.ceiling :: a -> Int32" ceiling = (P.fromIntegral :: Int -> Int32) . ceiling;- "NP.round :: a -> Int64" round = (P.fromIntegral :: Int -> Int64) . round;- "NP.roundSimple :: a -> Int64" roundSimple = (P.fromIntegral :: Int -> Int64) . roundSimple;- "NP.truncate :: a -> Int64" truncate = (P.fromIntegral :: Int -> Int64) . truncate;- "NP.floor :: a -> Int64" floor = (P.fromIntegral :: Int -> Int64) . floor;- "NP.ceiling :: a -> Int64" ceiling = (P.fromIntegral :: Int -> Int64) . ceiling;- "NP.round :: a -> Word" round = (P.fromIntegral :: Int -> Word) . round;- "NP.roundSimple :: a -> Word" roundSimple = (P.fromIntegral :: Int -> Word) . roundSimple;- "NP.truncate :: a -> Word" truncate = (P.fromIntegral :: Int -> Word) . truncate;- "NP.floor :: a -> Word" floor = (P.fromIntegral :: Int -> Word) . floor;- "NP.ceiling :: a -> Word" ceiling = (P.fromIntegral :: Int -> Word) . ceiling;- "NP.round :: a -> Word8" round = (P.fromIntegral :: Int -> Word8) . round;- "NP.roundSimple :: a -> Word8" roundSimple = (P.fromIntegral :: Int -> Word8) . roundSimple;- "NP.truncate :: a -> Word8" truncate = (P.fromIntegral :: Int -> Word8) . truncate;- "NP.floor :: a -> Word8" floor = (P.fromIntegral :: Int -> Word8) . floor;- "NP.ceiling :: a -> Word8" ceiling = (P.fromIntegral :: Int -> Word8) . ceiling;- "NP.round :: a -> Word16" round = (P.fromIntegral :: Int -> Word16) . round;- "NP.roundSimple :: a -> Word16" roundSimple = (P.fromIntegral :: Int -> Word16) . roundSimple;- "NP.truncate :: a -> Word16" truncate = (P.fromIntegral :: Int -> Word16) . truncate;- "NP.floor :: a -> Word16" floor = (P.fromIntegral :: Int -> Word16) . floor;- "NP.ceiling :: a -> Word16" ceiling = (P.fromIntegral :: Int -> Word16) . ceiling;- "NP.round :: a -> Word32" round = (P.fromIntegral :: Int -> Word32) . round;- "NP.roundSimple :: a -> Word32" roundSimple = (P.fromIntegral :: Int -> Word32) . roundSimple;- "NP.truncate :: a -> Word32" truncate = (P.fromIntegral :: Int -> Word32) . truncate;- "NP.floor :: a -> Word32" floor = (P.fromIntegral :: Int -> Word32) . floor;- "NP.ceiling :: a -> Word32" ceiling = (P.fromIntegral :: Int -> Word32) . ceiling;- "NP.round :: a -> Word64" round = (P.fromIntegral :: Int -> Word64) . round;- "NP.roundSimple :: a -> Word64" roundSimple = (P.fromIntegral :: Int -> Word64) . roundSimple;- "NP.truncate :: a -> Word64" truncate = (P.fromIntegral :: Int -> Word64) . truncate;- "NP.floor :: a -> Word64" floor = (P.fromIntegral :: Int -> Word64) . floor;- "NP.ceiling :: a -> Word64" ceiling = (P.fromIntegral :: Int -> Word64) . ceiling;-- "NP.splitFraction :: a -> (Int8,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Int8) . splitFraction;- "NP.splitFraction :: a -> (Int16,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Int16) . splitFraction;- "NP.splitFraction :: a -> (Int32,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Int32) . splitFraction;- "NP.splitFraction :: a -> (Int64,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Int64) . splitFraction;- "NP.splitFraction :: a -> (Word,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Word) . splitFraction;- "NP.splitFraction :: a -> (Word8,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Word8) . splitFraction;- "NP.splitFraction :: a -> (Word16,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Word16) . splitFraction;- "NP.splitFraction :: a -> (Word32,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Word32) . splitFraction;- "NP.splitFraction :: a -> (Word64,a)" splitFraction = mapFst (P.fromIntegral :: Int -> Word64) . splitFraction;- #-}---{- | TODO: Should be moved to a continued fraction module. -}--approxRational :: (ToRational.C a, C a) => a -> a -> Rational-approxRational rat eps = simplest (rat-eps) (rat+eps)- where simplest x y | y < x = simplest y x- | x == y = xr- | x > 0 = simplest' n d n' d'- | y < 0 = - simplest' (-n') d' (-n) d- | otherwise = 0 :% 1- where xr@(n:%d) = ToRational.toRational x- (n':%d') = ToRational.toRational y-- simplest' n d n' d' -- assumes 0 < n%d < n'%d'- | isZero r = q :% 1- | q /= q' = (q+1) :% 1- | otherwise = (q*n''+d'') :% n''- where (q,r) = quotRem n d- (q',r') = quotRem n' d'- (n'':%d'') = simplest' d' r' d r----- * generic implementation of round functions--powersOfTwo :: (Ring.C a) => [a]-powersOfTwo = iterate (2*) one--pairsOfPowersOfTwo :: (Ring.C a, Ring.C b) => [(a,b)]-pairsOfPowersOfTwo =- zip powersOfTwo powersOfTwo--{- |-The generic rounding functions need a number of operations-proportional to the number of binary digits of the integer portion.-If operations like multiplication with two and comparison-need time proportional to the number of binary digits,-then the overall rounding requires quadratic time.--}-genericFloor :: (Ord a, Ring.C a, Ring.C b) => a -> b-genericFloor a =- if a>=zero- then genericPosFloor a- else negate $ genericPosCeiling $ negate a--genericCeiling :: (Ord a, Ring.C a, Ring.C b) => a -> b-genericCeiling a =- if a>=zero- then genericPosCeiling a- else negate $ genericPosFloor $ negate a--genericTruncate :: (Ord a, Ring.C a, Ring.C b) => a -> b-genericTruncate a =- if a>=zero- then genericPosFloor a- else negate $ genericPosFloor $ negate a--genericRound :: (Ord a, Ring.C a, Ring.C b) => a -> b-genericRound a =- if a>=zero- then genericPosRound a- else negate $ genericPosRound $ negate a--genericFraction :: (Ord a, Ring.C a) => a -> a-genericFraction a =- if a>=zero- then genericPosFraction a- else fixFraction $ negate $ genericPosFraction $ negate a--genericSplitFraction :: (Ord a, Ring.C a, Ring.C b) => a -> (b,a)-genericSplitFraction a =- if a>=zero- then genericPosSplitFraction a- else fixSplitFraction $ mapPair (negate, negate) $- genericPosSplitFraction $ negate a---genericPosFloor :: (Ord a, Ring.C a, Ring.C b) => a -> b-genericPosFloor a =- snd $- foldr- (\(pa,pb) acc@(accA,accB) ->- let newA = accA+pa- in if newA>a then acc else (newA,accB+pb))- (zero,zero) $- takeWhile ((a>=) . fst) $- pairsOfPowersOfTwo--genericPosCeiling :: (Ord a, Ring.C a, Ring.C b) => a -> b-genericPosCeiling a =- snd $- (\(ps,u:_) ->- foldr- (\(pa,pb) acc@(accA,accB) ->- let newA = accA-pa- in if newA>=a then (newA,accB-pb) else acc)- u ps) $- span ((a>) . fst) $- (zero,zero) : pairsOfPowersOfTwo--{--genericPosFloorDigits :: (Ord a, Ring.C a, Ring.C b) => a -> ((a,b), [Bool])-genericPosFloorDigits a =- List.mapAccumR- (\acc@(accA,accB) (pa,pb) ->- let newA = accA+pa- b = newA<=a- in (if b then (newA,accB+pb) else acc, b))- (zero,zero) $- takeWhile ((a>=) . fst) $- pairsOfPowersOfTwo--}--genericHalfPosFloorDigits :: (Ord a, Ring.C a, Ring.C b) => a -> ((a,b), [Bool])-genericHalfPosFloorDigits a =- List.mapAccumR- (\acc@(accA,accB) (pa,pb) ->- let newA = accA+pa- b = newA<=a- in (if b then (newA,accB+pb) else acc, b))- (zero,zero) $- takeWhile ((a>=) . fst) $- zip powersOfTwo (zero:powersOfTwo)--genericPosRound :: (Ord a, Ring.C a, Ring.C b) => a -> b-genericPosRound a =- let a2 = 2*a- ((ai,bi), ds) = genericHalfPosFloorDigits a2- in if ai==a2- then- case ds of- True : True : _ -> bi+one- _ -> bi- else- case ds of- True : _ -> bi+one- _ -> bi--genericPosFraction :: (Ord a, Ring.C a) => a -> a-genericPosFraction a =- foldr- (\p acc ->- if p>acc then acc else acc-p)- a $- takeWhile (a>=) $- powersOfTwo--genericPosSplitFraction :: (Ord a, Ring.C a, Ring.C b) => a -> (b,a)-genericPosSplitFraction a =- foldr- (\(pb,pa) acc@(accB,accA) ->- if pa>accA then acc else (accB+pb,accA-pa))- (zero,a) $- takeWhile ((a>=) . snd) $- pairsOfPowersOfTwo---{- |-Needs linear time with respect to the number of digits.--This and other functions using OrderDecision-like @floor@ where argument and result are the same-may be moved to a new module.--}-decisionPosFraction :: (OrdDec.C a, Ring.C a) => a -> a-decisionPosFraction a0 =- (\ps ->- foldr- (\p cont a ->- (a<?one) a $ cont $- (a>=?p) (a-p) a)- (error "decisionPosFraction: end of list should never be reached")- ps a0) $- concatMap (reverse . flip take powersOfTwo) powersOfTwo--{--Works but needs quadratic time with respect to the number of digits.-I feel that there must be something more efficient.--}-decisionPosFractionSqrTime :: (OrdDec.C a, Ring.C a) => a -> a-decisionPosFractionSqrTime a0 =- (\ps ->- foldr- (\p cont a ->- (a<?one) a $ cont $- (a>=?p) (a-p) a)- (error "decisionPosFraction: end of list should never be reached")- ps a0) $- concatMap reverse $- inits powersOfTwo
− src-ghc-6.12/Algebra/RealTranscendental.hs
@@ -1,37 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.RealTranscendental where--import qualified Algebra.Transcendental as Trans-import qualified Algebra.RealField as RealField--import Algebra.Transcendental (atan, pi)-import Algebra.Field ((/))-import Algebra.Ring (fromInteger)-import Algebra.Additive ((+), negate)--import Data.Bool.HT (select, )--import qualified Prelude as P-import NumericPrelude.Base----{-|-This class collects all functions for _scalar_ floating point numbers.-E.g. computing 'atan2' for complex floating numbers makes certainly no sense.--}-class (RealField.C a, Trans.C a) => C a where- atan2 :: a -> a -> a-- atan2 y x = select 0 -- must be after the other double zero tests- [(x>0, atan (y/x)),- (x==0 && y>0, pi/2),- (x<0 && y>0, pi + atan (y/x)),- (x<=0 && y<0, -atan2 (-y) x),- (y==0 && x<0, pi)] -- must be after the previous test on zero y--instance C P.Float where- atan2 = P.atan2--instance C P.Double where- atan2 = P.atan2
− src-ghc-6.12/Algebra/RightModule.hs
@@ -1,17 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Algebra.RightModule where--import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive---- import NumericPrelude.Numeric--- import qualified Prelude----- Is this right?-infixl 7 <*--class (Ring.C a, Additive.C b) => C a b where- (<*) :: b -> a -> b
− src-ghc-6.12/Algebra/Ring.hs
@@ -1,257 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Ring (- {- * Class -}- C,-- (*),- one,- fromInteger,- (^), sqr,-- {- * Complex functions -}- product, product1, scalarProduct,-- {- * Properties -}- propAssociative,- propLeftDistributive,- propRightDistributive,- propLeftIdentity,- propRightIdentity,- propPowerCascade,- propPowerProduct,- propPowerDistributive,- propCommutative,- ) where--import qualified Algebra.Additive as Additive-import qualified Algebra.Laws as Laws--import Algebra.Additive(zero, (+), negate, sum)--import Data.Function.HT (powerAssociative, )-import NumericPrelude.List (zipWithChecked, )--import Test.QuickCheck ((==>), Property)--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import NumericPrelude.Base-import Prelude (Integer, Float, Double, )-import qualified Data.Ratio as Ratio98-import qualified Prelude as P--- import Test.QuickCheck---infixl 7 *-infixr 8 ^---{- |-Ring encapsulates the mathematical structure-of a (not necessarily commutative) ring, with the laws--@- a * (b * c) === (a * b) * c- one * a === a- a * one === a- a * (b + c) === a * b + a * c-@--Typical examples include integers, polynomials, matrices, and quaternions.--Minimal definition: '*', ('one' or 'fromInteger')--}--class (Additive.C a) => C a where- (*) :: a -> a -> a- one :: a- fromInteger :: Integer -> a- {- |- The exponent has fixed type 'Integer' in order- to avoid an arbitrarily limitted range of exponents,- but to reduce the need for the compiler to guess the type (default type).- In practice the exponent is most oftenly fixed, and is most oftenly @2@.- Fixed exponents can be optimized away and- thus the expensive computation of 'Integer's doesn't matter.- The previous solution used a 'Algebra.ToInteger.C' constrained type- and the exponent was converted to Integer before computation.- So the current solution is not less efficient.-- A variant of '^' with more flexibility is provided by 'Algebra.Core.ringPower'.- -}- (^) :: a -> Integer -> a-- {-# INLINE fromInteger #-}- fromInteger n = if n < 0- then powerAssociative (+) zero (negate one) (negate n)- else powerAssociative (+) zero one n- {-# INLINE (^) #-}- a ^ n = if n >= zero- then powerAssociative (*) one a n- else error "(^): Illegal negative exponent"- {-# INLINE one #-}- one = fromInteger 1---sqr :: C a => a -> a-sqr x = x*x--product :: (C a) => [a] -> a-product = foldl (*) one--product1 :: (C a) => [a] -> a-product1 = foldl1 (*)---scalarProduct :: C a => [a] -> [a] -> a-scalarProduct as bs = sum (zipWithChecked (*) as bs)---{- * Instances for atomic types -}--instance C Integer where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Float where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Double where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)---instance C Int where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Int8 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Int16 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Int32 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Int64 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)---instance C Word where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Word8 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Word16 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Word32 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)--instance C Word64 where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = P.fromInteger 1- fromInteger = P.fromInteger- (*) = (P.*)------propAssociative :: (Eq a, C a) => a -> a -> a -> Bool-propLeftDistributive :: (Eq a, C a) => a -> a -> a -> Bool-propRightDistributive :: (Eq a, C a) => a -> a -> a -> Bool-propLeftIdentity :: (Eq a, C a) => a -> Bool-propRightIdentity :: (Eq a, C a) => a -> Bool--propAssociative = Laws.associative (*)-propLeftDistributive = Laws.leftDistributive (*) (+)-propRightDistributive = Laws.rightDistributive (*) (+)-propLeftIdentity = Laws.leftIdentity (*) one-propRightIdentity = Laws.rightIdentity (*) one--propPowerCascade :: (Eq a, C a) => a -> Integer -> Integer -> Property-propPowerProduct :: (Eq a, C a) => a -> Integer -> Integer -> Property-propPowerDistributive :: (Eq a, C a) => Integer -> a -> a -> Property--propPowerCascade x i j = i>=0 && j>=0 ==> Laws.rightCascade (*) (^) x i j-propPowerProduct x i j = i>=0 && j>=0 ==> Laws.homomorphism (x^) (+) (*) i j-propPowerDistributive i x y = i>=0 ==> Laws.leftDistributive (^) (*) i x y--{- | Commutativity need not be satisfied by all instances of 'Algebra.Ring.C'. -}-propCommutative :: (Eq a, C a) => a -> a -> Bool--propCommutative = Laws.commutative (*)----- legacy--instance (P.Integral a) => C (Ratio98.Ratio a) where- {-# INLINE one #-}- {-# INLINE fromInteger #-}- {-# INLINE (*) #-}- one = 1- fromInteger = P.fromInteger- (*) = (P.*)
− src-ghc-6.12/Algebra/ToInteger.hs
@@ -1,141 +0,0 @@-{-# OPTIONS_GHC -fno-warn-orphans #-}-{--The orphan instance could be fixed-by making this module mutually recursive with ToRational.hs,-but that's not worth the complication.--}--module Algebra.ToInteger where--import qualified Number.Ratio as Ratio--import qualified Algebra.ToRational as ToRational-import qualified Algebra.Field as Field-import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.RealIntegral as RealIntegral-import qualified Algebra.Ring as Ring--import Number.Ratio (T((:%)), )--import Algebra.Field ((^-), )-import Algebra.Ring ((^), fromInteger, )--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import qualified Prelude as P-import NumericPrelude.Base-import Prelude (Integer, Float, Double, )---{- |-The two classes 'Algebra.ToInteger.C' and 'Algebra.ToRational.C'-exist to allow convenient conversions,-primarily between the built-in types.-They should satisfy--> fromInteger . toInteger === id-> toRational . toInteger === toRational--Conversions must be lossless,-that is, they do not round in any way.-For rounding see "Algebra.RealRing".-With the instances for 'Prelude.Float' and 'Prelude.Double'-we acknowledge that these types actually represent rationals-rather than (approximated) real numbers.-However, this contradicts to the 'Algebra.Transcendental.C' instance.--}-class (ToRational.C a, RealIntegral.C a) => C a where- toInteger :: a -> Integer---fromIntegral :: (C a, Ring.C b) => a -> b-fromIntegral = fromInteger . toInteger----- generated by GenerateRules.hs-{-# RULES- "NP.fromIntegral :: Integer -> Int" fromIntegral = P.fromIntegral :: Integer -> Int;- "NP.fromIntegral :: Integer -> Integer" fromIntegral = P.fromIntegral :: Integer -> Integer;- "NP.fromIntegral :: Integer -> Float" fromIntegral = P.fromIntegral :: Integer -> Float;- "NP.fromIntegral :: Integer -> Double" fromIntegral = P.fromIntegral :: Integer -> Double;- "NP.fromIntegral :: Int -> Int" fromIntegral = P.fromIntegral :: Int -> Int;- "NP.fromIntegral :: Int -> Integer" fromIntegral = P.fromIntegral :: Int -> Integer;- "NP.fromIntegral :: Int -> Float" fromIntegral = P.fromIntegral :: Int -> Float;- "NP.fromIntegral :: Int -> Double" fromIntegral = P.fromIntegral :: Int -> Double;- "NP.fromIntegral :: Int8 -> Int" fromIntegral = P.fromIntegral :: Int8 -> Int;- "NP.fromIntegral :: Int8 -> Integer" fromIntegral = P.fromIntegral :: Int8 -> Integer;- "NP.fromIntegral :: Int8 -> Float" fromIntegral = P.fromIntegral :: Int8 -> Float;- "NP.fromIntegral :: Int8 -> Double" fromIntegral = P.fromIntegral :: Int8 -> Double;- "NP.fromIntegral :: Int16 -> Int" fromIntegral = P.fromIntegral :: Int16 -> Int;- "NP.fromIntegral :: Int16 -> Integer" fromIntegral = P.fromIntegral :: Int16 -> Integer;- "NP.fromIntegral :: Int16 -> Float" fromIntegral = P.fromIntegral :: Int16 -> Float;- "NP.fromIntegral :: Int16 -> Double" fromIntegral = P.fromIntegral :: Int16 -> Double;- "NP.fromIntegral :: Int32 -> Int" fromIntegral = P.fromIntegral :: Int32 -> Int;- "NP.fromIntegral :: Int32 -> Integer" fromIntegral = P.fromIntegral :: Int32 -> Integer;- "NP.fromIntegral :: Int32 -> Float" fromIntegral = P.fromIntegral :: Int32 -> Float;- "NP.fromIntegral :: Int32 -> Double" fromIntegral = P.fromIntegral :: Int32 -> Double;- "NP.fromIntegral :: Int64 -> Int" fromIntegral = P.fromIntegral :: Int64 -> Int;- "NP.fromIntegral :: Int64 -> Integer" fromIntegral = P.fromIntegral :: Int64 -> Integer;- "NP.fromIntegral :: Int64 -> Float" fromIntegral = P.fromIntegral :: Int64 -> Float;- "NP.fromIntegral :: Int64 -> Double" fromIntegral = P.fromIntegral :: Int64 -> Double;- "NP.fromIntegral :: Word -> Int" fromIntegral = P.fromIntegral :: Word -> Int;- "NP.fromIntegral :: Word -> Integer" fromIntegral = P.fromIntegral :: Word -> Integer;- "NP.fromIntegral :: Word -> Float" fromIntegral = P.fromIntegral :: Word -> Float;- "NP.fromIntegral :: Word -> Double" fromIntegral = P.fromIntegral :: Word -> Double;- "NP.fromIntegral :: Word8 -> Int" fromIntegral = P.fromIntegral :: Word8 -> Int;- "NP.fromIntegral :: Word8 -> Integer" fromIntegral = P.fromIntegral :: Word8 -> Integer;- "NP.fromIntegral :: Word8 -> Float" fromIntegral = P.fromIntegral :: Word8 -> Float;- "NP.fromIntegral :: Word8 -> Double" fromIntegral = P.fromIntegral :: Word8 -> Double;- "NP.fromIntegral :: Word16 -> Int" fromIntegral = P.fromIntegral :: Word16 -> Int;- "NP.fromIntegral :: Word16 -> Integer" fromIntegral = P.fromIntegral :: Word16 -> Integer;- "NP.fromIntegral :: Word16 -> Float" fromIntegral = P.fromIntegral :: Word16 -> Float;- "NP.fromIntegral :: Word16 -> Double" fromIntegral = P.fromIntegral :: Word16 -> Double;- "NP.fromIntegral :: Word32 -> Int" fromIntegral = P.fromIntegral :: Word32 -> Int;- "NP.fromIntegral :: Word32 -> Integer" fromIntegral = P.fromIntegral :: Word32 -> Integer;- "NP.fromIntegral :: Word32 -> Float" fromIntegral = P.fromIntegral :: Word32 -> Float;- "NP.fromIntegral :: Word32 -> Double" fromIntegral = P.fromIntegral :: Word32 -> Double;- "NP.fromIntegral :: Word64 -> Int" fromIntegral = P.fromIntegral :: Word64 -> Int;- "NP.fromIntegral :: Word64 -> Integer" fromIntegral = P.fromIntegral :: Word64 -> Integer;- "NP.fromIntegral :: Word64 -> Float" fromIntegral = P.fromIntegral :: Word64 -> Float;- "NP.fromIntegral :: Word64 -> Double" fromIntegral = P.fromIntegral :: Word64 -> Double;- #-}---instance C Integer where {-#INLINE toInteger #-}; toInteger = id--instance C Int where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Int8 where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Int16 where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Int32 where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Int64 where {-#INLINE toInteger #-}; toInteger = P.toInteger--instance C Word where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Word8 where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Word16 where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Word32 where {-#INLINE toInteger #-}; toInteger = P.toInteger-instance C Word64 where {-#INLINE toInteger #-}; toInteger = P.toInteger---instance (C a, PID.C a) => ToRational.C (Ratio.T a) where- toRational (x:%y) = toInteger x :% toInteger y---{-|-A prefix function of '(Algebra.Ring.^)'-with a parameter order that fits the needs of partial application-and function composition.-It has generalised exponent.--See: Argument order of @expNat@ on-<http://www.haskell.org/pipermail/haskell-cafe/2006-September/018022.html>--}-ringPower :: (Ring.C a, C b) => b -> a -> a-ringPower exponent basis = basis ^ toInteger exponent--{- |-A prefix function of '(Algebra.Field.^-)'.-It has a generalised exponent.--}-fieldPower :: (Field.C a, C b) => b -> a -> a-fieldPower exponent basis = basis ^- toInteger exponent
− src-ghc-6.12/Algebra/ToRational.hs
@@ -1,100 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.ToRational where--import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import Algebra.Field (fromRational, )-import Algebra.Ring (fromInteger, )--import Number.Ratio (Rational, )--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )--import qualified Prelude as P-import NumericPrelude.Base-import Prelude (Integer, Float, Double, )--{- |-This class allows lossless conversion-from any representation of a rational to the fixed 'Rational' type.-\"Lossless\" means - don't do any rounding.-For rounding see "Algebra.RealRing".-With the instances for 'Float' and 'Double'-we acknowledge that these types actually represent rationals-rather than (approximated) real numbers.-However, this contradicts to the 'Algebra.Transcendental' class.--Laws that must be satisfied by instances:--> fromRational' . toRational === id--}-class (Absolute.C a) => C a where- -- | Lossless conversion from any representation of a rational to 'Rational'- toRational :: a -> Rational--instance C Integer where- {-# INLINE toRational #-}- toRational = fromInteger--instance C Float where- {-# INLINE toRational #-}- toRational = fromRational . P.toRational--instance C Double where- {-# INLINE toRational #-}- toRational = fromRational . P.toRational--instance C Int where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Int8 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Int16 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Int32 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Int64 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger--instance C Word where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Word8 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Word16 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Word32 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger-instance C Word64 where {-# INLINE toRational #-}; toRational = toRational . P.toInteger---{- |-It should hold--> realToField = fromRational' . toRational--but it should be much more efficient for particular pairs of types,-such as converting 'Float' to 'Double'.-This achieved by optimizer rules.--}-realToField :: (C a, Field.C b) => a -> b-realToField = Field.fromRational' . toRational--{-# RULES- "NP.realToField :: Integer -> Float " realToField = P.realToFrac :: Integer -> Float ;- "NP.realToField :: Int -> Float " realToField = P.realToFrac :: Int -> Float ;- "NP.realToField :: Int8 -> Float " realToField = P.realToFrac :: Int8 -> Float ;- "NP.realToField :: Int16 -> Float " realToField = P.realToFrac :: Int16 -> Float ;- "NP.realToField :: Int32 -> Float " realToField = P.realToFrac :: Int32 -> Float ;- "NP.realToField :: Int64 -> Float " realToField = P.realToFrac :: Int64 -> Float ;- "NP.realToField :: Word -> Float " realToField = P.realToFrac :: Word -> Float ;- "NP.realToField :: Word8 -> Float " realToField = P.realToFrac :: Word8 -> Float ;- "NP.realToField :: Word16 -> Float " realToField = P.realToFrac :: Word16 -> Float ;- "NP.realToField :: Word32 -> Float " realToField = P.realToFrac :: Word32 -> Float ;- "NP.realToField :: Word64 -> Float " realToField = P.realToFrac :: Word64 -> Float ;- "NP.realToField :: Float -> Float " realToField = P.realToFrac :: Float -> Float ;- "NP.realToField :: Double -> Float " realToField = P.realToFrac :: Double -> Float ;- "NP.realToField :: Integer -> Double" realToField = P.realToFrac :: Integer -> Double;- "NP.realToField :: Int -> Double" realToField = P.realToFrac :: Int -> Double;- "NP.realToField :: Int8 -> Double" realToField = P.realToFrac :: Int8 -> Double;- "NP.realToField :: Int16 -> Double" realToField = P.realToFrac :: Int16 -> Double;- "NP.realToField :: Int32 -> Double" realToField = P.realToFrac :: Int32 -> Double;- "NP.realToField :: Int64 -> Double" realToField = P.realToFrac :: Int64 -> Double;- "NP.realToField :: Word -> Double" realToField = P.realToFrac :: Word -> Double;- "NP.realToField :: Word8 -> Double" realToField = P.realToFrac :: Word8 -> Double;- "NP.realToField :: Word16 -> Double" realToField = P.realToFrac :: Word16 -> Double;- "NP.realToField :: Word32 -> Double" realToField = P.realToFrac :: Word32 -> Double;- "NP.realToField :: Word64 -> Double" realToField = P.realToFrac :: Word64 -> Double;- "NP.realToField :: Float -> Double" realToField = P.realToFrac :: Float -> Double;- "NP.realToField :: Double -> Double" realToField = P.realToFrac :: Double -> Double;- #-}
− src-ghc-6.12/Algebra/Transcendental.hs
@@ -1,200 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Transcendental where--import qualified Algebra.Algebraic as Algebraic--- import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive--import qualified Algebra.Laws as Laws--import Algebra.Algebraic (sqrt)-import Algebra.Field ((/), recip)-import Algebra.Ring ((*), (^), fromInteger)-import Algebra.Additive ((+), (-), negate)--import qualified Prelude as P-import NumericPrelude.Base---infixr 8 **, ^?--{-|-Transcendental is the type of numbers supporting the elementary-transcendental functions. Examples include real numbers, complex-numbers, and computable reals represented as a lazy list of rational-approximations.--Note the default declaration for a superclass. See the comments-below, under "Instance declaractions for superclasses".--The semantics of these operations are rather ill-defined because of-branch cuts, etc.--Minimal complete definition:- pi, exp, log, sin, cos, asin, acos, atan--}-class (Algebraic.C a) => C a where- pi :: a- exp, log :: a -> a- logBase, (**) :: a -> a -> a- sin, cos, tan :: a -> a- asin, acos, atan :: a -> a- sinh, cosh, tanh :: a -> a- asinh, acosh, atanh :: a -> a-- {-# INLINE pi #-}- {-# INLINE exp #-}- {-# INLINE log #-}- {-# INLINE logBase #-}- {-# INLINE (**) #-}- {-# INLINE sin #-}- {-# INLINE tan #-}- {-# INLINE cos #-}- {-# INLINE asin #-}- {-# INLINE atan #-}- {-# INLINE acos #-}- {-# INLINE sinh #-}- {-# INLINE tanh #-}- {-# INLINE cosh #-}- {-# INLINE asinh #-}- {-# INLINE atanh #-}- {-# INLINE acosh #-}-- x ** y = exp (log x * y)- logBase x y = log y / log x-- tan x = sin x / cos x-- asin x = atan (x / sqrt (1-x^2))- acos x = pi/2 - asin x-- -- if these definitions have errors, then those in FMP.Types have them, too- sinh x = (exp x - exp (-x)) / 2- cosh x = (exp x + exp (-x)) / 2- -- tanh x = (exp x - exp (-x)) / (exp x + exp (-x))- tanh x = sinh x / cosh x-- asinh x = log (sqrt (x^2+1) + x)- acosh x = log (sqrt (x^2-1) + x)- atanh x = (log (1+x) - log (1-x)) / 2---instance C P.Float where- {-# INLINE pi #-}- {-# INLINE exp #-}- {-# INLINE log #-}- {-# INLINE logBase #-}- {-# INLINE (**) #-}- {-# INLINE sin #-}- {-# INLINE tan #-}- {-# INLINE cos #-}- {-# INLINE asin #-}- {-# INLINE atan #-}- {-# INLINE acos #-}- {-# INLINE sinh #-}- {-# INLINE tanh #-}- {-# INLINE cosh #-}- {-# INLINE asinh #-}- {-# INLINE atanh #-}- {-# INLINE acosh #-}-- (**) = (P.**)- exp = P.exp; log = P.log; logBase = P.logBase- pi = P.pi;- sin = P.sin; cos = P.cos; tan = P.tan- asin = P.asin; acos = P.acos; atan = P.atan- sinh = P.sinh; cosh = P.cosh; tanh = P.tanh- asinh = P.asinh; acosh = P.acosh; atanh = P.atanh--instance C P.Double where- {-# INLINE pi #-}- {-# INLINE exp #-}- {-# INLINE log #-}- {-# INLINE logBase #-}- {-# INLINE (**) #-}- {-# INLINE sin #-}- {-# INLINE tan #-}- {-# INLINE cos #-}- {-# INLINE asin #-}- {-# INLINE atan #-}- {-# INLINE acos #-}- {-# INLINE sinh #-}- {-# INLINE tanh #-}- {-# INLINE cosh #-}- {-# INLINE asinh #-}- {-# INLINE atanh #-}- {-# INLINE acosh #-}-- (**) = (P.**)- exp = P.exp; log = P.log; logBase = P.logBase- pi = P.pi;- sin = P.sin; cos = P.cos; tan = P.tan- asin = P.asin; acos = P.acos; atan = P.atan- sinh = P.sinh; cosh = P.cosh; tanh = P.tanh- asinh = P.asinh; acosh = P.acosh; atanh = P.atanh----{-# INLINE (^?) #-}-(^?) :: C a => a -> a -> a-(^?) = (**)---{-* Transcendental laws, will only hold approximately on floating point numbers -}--propExpLog :: (Eq a, C a) => a -> Bool-propLogExp :: (Eq a, C a) => a -> Bool-propExpNeg :: (Eq a, C a) => a -> Bool-propLogRecip :: (Eq a, C a) => a -> Bool-propExpProduct :: (Eq a, C a) => a -> a -> Bool-propExpLogPower :: (Eq a, C a) => a -> a -> Bool-propLogSum :: (Eq a, C a) => a -> a -> Bool--propExpLog x = exp (log x) == x-propLogExp x = log (exp x) == x-propExpNeg x = exp (negate x) == recip (exp x)-propLogRecip x = log (recip x) == negate (log x)-propExpProduct x y = Laws.homomorphism exp (+) (*) x y-propExpLogPower x y = exp (log x * y) == x ** y-propLogSum x y = Laws.homomorphism log (*) (+) x y---propPowerCascade :: (Eq a, C a) => a -> a -> a -> Bool-propPowerProduct :: (Eq a, C a) => a -> a -> a -> Bool-propPowerDistributive :: (Eq a, C a) => a -> a -> a -> Bool--propPowerCascade x i j = Laws.rightCascade (*) (**) x i j-propPowerProduct x i j = Laws.homomorphism (x**) (+) (*) i j-propPowerDistributive i x y = Laws.rightDistributive (**) (*) i x y--{- * Trigonometric laws, addition theorems -}--propTrigonometricPythagoras :: (Eq a, C a) => a -> Bool-propTrigonometricPythagoras x = cos x ^ 2 + sin x ^ 2 == 1--propSinPeriod :: (Eq a, C a) => a -> Bool-propCosPeriod :: (Eq a, C a) => a -> Bool-propTanPeriod :: (Eq a, C a) => a -> Bool--propSinPeriod x = sin (x+2*pi) == sin x-propCosPeriod x = cos (x+2*pi) == cos x-propTanPeriod x = tan (x+2*pi) == tan x--propSinAngleSum :: (Eq a, C a) => a -> a -> Bool-propCosAngleSum :: (Eq a, C a) => a -> a -> Bool--propSinAngleSum x y = sin (x+y) == sin x * cos y + cos x * sin y-propCosAngleSum x y = cos (x+y) == cos x * cos y - sin x * sin y--propSinDoubleAngle :: (Eq a, C a) => a -> Bool-propCosDoubleAngle :: (Eq a, C a) => a -> Bool--propSinDoubleAngle x = sin (2*x) == 2 * sin x * cos x-propCosDoubleAngle x = cos (2*x) == 2 * cos x ^ 2 - 1--propSinSquare :: (Eq a, C a) => a -> Bool-propCosSquare :: (Eq a, C a) => a -> Bool--propSinSquare x = sin x ^ 2 == (1 - cos (2*x)) / 2-propCosSquare x = cos x ^ 2 == (1 + cos (2*x)) / 2-
− src-ghc-6.12/Algebra/Units.hs
@@ -1,153 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.Units (- {- * Class -}- C,- isUnit,- stdAssociate,- stdUnit,- stdUnitInv,-- {- * Standard implementations for instances -}- intQuery,- intAssociate,- intStandard,- intStandardInverse,-- {- * Properties -}- propComposition,- propInverseUnit,- propUniqueAssociate,- propAssociateProduct,- ) where--import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Algebra.Laws as Laws--import Algebra.IntegralDomain (div)-import Algebra.Ring (one, (*))-import Algebra.Additive (negate)-import Algebra.ZeroTestable (isZero)--import Data.Int (Int, Int8, Int16, Int32, Int64, )--import NumericPrelude.Base-import Prelude (Integer, )-import qualified Prelude as P-import Test.QuickCheck ((==>), Property)---{- |-This class lets us deal with the units in a ring.-'isUnit' tells whether an element is a unit.-The other operations let us canonically-write an element as a unit times another element.-Two elements a, b of a ring R are _associates_ if a=b*u for a unit u.-For an element a, we want to write it as a=b*u where b is an associate of a.-The map (a->b) is called-"StandardAssociate" by Gap,-"unitCanonical" by Axiom,-and "canAssoc" by DoCon.-The map (a->u) is called-"canInv" by DoCon and-"unitNormal(x).unit" by Axiom.--The laws are--> stdAssociate x * stdUnit x === x-> stdUnit x * stdUnitInv x === 1-> isUnit u ==> stdAssociate x === stdAssociate (x*u)--Currently some algorithms assume--> stdAssociate(x*y) === stdAssociate x * stdAssociate y--Minimal definition:- 'isUnit' and ('stdUnit' or 'stdUnitInv') and optionally 'stdAssociate'--}--class (Integral.C a) => C a where- isUnit :: a -> Bool- stdAssociate, stdUnit, stdUnitInv :: a -> a-- stdAssociate x = x * stdUnitInv x- stdUnit x = div one (stdUnitInv x) -- should be divChecked- stdUnitInv x = div one (stdUnit x)-----{- * Instances for atomic types -}--intQuery :: (P.Integral a, Ring.C a) => a -> Bool-intQuery = flip elem [one, negate one]-{- constraint must be replaced by NumericPrelude.Absolute -}-intAssociate, intStandard, intStandardInverse ::- (P.Integral a, Ring.C a, ZeroTestable.C a) => a -> a-intAssociate = P.abs-intStandard x = if isZero x then one else P.signum x-intStandardInverse = intStandard--instance C Int where- isUnit = intQuery- stdAssociate = intAssociate- stdUnit = intStandard- stdUnitInv = intStandardInverse--instance C Integer where- isUnit = intQuery- stdAssociate = intAssociate- stdUnit = intStandard- stdUnitInv = intStandardInverse--instance C Int8 where- isUnit = intQuery- stdAssociate = intAssociate- stdUnit = intStandard- stdUnitInv = intStandardInverse--instance C Int16 where- isUnit = intQuery- stdAssociate = intAssociate- stdUnit = intStandard- stdUnitInv = intStandardInverse--instance C Int32 where- isUnit = intQuery- stdAssociate = intAssociate- stdUnit = intStandard- stdUnitInv = intStandardInverse--instance C Int64 where- isUnit = intQuery- stdAssociate = intAssociate- stdUnit = intStandard- stdUnitInv = intStandardInverse---{--fieldQuery = not . isZero-fieldAssociate = 1-fieldStandard x = if isZero x then 1 else x-fieldStandardInverse x = if isZero x then 1 else recip x--}----propComposition :: (Eq a, C a) => a -> Bool-propInverseUnit :: (Eq a, C a) => a -> Bool-propUniqueAssociate :: (Eq a, C a) => a -> a -> Property-propAssociateProduct :: (Eq a, C a) => a -> a -> Bool--propComposition x = stdAssociate x * stdUnit x == x-propInverseUnit x = stdUnit x * stdUnitInv x == one-propUniqueAssociate u x =- isUnit u ==> stdAssociate x == stdAssociate (x*u)--{- | Currently some algorithms assume this property. -}-propAssociateProduct =- Laws.homomorphism stdAssociate (*) (*)-
− src-ghc-6.12/Algebra/Vector.hs
@@ -1,101 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2004-2005--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Abstraction of vectors--}--module Algebra.Vector where--import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import Algebra.Ring ((*))-import Algebra.Additive ((+))--import Data.List (zipWith, foldl)--- import Data.Functor (Functor, fmap)--import Prelude((.), (==), Bool, Functor, fmap)-import qualified Prelude as P----- Is this right?-infixr 7 *>--{-|-A Module over a ring satisfies:--> a *> (b + c) === a *> b + a *> c-> (a * b) *> c === a *> (b *> c)-> (a + b) *> c === a *> c + b *> c--}-class C v where- -- duplicate some methods from Additive- -- | zero element of the vector space- zero :: (Additive.C a) => v a- -- | add and subtract elements- (<+>) :: (Additive.C a) => v a -> v a -> v a- -- | scale a vector by a scalar- (*>) :: (Ring.C a) => a -> v a -> v a--infixl 6 <+>---{- |-We need a Haskell 98 type class-which provides equality test for Vector type constructors.--}-class Eq v where- eq :: P.Eq a => v a -> v a -> Bool---infix 4 `eq`---{-* Instances for standard type constructors -}--functorScale :: (Functor v, Ring.C a) => a -> v a -> v a-functorScale = fmap . (*)--instance C [] where- zero = Additive.zero- (<+>) = (Additive.+)- (*>) = functorScale--instance C ((->) b) where- zero = Additive.zero- (<+>) = (Additive.+)- (*>) s f = (s*) . f--instance Eq [] where- eq = (==)----{-* Related functions -}--{-|-Compute the linear combination of a list of vectors.--}-linearComb :: (Ring.C a, C v) => [a] -> [v a] -> v a-linearComb c = foldl (<+>) zero . zipWith (*>) c---{- * Properties -}--propCascade :: (C v, Eq v, Ring.C a, P.Eq a) =>- a -> a -> v a -> Bool-propCascade a b c = (a * b) *> c `eq` a *> (b *> c)--propRightDistributive :: (C v, Eq v, Ring.C a, P.Eq a) =>- a -> v a -> v a -> Bool-propRightDistributive a b c = a *> (b <+> c) `eq` a*>b <+> a*>c--propLeftDistributive :: (C v, Eq v, Ring.C a, P.Eq a) =>- a -> a -> v a -> Bool-propLeftDistributive a b c = (a+b) *> c `eq` a*>c <+> b*>c
− src-ghc-6.12/Algebra/VectorSpace.hs
@@ -1,34 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Algebra.VectorSpace where--import qualified Algebra.Module as Module-import qualified Algebra.Field as Field-import qualified Algebra.PrincipalIdealDomain as PID-import qualified Number.Ratio as Ratio---- import NumericPrelude.Numeric-import qualified Prelude as P---class (Field.C a, Module.C a b) => C a b---{-* Instances for atomic types -}--instance C P.Float P.Float--instance C P.Double P.Double--{-* Instances for composed types -}--instance (PID.C a) => C (Ratio.T a) (Ratio.T a)--instance (C a b0, C a b1) => C a (b0, b1)--instance (C a b0, C a b1, C a b2) => C a (b0, b1, b2)--instance (C a b) => C a [b]--instance (C a b) => C a (c -> b)
− src-ghc-6.12/Algebra/ZeroTestable.hs
@@ -1,65 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Algebra.ZeroTestable where--import qualified Algebra.Additive as Additive--import Data.Int (Int, Int8, Int16, Int32, Int64, )-import Data.Word (Word, Word8, Word16, Word32, Word64, )---- import qualified Prelude as P-import Prelude (Integer, Float, Double, )-import NumericPrelude.Base--{- |-Maybe the naming should be according to Algebra.Unit:-Algebra.Zero as module name, and @query@ as method name.--}-class C a where- isZero :: a -> Bool--{- |-Checks if a number is the zero element.-This test is not possible for all 'Additive.C' types,-since e.g. a function type does not belong to Eq.-isZero is possible for some types where (==zero) fails-because there is no unique zero.-Examples are-vector (the length of the zero vector is unknown),-physical values (the unit of a zero quantity is unknown),-residue class (the modulus is unknown).--}-defltIsZero :: (Eq a, Additive.C a) => a -> Bool-defltIsZero = (Additive.zero==)---{-* Instances for atomic types -}--instance C Integer where isZero = defltIsZero-instance C Float where isZero = defltIsZero-instance C Double where isZero = defltIsZero--instance C Int where isZero = defltIsZero-instance C Int8 where isZero = defltIsZero-instance C Int16 where isZero = defltIsZero-instance C Int32 where isZero = defltIsZero-instance C Int64 where isZero = defltIsZero--instance C Word where isZero = defltIsZero-instance C Word8 where isZero = defltIsZero-instance C Word16 where isZero = defltIsZero-instance C Word32 where isZero = defltIsZero-instance C Word64 where isZero = defltIsZero----{-* Instances for composed types -}--instance (C v0, C v1) => C (v0, v1) where- isZero (x0,x1) = isZero x0 && isZero x1--instance (C v0, C v1, C v2) => C (v0, v1, v2) where- isZero (x0,x1,x2) = isZero x0 && isZero x1 && isZero x2---instance (C v) => C [v] where- isZero = all isZero
− src-ghc-6.12/MathObj/Algebra.hs
@@ -1,74 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Mikael Johansson 2006-Maintainer : mik@math.uni-jena.de-Stability : provisional-Portability : requires multi-parameter type classes--The generic case of a k-algebra generated by a monoid.--}--module MathObj.Algebra where--import qualified Algebra.Vector as Vector-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.Monoid as Monoid--import Algebra.Ring((*))-import Algebra.Additive((+),negate,zero)-import Algebra.Monoid((<*>))--import Control.Monad(liftM2,Functor,fmap)-import Data.Map(Map)-import qualified Data.Map as Map-import Data.List(intersperse)--import NumericPrelude.Base(Ord,Eq,{-Read,-}Show,(++),($),- concat,map,show)---newtype {- (Ord a, Monoid.C a, Ring.C b) => -}- T a b = Cons (Map a b)- deriving (Eq {- ,Read -} )--instance Functor (T a) where- fmap f (Cons x) = Cons (fmap f x)---- is an Indexable instance better than an Ord instance here?--instance (Ord a, Additive.C b) => Additive.C (T a b) where- (+) = zipWith (+)- {- This implementation is attracting but wrong.- It fails if terms are present in b that are missing in a.- Default implementation is better here.- (-) = zipWith (-)- -}- negate = fmap negate- zero = Cons Map.empty--zipWith :: (Ord a) => (b -> b -> b) -> (T a b -> T a b -> T a b)-zipWith op (Cons ma) (Cons mb) = Cons (Map.unionWith op ma mb)--instance Ord a => Vector.C (T a) where- zero = zero- (<+>) = (+)- (*>) = Vector.functorScale--instance (Ord a, Monoid.C a, Ring.C b) => Ring.C (T a b) where- one = Cons $ Map.singleton Monoid.idt Ring.one- (Cons ma) * (Cons mb) =- Cons $ Map.fromListWith (+) $- liftM2 mulMonomial (Map.toList ma) (Map.toList mb)--mulMonomial :: (Monoid.C a, Ring.C b) => (a,b) -> (a,b) -> (a,b)-mulMonomial (c1,m1) (c2,m2) = (c1<*>c2,m1*m2)--instance (Show a, Show b) => Show (T a b) where- show (Cons ma) = concat $- intersperse "+" $- map (\(m,c) -> show c ++ "." ++ show m)- (Map.toList ma)--monomial :: a -> b -> (T a b)-monomial index coefficient = Cons (Map.singleton index coefficient)
− src-ghc-6.12/MathObj/DiscreteMap.hs
@@ -1,93 +0,0 @@-{-# OPTIONS_GHC -fno-warn-orphans #-}-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- FIXME:-Rationale for -fno-warn-orphans:- * The orphan instances can't be put into Numeric.NonNegative.Wrapper- since that's in another package.- * We had to spread the instance declarations- over the modules defining the typeclasses instantiated.- Do we want that?- * We could define the DiscreteMap as newtype.--}--{- |-DiscreteMap was originally intended as a type class-that unifies Map and Array.-One should be able to simply choose between- - Map for sparse arrays- - Array for full arrays.--However, the Edison package provides the class AssocX-which already exists for that purpose.--Currently I use this module for some numeric instances of Data.Map.--}-module MathObj.DiscreteMap where--import qualified Algebra.NormedSpace.Sum as NormedSum-import qualified Algebra.NormedSpace.Euclidean as NormedEuc-import qualified Algebra.NormedSpace.Maximum as NormedMax-import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Additive as Additive--import Algebra.Module ((*>))-import Algebra.Additive (zero,(+),negate)-import qualified Data.Map as Map-import Data.Map (Map)---- import qualified Prelude as P-import NumericPrelude.Base---- FIXME: Should this be implemented by isZero?--- | Remove all zero values from the map.-strip :: (Ord i, Eq v, Additive.C v) => Map i v -> Map i v-strip = Map.filter (zero /=)---strip = Map.filter (((0 /=) .) . (flip const))--instance (Ord i, Eq v, Additive.C v) => Additive.C (Map i v) where- zero = Map.empty- (+) = (strip.). Map.unionWith (+)- --(+) y x = strip (Map.unionWith (+) y x)- (-) x y = (+) x (negate y)- {- won't work because Map.unionWith won't negate a value from y if no x value corresponds to it- (-) x y = strip (Map.unionWith sub x y)- -}- negate = fmap negate--instance Ord i => Vector.C (Map i) where- zero = Map.empty- (<+>) = Map.unionWith (+)- -- requires Eq instance for expo- -- expo *> x = if expo == zero then zero else Vector.functorScale expo x- (*>) = Vector.functorScale--instance (Ord i, Eq a, Eq v, Module.C a v)- => Module.C a (Map i v) where--- (*>) 0 = \_ -> zero--- (*>) expo = fmap ((*>) expo)- (*>) expo x = if expo == zero then zero else fmap (expo *>) x--instance (Ord i, Eq a, Eq v, VectorSpace.C a v)- => VectorSpace.C a (Map i v)--instance (Ord i, Eq a, Eq v, NormedSum.C a v)- => NormedSum.C a (Map i v) where- norm = foldl (+) zero . map NormedSum.norm . Map.elems--instance (Ord i, Eq a, Eq v, NormedEuc.Sqr a v)- => NormedEuc.Sqr a (Map i v) where- normSqr = foldl (+) zero . map NormedEuc.normSqr . Map.elems--instance (Ord i, Eq a, Eq v, Algebraic.C a, NormedEuc.Sqr a v)- => NormedEuc.C a (Map i v) where- norm = NormedEuc.defltNorm--instance (Ord i, Eq a, Eq v, NormedMax.C a v)- => NormedMax.C a (Map i v) where- norm = foldl max zero . map NormedMax.norm . Map.elems
− src-ghc-6.12/MathObj/Gaussian/Bell.hs
@@ -1,314 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{--Complex translated Gaussian bell curve-with amplitude abstracted away.--}-module MathObj.Gaussian.Bell where--import qualified MathObj.Polynomial as Poly-import qualified Number.Complex as Complex--import qualified Algebra.Transcendental as Trans-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import Number.Complex ((+:), )--import Test.QuickCheck (Arbitrary, arbitrary, )-import Control.Monad (liftM4, )---- import Prelude (($))-import NumericPrelude.Numeric-import NumericPrelude.Base hiding (reverse, )---data T a = Cons {amp :: a, c0, c1 :: Complex.T a, c2 :: a}- deriving (Eq, Show)--instance (Absolute.C a, Arbitrary a) => Arbitrary (T a) where- arbitrary =- liftM4- (\k a b c -> Cons (abs k) a b (1 + abs c))- arbitrary arbitrary arbitrary arbitrary---constant :: Ring.C a => T a-constant = Cons one zero zero zero--{- |-eigenfunction of 'fourier'--}-unit :: Ring.C a => T a-unit = Cons one zero zero one--{-# INLINE evaluate #-}-evaluate :: (Trans.C a) =>- T a -> a -> Complex.T a-evaluate f x =- Complex.scale- (sqrt (amp f))- (Complex.exp $ Complex.scale (-pi) $- c0 f + Complex.scale x (c1 f) + Complex.fromReal (c2 f * x^2))--evaluateSqRt :: (Trans.C a) =>- T a -> a -> Complex.T a-evaluateSqRt f x0 =- Complex.scale- (sqrt (amp f))- (let x = sqrt pi * x0- in Complex.exp $ negate $- c0 f + Complex.scale x (c1 f) + Complex.fromReal (c2 f * x^2))--exponentPolynomial :: (Additive.C a) =>- T a -> Poly.T (Complex.T a)-exponentPolynomial f =- Poly.fromCoeffs [c0 f, c1 f, Complex.fromReal (c2 f)]---variance :: (Trans.C a) =>- T a -> a-variance f =- recip $ c2 f * 2*pi--multiply :: (Ring.C a) =>- T a -> T a -> T a-multiply f g =- Cons- (amp f * amp g)- (c0 f + c0 g) (c1 f + c1 g) (c2 f + c2 g)--powerRing :: (Trans.C a) =>- Integer -> T a -> T a-powerRing p f =- let pa = fromInteger p- in Cons- (amp f ^ p)- (pa * c0 f) (pa * c1 f) (fromInteger p * c2 f)--{--powerField does not makes sense,-since the reciprocal of a Gaussian diverges.--}--powerAlgebraic :: (Trans.C a) =>- Rational -> T a -> T a-powerAlgebraic p f =- let pa = fromRational' p- in Cons- (amp f ^/ p)- (pa * c0 f) (pa * c1 f) (fromRational' p * c2 f)--powerTranscendental :: (Trans.C a) =>- a -> T a -> T a-powerTranscendental p f =- Cons- (amp f ^? p)- (Complex.scale p $ c0 f) (Complex.scale p $ c1 f) (p * c2 f)---{--let x=Cons 2 (1+:3) (4+:5) (7::Rational); y=Cons 7 (1+:4) (3+:2) (5::Rational)--}-convolve :: (Field.C a) =>- T a -> T a -> T a-convolve f g =- let s = c2 f + c2 g- {-- fd = f1/(2*f2)- gd = g1/(2*g2)- c = f2*g2/(f2+g2)-- c*(fd+gd) = (f1*g2+f2*g1)/(2*(f2+g2)) = b/2-- c*(fd+gd)^2 - fd^2*f2 - gd^2*g2- = f2*g2*(fd+gd)^2/(f2 + g2) - (fd^2*f2 + gd^2*g2)- = (f2*g2*(fd+gd)^2 - (f2+g2)*(fd^2*f2+gd^2*g2)) / (f2 + g2)- = (2*f2*g2*fd*gd - (fd^2*f2^2+gd^2*g2^2)) / (f2 + g2)- = (2*f1*g1 - (f1^2+g1^2)) / (4*(f2 + g2))- = -(f1 - g1)^2/(4*(f2 + g2))- -}- in Cons- (amp f * amp g / s)- (c0 f + c0 g- - Complex.scale (recip (4*s)) ((c1 f - c1 g)^2))- (Complex.scale (c2 g / s) (c1 f) +- Complex.scale (c2 f / s) (c1 g))- (c2 f * c2 g / s)- -- recip $ recip (c2 f) + recip (c2 g)-{-- Cons- (c0 f + c0 g) (c1 f + c1 g)- (recip $ recip (c2 f) + recip (c2 g))--}--convolveByTranslation :: (Field.C a) =>- T a -> T a -> T a-convolveByTranslation f0 g0 =- let fd = Complex.scale (recip (2 * c2 f0)) $ c1 f0- gd = Complex.scale (recip (2 * c2 g0)) $ c1 g0- f1 = translateComplex fd f0- g1 = translateComplex gd g0- s = c2 f1 + c2 g1- in translateComplex (negate $ fd + gd) $- Cons- (amp f1 * amp g1 / s)- (c0 f1 + c0 g1) zero- (c2 f1 * c2 g1 / s)--convolveByFourier :: (Field.C a) =>- T a -> T a -> T a-convolveByFourier f g =- reverse $ fourier $ multiply (fourier f) (fourier g)--fourier :: (Field.C a) =>- T a -> T a-fourier f =- let a = c0 f- b = c1 f- rc = recip $ c2 f- in Cons- (amp f * rc)- (Complex.scale (rc/4) (-b^2) + a)- (Complex.scale rc $ Complex.quarterRight b)- rc--fourierByTranslation :: (Field.C a) =>- T a -> T a-fourierByTranslation f =- translateComplex (Complex.scale (1/2) $ Complex.quarterLeft $ c1 f) $- Cons (amp f / c2 f) (c0 f) zero (recip $ c2 f)--{--a + b*x + c*x^2- = c*(a/c + b/c*x + x^2)- = c*((x-b/(2*c))^2 + (4*a*c+b^2)/(4*c^2))- = c*(x-b/(2*c))^2 + (4*a*c+b^2)/(4*c)--fourier ->- x^2/c - i*b/c*x + (4*a*c+b^2)/(4*c)--fourier (x -> exp(-pi*c*(x-t)^2))- = fourier $ translate t $ shrink (sqrt c) $ x -> exp(-pi*x^2)- = modulate t $ dilate (sqrt c) $ fourier $ x -> exp(-pi*x^2)- = modulate t $ dilate (sqrt c) $ x -> exp(-pi*x^2)- = modulate t $ x -> exp(-pi*x^2/c)- = x -> exp(-pi*x^2/c) * exp(-2*pi*i*x*t)- = x -> exp(-pi*(x^2/c - 2*i*x*t))--}--{--b*x + c*x^2- = c*(b/c*x + x^2)- = c*((x-br/(2*c))^2 + i*x*bi/c - br^2/(4*c^2))- = c*(x-br/(2*c))^2 + i*x*bi - br^2/(4*c)--fourier ->- (x+bi/2)^2/c - i*br/c*(x+bi/2) - br^2/(4*c)- = (1/c) * ((x+bi/2)^2 - i*br*(x+bi/2) + (br/2)^2)- = (1/c) * (x^2 - i*b*x + -(br/2)^2 + (bi/2)^2 - i*br*bi/2)- = (1/c) * (x^2 - i*b*x - (br^2-bi^2+2*br*bi*i)^2 /4)- = (1/c) * (x^2 - i*b*x - b^2 / 4)- = (1/c) * (x^2 - i*b*x + (i*b/2)^2)- = (1/c) * (x - i*b/2)^2--Example:- (x-b)^2 = b^2 - 2*b*x + x^2- -> (- i*2*b*x + x^2)---fourier (x -> exp(-pi*(c*(x-t)^2 + 2*i*m*x)))- = fourier $ modulate m $ translate t $ shrink (sqrt c) $ x -> exp(-pi*x^2)- = translate (-m) $ modulate t $ dilate (sqrt c) $ fourier $ x -> exp(-pi*x^2)- = translate (-m) $ modulate t $ dilate (sqrt c) $ x -> exp(-pi*x^2)- = translate (-m) $ modulate t $ x -> exp(-pi*x^2/c)- = translate (-m) $ x -> exp(-pi*x^2/c) * exp(-2*pi*i*x*t)- = x -> exp(-pi*(x+m)^2/c) * exp(-2*pi*i*(x+m)*t)- = x -> exp(-pi*((x+m)^2/c - 2*i*(x+m)*t))--}--{--fourier (Cons a 0 0) =- Cons a 0 infinity--fourier (Cons 0 0 c) =- Cons 0 0 (recip c)--fourier (Cons 0 b 1) =- Cons 0 (i*b) 1--}--translate :: Ring.C a => a -> T a -> T a-translate d f =- let a = c0 f- b = c1 f- c = c2 f- in Cons- (amp f)- (Complex.fromReal (c*d^2) - Complex.scale d b + a)- (Complex.fromReal (-2*c*d) + b)- c--translateComplex :: Ring.C a => Complex.T a -> T a -> T a-translateComplex d f =- let a = c0 f- b = c1 f- c = c2 f- in Cons- (amp f)- (Complex.scale c (d^2) - b*d + a)- (Complex.scale (-2*c) d + b)- c--modulate :: Ring.C a => a -> T a -> T a-modulate d f =- Cons- (amp f)- (c0 f)- (c1 f + (zero +: 2*d))- (c2 f)--turn :: Ring.C a => a -> T a -> T a-turn d f =- Cons- (amp f)- (c0 f + (zero +: 2*d))- (c1 f)- (c2 f)--reverse :: Additive.C a => T a -> T a-reverse f =- f{c1 = negate $ c1 f}---dilate :: Field.C a => a -> T a -> T a-dilate k f =- Cons- (amp f)- (c0 f)- (Complex.scale (recip k) $ c1 f)- (c2 f / k^2)--shrink :: Ring.C a => a -> T a -> T a-shrink k f =- Cons- (amp f)- (c0 f)- (Complex.scale k $ c1 f)- (c2 f * k^2)--amplify :: (Ring.C a) => a -> T a -> T a-amplify k f =- Cons- (k^2 * amp f)- (c0 f)- (c1 f)- (c2 f)---{- laws-fourier (convolve f g) = fourier f * fourier g--fourier (fourier f) = reverse f--}
− src-ghc-6.12/MathObj/Gaussian/Example.hs
@@ -1,227 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{--Reciprocal of variance of a Gaussian bell curve.-We describe the curve only in terms of its variance-thus we represent a bell curve at the coordinate origin-neglecting its amplitude.--We could also define the amplitude as @root 4 c@,-thus preserving L2 norm being one,-but then @dilate@ and @shrink@ also include an amplification.--We could do some projective geometry in the exponent-in order to also have zero variance,-which corresponds to the dirac impulse.--}-module MathObj.Gaussian.Example where--import qualified MathObj.Gaussian.Polynomial as PolyBell-import qualified MathObj.Gaussian.Bell as Bell-import qualified MathObj.Gaussian.Variance as Var--import qualified MathObj.Polynomial as Poly--import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field--- import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive--import qualified Number.Complex as Complex--import Algebra.Transcendental (pi, )-import Algebra.Algebraic (root, )-import Algebra.Ring ((*), (^), )--import Number.Complex ((+:), )--import qualified Numerics.Function as Func-import qualified Numerics.Fourier as Fourier-import qualified Numerics.Integration as Integ-import qualified Numerics.Differentiation as Diff--import qualified Graphics.Gnuplot.Simple as GP--import Control.Applicative (liftA2, )---- import System.Exit (ExitCode, )---- import Prelude (($))-import NumericPrelude.Numeric-import NumericPrelude.Base-import qualified Prelude as P---curve0 :: Var.T Double-curve0 = curve0a--curve0a :: Var.T Double-curve0a = Var.Cons 1.4 3.3--curve0b :: Var.T Double-curve0b = Var.Cons 2.2 1.7--variance0 :: (Double, Double)-variance0 =- (Var.variance curve0,- (Integ.rectangular 1000 (-2,2) $ liftA2 (*) (^2) (Var.evaluate curve0)) /- (Integ.rectangular 1000 (-2,2) $ Var.evaluate curve0))--norm10 :: (Double, Double)-norm10 =- (Integ.rectangular 1000 (-2,2) $ Var.evaluate curve0,- Var.norm1 curve0)--norm20 :: (Double, Double)-norm20 =- (sqrt $ Integ.rectangular 1000 (-2,2) $ (^2) . Var.evaluate curve0,- Var.norm2 curve0)--norm30 :: (Double, Double)-norm30 =- (root 3 $ Integ.rectangular 1000 (-2,2) $ (^3) . Var.evaluate curve0,- Var.normP 3 curve0)--fourier0 :: IO ()-fourier0 =- GP.plotFuncs []- (GP.linearScale 100 (-2,2))- [Var.evaluate $ Var.fourier curve0,- Fourier.analysisTransformOneReal 100 (-2,2) $ Var.evaluate curve0]--multiply0 :: IO ()-multiply0 =- GP.plotFuncs []- (GP.linearScale 100 (-1,1))- [Var.evaluate $ Var.multiply curve0a curve0b,- liftA2 (*) (Var.evaluate curve0a) (Var.evaluate curve0b)]--convolve0 :: IO ()-convolve0 =- GP.plotFuncs []- (GP.linearScale 100 (-2,2))- [Var.evaluate $ Var.convolve curve0a curve0b,- Integ.convolve 1000 (-3,3) (Var.evaluate curve0a) (Var.evaluate curve0b)]---curve1 :: Bell.T Double-curve1 = curve1a--curve1a :: Bell.T Double-curve1a = Bell.Cons 1.4 (0.1+:0.3) ((-0.2)+:1.4) 2.3--curve1b :: Bell.T Double-curve1b = Bell.Cons 2.2 ((-0.3)+:2.1) (0.2+:(-0.4)) 1.7--variance1 :: (Double, Double)-variance1 =- (Bell.variance curve1,- (Integ.rectangular 1000 (-2,2) $- liftA2 (*) (^2)- (Complex.magnitudeSqr .- Func.translateRight- (Complex.real (Bell.c1 curve1) / (2 * Bell.c2 curve1))- (Bell.evaluate curve1))) /- (Integ.rectangular 1000 (-2,2) $ Complex.magnitude . Bell.evaluate curve1))--{- the norm depends on too much things-norm0vs1 :: (Double, Double)-norm0vs1 =- ((Integ.rectangular 1000 (-5,5) $ Var.evaluate curve0)- * exp (- Complex.real (Bell.c0 curve1)),- Integ.rectangular 1000 (-5,5) $ Complex.magnitude . Bell.evaluate curve1)--}--fourier1 :: IO ()-fourier1 =- GP.plotFuncs []- (GP.linearScale 100 (-5,5))- [Complex.real . (Bell.evaluate $ Bell.fourier curve1),- fourierAnalysisReal 100 (-2,2) $ Bell.evaluate curve1]---curve2 :: PolyBell.T Double-curve2 =- PolyBell.Cons--- Bell.unit--- (Bell.Cons 1.4 (0.1+:0.3) 0 1.2)--- (Bell.Cons 1.4 (0.1+:0.3) ((-0.2)+:1.4) 1)- curve1--- (Poly.fromCoeffs [one])--- (Poly.fromCoeffs [zero,one])--- (Poly.fromCoeffs [zero,zero,one])--- (Poly.fromCoeffs [0,Complex.imaginaryUnit])- (Poly.fromCoeffs [1.4+:(-0.1),0.8+:(0.1),(-1.1)+:0.3])--differentiate2 :: IO ()-differentiate2 =- GP.plotFuncs []- (GP.linearScale 100 (-2,2))- [Complex.real . (PolyBell.evaluateSqRt $ PolyBell.differentiate curve2),- ((/ sqrt pi) . ) $ Diff.diff (1e-5) $ Complex.real . PolyBell.evaluateSqRt curve2]--fourier2 :: IO ()-fourier2 =- GP.plotFuncs []- (GP.linearScale 100 (-5,5))- [Complex.real . (PolyBell.evaluateSqRt $ PolyBell.fourier curve2),- fourierAnalysisReal 100 (-2,2) $ PolyBell.evaluateSqRt curve2]----fourierAnalysisReal ::- (P.Floating a) =>- Integer -> (a, a) -> (a -> Complex.T a) -> a -> a-fourierAnalysisReal n rng f =- liftA2 (P.-)- (Fourier.analysisTransformOneReal n rng (Complex.real . f))- (Fourier.analysisTransformOneImag n rng (Complex.imag . f))---{- |-Try to approximate @\x -> exp (-x^2) * x@-by a difference of translated Gaussian bells.--exp(-x^2) * x- == exp(-(a+b*x+c*x^2)) - exp(-(a-b*x+c*x^2))- == exp(-(a+c*x^2)) * (exp(-b*x) - exp(b*x))- == exp(-(a+c*x^2)) * 2*sinh (b*x)--It holds- lim (\b x -> sinh (b*x) / b) = id--}-diffApprox :: IO ()-diffApprox =- let amp = (2*b)^- (-2)- a = 0- {-- amp = 1- a = log (2 * abs b)- -}- b = -0.1- c = 1- ac = Complex.fromReal a- bc = Complex.fromReal b- in GP.plotFuncs []- (GP.linearScale 100 (-2,2::Double))- [Complex.real .- (PolyBell.evaluateSqRt $- PolyBell.Cons Bell.unit (Poly.fromCoeffs [zero,one])),- Complex.real .- liftA2 (-)- (PolyBell.evaluateSqRt $- PolyBell.Cons (Bell.Cons amp ac bc c) (Poly.fromCoeffs [one]))- (PolyBell.evaluateSqRt $- PolyBell.Cons (Bell.Cons amp ac (-bc) c) (Poly.fromCoeffs [one]))]---polyApprox :: IO ()-polyApprox =- GP.plotFuncs []- (GP.linearScale 100 (-2,2::Double))- [Complex.real .- PolyBell.evaluateSqRt curve2,- Complex.real . sum .- mapM (\(amp,b) -> \x -> amp * Bell.evaluateSqRt b x)- (PolyBell.approximateByBells 0.1 curve2)]
− src-ghc-6.12/MathObj/Gaussian/Polynomial.hs
@@ -1,435 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{--Complex Gaussian bell multiplied with a polynomial.--In order to make this free of @pi@ factors,-we have to choose @recip (sqrt pi)@-as unit for translations and modulations,-for linear factors and in the differentiation.--}-{--ToDo:--* In order to avoid the weird @sqrt pi@ factor,- use a polynomial expression in @pi@.--* sum of multiple bells using Data.Map from exponent polynomial to coefficient polynomial- use of Algebra object.--* Projective geometry in order to support Dirac impulse.--}-module MathObj.Gaussian.Polynomial where--import qualified MathObj.Gaussian.Bell as Bell--import qualified MathObj.LaurentPolynomial as LPoly-import qualified MathObj.Polynomial.Core as PolyCore-import qualified MathObj.Polynomial as Poly-import qualified Number.Complex as Complex--import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Differential as Differential-import qualified Algebra.Transcendental as Trans-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import qualified Data.Record.HT as Rec-import qualified Data.List as List-import Data.Function.HT (nest, )-import Data.Eq.HT (equating, )-import Data.List.HT (mapAdjacent, )-import Data.Tuple.HT (forcePair, )--import Test.QuickCheck (Arbitrary, arbitrary, )-import Control.Monad (liftM2, )--import NumericPrelude.Numeric-import NumericPrelude.Base hiding (reverse, )--- import Prelude ()---data T a = Cons {bell :: Bell.T a, polynomial :: Poly.T (Complex.T a)}- deriving (Show)--instance (Absolute.C a, Eq a) => Eq (T a) where- (==) = equal---{--Helper data type for 'equal',-that allows to call the (not quite trivial) polynomial equality check.-@RootProduct r a@ represents @sqrt r * a@.-The test using 'signum' works for real numbers,-and I do not know, whether it is correct for other mathematical objects.-However I cannot imagine other mathematical objects,-that make sense at all, here.-Maybe elements of a finite field.--}-data RootProduct a = RootProduct a a--instance (Absolute.C a, Eq a) => Eq (RootProduct a) where- (RootProduct xr xa) == (RootProduct yr ya) =- let xp = xr*xa^2- yp = yr*ya^2- in xp==yp &&- (isZero xp || signum xa == signum ya)--instance (ZeroTestable.C a) => ZeroTestable.C (RootProduct a) where- isZero (RootProduct r a) = isZero r || isZero a---{--The derived Eq is not correct.-We have to combine the amplitude of the bell with the polynomial,-respecting signs and the square root of the bell amplitude.--}-equal :: (Absolute.C a, Eq a) => T a -> T a -> Bool-equal x y =- let bx = bell x- by = bell y- scaleSqr b =- (\p ->- (fmap (RootProduct (Bell.amp b) . Complex.real) p,- fmap (RootProduct (Bell.amp b) . Complex.imag) p))- . polynomial- in Rec.equal- (equating Bell.c0 :- equating Bell.c1 :- equating Bell.c2 :- [])- bx by- &&- scaleSqr bx x == scaleSqr by y---instance (Absolute.C a, Arbitrary a) => Arbitrary (T a) where- arbitrary =--- liftM2 Cons arbitrary arbitrary- liftM2 Cons- arbitrary- -- we have to restrict the number of polynomial coefficients,- -- since with the quadratic time algorithms like fourier and convolve,- -- in connection with Rational slow down tests too much.- (fmap (Poly.fromCoeffs . take 5 . Poly.coeffs) arbitrary)----{-# INLINE evaluateSqRt #-}-evaluateSqRt :: (Trans.C a) =>- T a -> a -> Complex.T a-evaluateSqRt f x =- Bell.evaluateSqRt (bell f) x *- Poly.evaluate (polynomial f) (Complex.fromReal $ sqrt pi * x)-{- ToDo: evaluating a complex polynomial for a real argument can be optimized -}---constant :: (Ring.C a) => T a-constant =- Cons Bell.constant (Poly.const one)--scale :: (Ring.C a) => a -> T a -> T a-scale x f =- f{polynomial = fmap (Complex.scale x) $ polynomial f}--scaleComplex :: (Ring.C a) => Complex.T a -> T a -> T a-scaleComplex x f =- f{polynomial = fmap (x*) $ polynomial f}---eigenfunction :: (Field.C a) => Int -> T a-eigenfunction =- eigenfunctionDifferential--eigenfunction0 :: (Ring.C a) => T a-eigenfunction0 =- Cons Bell.unit (Poly.fromCoeffs [one])--eigenfunction1 :: (Ring.C a) => T a-eigenfunction1 =- Cons Bell.unit (Poly.fromCoeffs [zero, one])--eigenfunction2 :: (Field.C a) => T a-eigenfunction2 =- Cons Bell.unit (Poly.fromCoeffs [-(1/4), zero, one])--eigenfunction3 :: (Field.C a) => T a-eigenfunction3 =- Cons Bell.unit (Poly.fromCoeffs [zero, -(3/4), zero, one])---eigenfunctionDifferential :: (Field.C a) => Int -> T a-eigenfunctionDifferential n =- (\f -> f{bell = Bell.unit}) $- nest n (scale (-1/4) . differentiate) $- Cons (Bell.Cons one zero zero 2) one--eigenfunctionIterative :: (Field.C a, Absolute.C a, Eq a) => Int -> T a-eigenfunctionIterative n =- fst . head . dropWhile (uncurry (/=)) . mapAdjacent (,) $- eigenfunctionIteration $- Cons- Bell.unit- (Poly.fromCoeffs $ replicate n zero ++ [one])--eigenfunctionIteration :: (Field.C a) => T a -> [T a]-eigenfunctionIteration =- iterate (\x ->- let y = fourier x- px = polynomial x- py = polynomial y- c = last (Poly.coeffs px) / last (Poly.coeffs py)- in y{polynomial = fmap (0.5*) (px + fmap (c*) py)})---multiply :: (Ring.C a) =>- T a -> T a -> T a-multiply f g =- Cons- (Bell.multiply (bell f) (bell g))- (polynomial f * polynomial g)--convolve, {- convolveByDifferentiation, -} convolveByFourier :: (Field.C a) =>- T a -> T a -> T a-convolve = convolveByFourier--{--f <*> g =- let (foff,fint) = integrate f- in fint <*> differentiate g + makeGaussPoly foff * g--In principle this would work,-but (makeGaussPoly foff * g) contains a lot of-convolutions of Gaussian with Gaussian-polynomial-product,-where the Gaussians have different parameters.--convolveByDifferentiation f g =- case polynomial f of- fpoly ->- if null $ Poly.coeffs fpoly- then ...- else ...--}--convolveByFourier f g =- reverse $ fourier $ multiply (fourier f) (fourier g)--{--We use a Horner like scheme-in order to translate multiplications with @id@-to differentations on the Fourier side.-Quadratic runtime.--fourier (Cons bell (Poly.const a + Poly.shift f))- = fourier (Cons bell (Poly.const a)) + fourier (Cons bell (Poly.shift f))- = fourier (Cons bell (Poly.const a)) + differentiate (fourier (Cons bell f))--}-fourier :: (Field.C a) =>- T a -> T a-fourier f =- foldr- (\c p ->- let q = differentiate p- in q{polynomial =- Poly.const c +- fmap (Complex.scale (1/2) . Complex.quarterLeft) (polynomial q)})- (Cons (Bell.fourier $ bell f) zero) $- Poly.coeffs $ polynomial f--{- |-Differentiate and divide by @sqrt pi@ in order to stay in a ring.-This way, we do not need to fiddle with pi factors.--}-differentiate :: (Ring.C a) => T a -> T a-differentiate f =- f{polynomial =- Differential.differentiate (polynomial f)- - Differential.differentiate (Bell.exponentPolynomial (bell f))- * polynomial f}--{--snd $ integrate $ differentiate (Cons Bell.unit (Poly.fromCoeffs [7,7,7,7]) :: T Double)--g = (bell f * poly f)'- = bell f * ((poly f)' - (exppoly (bell f))' * poly f)-poly g = (poly f)' - (exppoly (bell f))' * poly f--Integration means we have g and ask for f.--poly f = ((poly f)' - poly g) / (exppoly (bell f))'--However must start with the highest term of 'poly f',-and thus we need to perform the division on reversed polynomials.--}-integrate ::- (Field.C a, ZeroTestable.C a) =>- T a -> (Complex.T a, T a)-integrate f =- let fs = Poly.coeffs $ polynomial f- (ys,~[r]) =- PolyCore.divModRev- {-- We need the shortening convention of 'zipWith'- in order to limit the result list,- we cannot use list instance for (-).- -}- (zipWith (-)- (0 : 0 : diffRev ys)- (List.reverse fs))- (List.reverse $ Poly.coeffs $- Differential.differentiate $- Bell.exponentPolynomial $ bell f)- in forcePair $- if null fs- then (zero, f)- else (r, f{polynomial = Poly.fromCoeffs $ List.reverse ys})--diffRev :: Ring.C a => [a] -> [a]-diffRev xs =- zipWith (*) xs- (drop 1 (iterate (subtract 1) (fromIntegral $ length xs)))--translate :: Ring.C a => a -> T a -> T a-translate d =- translateComplex (Complex.fromReal d)--translateComplex :: Ring.C a => Complex.T a -> T a -> T a-translateComplex d f =- Cons- (Bell.translateComplex d $ bell f)- (Poly.translate d $ polynomial f)--modulate :: Ring.C a => a -> T a -> T a-modulate d f =- Cons- (Bell.modulate d $ bell f)- (polynomial f)--turn :: Ring.C a => a -> T a -> T a-turn d f =- Cons- (Bell.turn d $ bell f)- (polynomial f)--reverse :: Additive.C a => T a -> T a-reverse f =- Cons- (Bell.reverse $ bell f)- (Poly.reverse $ polynomial f)--dilate :: Field.C a => a -> T a -> T a-dilate k f =- Cons- (Bell.dilate k $ bell f)- (Poly.dilate (Complex.fromReal k) $ polynomial f)--shrink :: Ring.C a => a -> T a -> T a-shrink k f =- Cons- (Bell.shrink k $ bell f)- (Poly.shrink (Complex.fromReal k) $ polynomial f)--{--We could also amplify the polynomial coefficients.--}-amplify :: Ring.C a => a -> T a -> T a-amplify k f =- Cons- (Bell.amplify k $ bell f)- (polynomial f)---{- |-Approximate a @T a@ using a linear combination of translated @Bell.T a@.-The smaller the unit (e.g. 0.1, 0.01, 0.001)-the better the approximation but the worse the numeric properties.--We cannot put all information into @amp@ of @Bell@,-since @amp@ must be real, but is complex here by construction.-We really need at least signed amplitudes at this place,-since we want to represent differences of Gaussians.--}-approximateByBells ::- Field.C a =>- a -> T a -> [(Complex.T a, Bell.T a)]-approximateByBells unit f =- let b = bell f- amps =- -- approximateByBellsByTranslation- approximateByBellsAtOnce- unit- (Complex.scale (recip (2 * Bell.c2 b)) (Bell.c1 b))- (recip (2*unit*Bell.c2 b))- (polynomial f)- in zip (LPoly.coeffs amps) $- map- (\d -> Bell.translate d b)- (laurentAbscissas (unit/2) amps)--approximateByBellsAtOnce ::- Field.C a =>- a -> Complex.T a -> a -> Poly.T (Complex.T a) -> LPoly.T (Complex.T a)-approximateByBellsAtOnce unit d s p =- foldr- (\x amps0 ->- {-- Decompose (bell t * (t-d)) = bell t * t - bell t * d- -}- let y = fmap (Complex.scale s) amps0- in -- \t -> bell t * t- -- ~ (translate unit bell - translate (-unit) bell) / unit- LPoly.shift 1 y -- LPoly.shift (-1) y +- -- bell t * d- zipWithAbscissas- (\t z -> (Complex.fromReal t - d) * z)- (unit/2) amps0 +- LPoly.const x)- (LPoly.fromCoeffs [])- (Poly.coeffs p)--approximateByBellsByTranslation ::- Field.C a =>- a -> Complex.T a -> a -> Poly.T (Complex.T a) -> LPoly.T (Complex.T a)-approximateByBellsByTranslation unit d s p =- foldr- (\x amps0 ->- {-- Decompose (bell t * (t-d)) = bell t * t - bell t * d- -}- let y = fmap (Complex.scale s) amps0- in -- \t -> bell t * t- -- ~ (translate unit bell - translate (-unit) bell) / unit- LPoly.shift 1 y -- LPoly.shift (-1) y +- -- bell t * d- zipWithAbscissas Complex.scale (unit/2) amps0 +- LPoly.const x)- (LPoly.fromCoeffs [])- (Poly.coeffs $ Poly.translate d p)--zipWithAbscissas ::- (Ring.C a) =>- (a -> b -> c) -> a -> LPoly.T b -> LPoly.T c-zipWithAbscissas h unit y =- LPoly.fromShiftCoeffs (LPoly.expon y) $- zipWith h- (laurentAbscissas unit y)- (LPoly.coeffs y)--laurentAbscissas :: Ring.C a => a -> LPoly.T c -> [a]-laurentAbscissas unit =- map (\d -> fromIntegral d * unit) .- iterate (1+) . LPoly.expon---{- No Ring instance for Gaussians-instance (Ring.C a) => Differential.C (T a) where- differentiate = differentiate--}--{- laws-differentiate (f*g) =- (differentiate f) * g + f * (differentiate g)--}
− src-ghc-6.12/MathObj/Gaussian/Variance.hs
@@ -1,194 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{--We represent a Gaussian bell curve in terms of the reciprocal of its variance-and its value at the origin.--We could do some projective geometry in the exponent-in order to also have zero variance,-which corresponds to the dirac impulse.--}-module MathObj.Gaussian.Variance where--import qualified MathObj.Polynomial as Poly-import qualified Number.Root as Root--import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--{--import Algebra.Transcendental (pi, )-import Algebra.Ring ((*), (^), )-import Algebra.Additive ((+))--}-import Test.QuickCheck (Arbitrary, arbitrary, )-import Control.Monad (liftM2, )---- import Prelude (($))-import NumericPrelude.Numeric-import NumericPrelude.Base---{- |-Since @amp@ is the square of the actual amplitude it must be non-negative.--}-data T a = Cons {amp, c :: a}- deriving (Eq, Show)--instance (Absolute.C a, Arbitrary a) => Arbitrary (T a) where- arbitrary =- liftM2 Cons- (fmap abs arbitrary)- (fmap ((1+) . abs) arbitrary)---constant :: Ring.C a => T a-constant = Cons one zero--{-# INLINE evaluate #-}-evaluate :: (Trans.C a) =>- T a -> a -> a-evaluate f x =- sqrt (amp f) * exp (-pi * c f * x^2)--exponentPolynomial :: (Additive.C a) =>- T a -> Poly.T a-exponentPolynomial f =- Poly.fromCoeffs [zero, zero, c f]---integrateRoot :: (Field.C a) => T a -> Root.T a-integrateRoot f =- Root.sqrt $ Root.fromNumber $ amp f / c f--scalarProductRoot :: (Field.C a) => T a -> T a -> Root.T a-scalarProductRoot f g =- integrateRoot (multiply f g)---norm1Root :: (Field.C a) => T a -> Root.T a-norm1Root = integrateRoot--norm2Root :: (Field.C a) => T a -> Root.T a-norm2Root f =- Root.sqrt $- Root.fromNumber (amp f)- `Root.div`- Root.sqrt (Root.fromNumber $ 2 * c f)--normInfRoot :: (Field.C a) => T a -> Root.T a-normInfRoot f =- Root.sqrt $ Root.fromNumber $ amp f--normPRoot :: (Field.C a) => Rational -> T a -> Root.T a-normPRoot p f =- Root.sqrt (Root.fromNumber (amp f))- `Root.div`- Root.rationalPower (recip (2*p)) (Root.fromNumber (fromRational' p * c f))---norm1 :: (Algebraic.C a) => T a -> a-norm1 f =- sqrt $ amp f / c f--norm2 :: (Algebraic.C a) => T a -> a-norm2 f =- sqrt $ amp f / (sqrt $ 2 * c f)--normInf :: (Algebraic.C a) => T a -> a-normInf f =- sqrt (amp f)--normP :: (Trans.C a) => a -> T a -> a-normP p f =- sqrt (amp f) * (p * c f) ^? (- recip (2*p))---variance :: (Trans.C a) =>- T a -> a-variance f =- recip $ c f * 2*pi--multiply :: (Ring.C a) =>- T a -> T a -> T a-multiply f g =- Cons (amp f * amp g) (c f + c g)--powerRing :: (Trans.C a) =>- Integer -> T a -> T a-powerRing p f =- Cons (amp f ^ p) (fromInteger p * c f)--{--powerField does not makes sense,-since the reciprocal of a Gaussian diverges.--}--powerAlgebraic :: (Trans.C a) =>- Rational -> T a -> T a-powerAlgebraic p f =- Cons (amp f ^/ p) (fromRational' p * c f)--powerTranscendental :: (Trans.C a) =>- a -> T a -> T a-powerTranscendental p f =- Cons (amp f ^? p) (p * c f)--{- |-> convolve x y t =-> integrate $ \s -> x s * y(t-s)--Convergence only for @c f + c g > 0@.--}-convolve :: (Field.C a) =>- T a -> T a -> T a-convolve f g =- let s = c f + c g- in Cons- (amp f * amp g / s)- (c f * c g / s)--{- |-> fourier x f =-> integrate $ \t -> x t * cis (-2*pi*t*f)--Convergence only for @c f > 0@.--}-fourier :: (Field.C a) =>- T a -> T a-fourier f =- Cons (amp f / c f) (recip $ c f)-{--fourier (t -> exp(-(a*t)^2))--}--dilate :: (Field.C a) => a -> T a -> T a-dilate k f =- Cons (amp f) $ c f / k^2--shrink :: (Ring.C a) => a -> T a -> T a-shrink k f =- Cons (amp f) $ c f * k^2--{- |-@amplify k@ scales by @abs k@!--}-amplify :: (Ring.C a) => a -> T a -> T a-amplify k f =- Cons (k^2 * amp f) $ c f---{- laws-fourier (convolve f g) = multiply (fourier f) (fourier g)--dilate k (dilate m f) = dilate (k*m) f--dilate k (shrink k f) = f--variance (dilate k f) = k^2 * variance f--variance (convolve f g) = variance f + variance g--}
− src-ghc-6.12/MathObj/LaurentPolynomial.hs
@@ -1,288 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Henning Thielemann 2004-2006--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Polynomials with negative and positive exponents.--}-module MathObj.LaurentPolynomial where--import qualified MathObj.Polynomial as Poly-import qualified MathObj.PowerSeries as PS-import qualified MathObj.PowerSeries.Core as PSCore--import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Number.Complex as Complex--import Algebra.Module((*>))--import qualified NumericPrelude.Base as P-import qualified NumericPrelude.Numeric as NP--import NumericPrelude.Base hiding (const, reverse, )-import NumericPrelude.Numeric hiding (div, negate, )--import qualified Data.List as List-import Data.List.HT (mapAdjacent)---{- | Polynomial including negative exponents -}--data T a = Cons {expon :: Int, coeffs :: [a]}---{- * Basic Operations -}--const :: a -> T a-const x = fromCoeffs [x]--(!) :: Additive.C a => T a -> Int -> a-(!) (Cons xt x) n =- if n<xt- then zero- else head (drop (n-xt) x ++ [zero])--fromCoeffs :: [a] -> T a-fromCoeffs = fromShiftCoeffs 0--fromShiftCoeffs :: Int -> [a] -> T a-fromShiftCoeffs = Cons--fromPolynomial :: Poly.T a -> T a-fromPolynomial = fromCoeffs . Poly.coeffs--fromPowerSeries :: PS.T a -> T a-fromPowerSeries = fromCoeffs . PS.coeffs--bounds :: T a -> (Int, Int)-bounds (Cons xt x) = (xt, xt + length x - 1)--shift :: Int -> T a -> T a-shift t (Cons xt x) = Cons (xt+t) x--{-# DEPRECATED translate "In order to avoid confusion with Polynomial.translate, use 'shift' instead" #-}-translate :: Int -> T a -> T a-translate = shift---instance Functor T where- fmap f (Cons xt xs) = Cons xt (map f xs)---{- * Show -}--appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons xt xs) =- showParen (p >= appPrec)- (showString "LaurentPolynomial.Cons " . shows xt .- showString " " . shows xs)--{- * Additive -}--add :: Additive.C a => T a -> T a -> T a-add (Cons _ []) y = y-add x (Cons _ []) = x-add (Cons xt x) (Cons yt y) =- if xt < yt- then Cons xt (addShifted (yt-xt) x y)- else Cons yt (addShifted (xt-yt) y x)--{--Compute the value of a series of Laurent polynomials.--Requires that the start exponents constitute a (weakly) rising sequence,-where each exponent occurs only finitely often.--Cf. Synthesizer.Cut.arrange--}-series :: (Additive.C a) => [T a] -> T a-series [] = fromCoeffs []-series ps =- let es = map expon ps- xs = map coeffs ps- ds = mapAdjacent subtract es- in Cons (head es) (addShiftedMany ds xs)--{- |-Add lists of numbers respecting a relative shift between the starts of the lists.-The shifts must be non-negative.-The list of relative shifts is one element shorter-than the list of summands.-Infinitely many summands are permitted,-provided that runs of zero shifts are all finite.---We could add the lists either with 'foldl' or with 'foldr',-'foldl' would be straightforward, but more time consuming (quadratic time)-whereas foldr is not so obvious but needs only linear time.--(stars denote the coefficients,- frames denote what is contained in the interim results)-'foldl' sums this way:--> | | | *******************************-> | | +---------------------------------> | | ************************-> | +-----------------------------------> | ************-> +--------------------------------------I.e. 'foldl' would use much time find the time differences-by successive subtraction 1.--'foldr' mixes this way:--> +---------------------------------> | *******************************-> | +--------------------------> | | ************************-> | | +--------------> | | | ************---}-addShiftedMany :: (Additive.C a) => [Int] -> [[a]] -> [a]-addShiftedMany ds xss =- foldr (uncurry addShifted) [] (zip (ds++[0]) xss)----addShifted :: Additive.C a => Int -> [a] -> [a] -> [a]-addShifted del px py =- let recurse 0 x = PSCore.add x py- recurse d [] = replicate d zero ++ py- recurse d (x:xs) = x : recurse (d-1) xs- in if del >= 0- then recurse del px- else error "LaurentPolynomial.addShifted: negative shift"---negate :: Additive.C a => T a -> T a-negate (Cons xt x) = Cons xt (map NP.negate x)--sub :: Additive.C a => T a -> T a -> T a-sub x y = add x (negate y)--instance Additive.C a => Additive.C (T a) where- zero = fromCoeffs []- (+) = add- (-) = sub- negate = negate---{- * Module -}--instance Vector.C T where- zero = zero- (<+>) = (+)- (*>) = Vector.functorScale--instance (Module.C a b) => Module.C a (T b) where- x *> Cons yt ys = Cons yt (x *> ys)--instance (Field.C a, Module.C a b) => VectorSpace.C a (T b)---{- * Ring -}--mul :: Ring.C a => T a -> T a -> T a-mul (Cons xt x) (Cons yt y) = Cons (xt+yt) (PSCore.mul x y)--instance (Ring.C a) => Ring.C (T a) where- one = const one- fromInteger n = const (fromInteger n)- (*) = mul---{- * Field.C -}--div :: (Field.C a, ZeroTestable.C a) => T a -> T a -> T a-div (Cons xt xs) (Cons yt ys) =- let (xzero,x) = span isZero xs- (yzero,y) = span isZero ys- in Cons (xt - yt + length xzero - length yzero)- (PSCore.divide x y)--instance (Field.C a, ZeroTestable.C a) => Field.C (T a) where- (/) = div--divExample :: T NP.Rational-divExample = div (Cons 1 [0,0,1,2,1]) (Cons 1 [0,0,0,1,1])-----{- * Comparisons -}--{- |-Two polynomials may be stored differently.-This function checks whether two values of type @LaurentPolynomial@-actually represent the same polynomial.--}-equivalent :: (Eq a, ZeroTestable.C a) => T a -> T a -> Bool-equivalent xs ys =- let (Cons xt x, Cons yt y) =- if expon xs <= expon ys- then (xs,ys)- else (ys,xs)- (xPref, xSuf) = splitAt (yt-xt) x- aux (a:as) (b:bs) = a == b && aux as bs- aux [] bs = all isZero bs- aux as [] = all isZero as- in all isZero xPref && aux xSuf y--instance (Eq a, ZeroTestable.C a) => Eq (T a) where- (==) = equivalent---identical :: (Eq a) => T a -> T a -> Bool-identical (Cons xt xs) (Cons yt ys) =- xt==yt && xs == ys---{- |-Check whether a Laurent polynomial has only the absolute term,-that is, it represents the constant polynomial.--}-isAbsolute :: (ZeroTestable.C a) => T a -> Bool-isAbsolute (Cons xt x) =- and (zipWith (\i xi -> isZero xi || i==0) [xt..] x)----{- * Transformations of arguments -}--{- | p(z) -> p(-z) -}-alternate :: Additive.C a => T a -> T a-alternate (Cons xt x) =- Cons xt (zipWith id (drop (mod xt 2) (cycle [id,NP.negate])) x)--{- | p(z) -> p(1\/z) -}-reverse :: T a -> T a-reverse (Cons xt x) =- Cons (1 - xt - length x) (List.reverse x)--{- |-p(exp(i·x)) -> conjugate(p(exp(i·x)))--If you interpret @(p*)@ as a linear operator on the space of Laurent polynomials,-then @(adjoint p *)@ is the adjoint operator.--}-adjoint :: Additive.C a => T (Complex.T a) -> T (Complex.T a)-adjoint x =- let (Cons yt y) = reverse x- in (Cons yt (map Complex.conjugate y))
− src-ghc-6.12/MathObj/Matrix.hs
@@ -1,278 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Henning Thielemann 2009, Mikael Johansson 2006-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Routines and abstractions for Matrices and-basic linear algebra over fields or rings.--We stick to simple Int indices.-Although advanced indices would be nice-e.g. for matrices with sub-matrices,-this is not easily implemented since arrays-do only support a lower and an upper bound-but no additional parameters.--ToDo:- - Matrix inverse, determinant--}--module MathObj.Matrix (- T, Dimension,- format,- transpose,- rows,- columns,- index,- fromRows,- fromColumns,- fromList,- dimension,- numRows,- numColumns,- zipWith,- zero,- one,- diagonal,- scale,- random,- randomR,- ) where--import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import Algebra.Module((*>), )-import Algebra.Ring((*), fromInteger, scalarProduct, )-import Algebra.Additive((+), (-), subtract, )--import qualified System.Random as Rnd-import Data.Array (Array, array, listArray, accumArray, elems, bounds, (!), ixmap, range, )-import qualified Data.List as List--import Control.Monad (liftM2, )-import Control.Exception (assert, )--import Data.Function.HT (powerAssociative, )-import Data.Tuple.HT (swap, mapFst, )-import Data.List.HT (outerProduct, )-import Text.Show.HT (concatS, )--import NumericPrelude.Numeric (Int, )-import NumericPrelude.Base hiding (zipWith, )---{- |-A matrix is a twodimensional array, indexed by integers.--}-data T a =- Cons (Array (Dimension, Dimension) a)- deriving (Eq,Ord,Read)--type Dimension = Int--{- |-Transposition of matrices is just transposition in the sense of Data.List.--}-transpose :: T a -> T a-transpose (Cons m) =- let (lower,upper) = bounds m- in Cons (ixmap (swap lower, swap upper) swap m)--rows :: T a -> [[a]]-rows mM@(Cons m) =- let ((lr,lc), (ur,uc)) = bounds m- in outerProduct (index mM) (range (lr,ur)) (range (lc,uc))--columns :: T a -> [[a]]-columns mM@(Cons m) =- let ((lr,lc), (ur,uc)) = bounds m- in outerProduct (flip (index mM)) (range (lc,uc)) (range (lr,ur))--index :: T a -> Dimension -> Dimension -> a-index (Cons m) i j = m ! (i,j)--fromRows :: Dimension -> Dimension -> [[a]] -> T a-fromRows m n =- Cons .- array (indexBounds m n) .- concat .- List.zipWith (\r -> map (\(c,x) -> ((r,c),x))) allIndices .- map (zip allIndices)--fromColumns :: Dimension -> Dimension -> [[a]] -> T a-fromColumns m n =- Cons .- array (indexBounds m n) .- concat .- List.zipWith (\r -> map (\(c,x) -> ((c,r),x))) allIndices .- map (zip allIndices)--fromList :: Dimension -> Dimension -> [a] -> T a-fromList m n xs = Cons (listArray (indexBounds m n) xs)--appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p m =- showParen (p >= appPrec)- (showString "Matrix.fromRows " . showsPrec appPrec (rows m))--format :: (Show a) => T a -> String-format m = formatS m ""--formatS :: (Show a) => T a -> ShowS-formatS =- concatS .- map (\r -> showString "(" . concatS r . showString ")\n") .- map (List.intersperse (' ':) . map (showsPrec 11)) .- rows--dimension :: T a -> (Dimension,Dimension)-dimension (Cons m) = uncurry subtract (bounds m) + (1,1)--numRows :: T a -> Dimension-numRows = fst . dimension--numColumns :: T a -> Dimension-numColumns = snd . dimension---- These implementations may benefit from a better exception than--- just assertions to validate dimensionalities-instance (Additive.C a) => Additive.C (T a) where- (+) = zipWith (+)- (-) = zipWith (-)- zero = zero 1 1--zipWith :: (a -> b -> c) -> T a -> T b -> T c-zipWith op mM@(Cons m) nM@(Cons n) =- let d = dimension mM- em = elems m- en = elems n- in assert (d == dimension nM) $- uncurry fromList d (List.zipWith op em en)--zero :: (Additive.C a) => Dimension -> Dimension -> T a-zero m n =- fromList m n $- List.repeat Additive.zero--- List.replicate (fromInteger (m*n)) zero--one :: (Ring.C a) => Dimension -> T a-one n =- Cons $- accumArray (flip const) Additive.zero- (indexBounds n n)- (map (\i -> ((i,i), Ring.one)) (indexRange n))--diagonal :: (Additive.C a) => [a] -> T a-diagonal xs =- let n = List.length xs- in Cons $- accumArray (flip const) Additive.zero- (indexBounds n n)- (zip (map (\i -> (i,i)) allIndices) xs)--scale :: (Ring.C a) => a -> T a -> T a-scale s = Vector.functorScale s--instance (Ring.C a) => Ring.C (T a) where- mM * nM =- assert (numColumns mM == numRows nM) $- fromList (numRows mM) (numColumns nM) $- liftM2 scalarProduct (rows mM) (columns nM)- fromInteger n = fromList 1 1 [fromInteger n]- mM ^ n =- assert (numColumns mM == numRows mM) $- assert (n >= Additive.zero) $- powerAssociative (*) (one (numColumns mM)) mM n--instance Functor T where- fmap f (Cons m) = Cons (fmap f m)--instance Vector.C T where- zero = Additive.zero- (<+>) = (+)- (*>) = scale--instance Module.C a b => Module.C a (T b) where- x *> m = fmap (x*>) m---random :: (Rnd.RandomGen g, Rnd.Random a) =>- Dimension -> Dimension -> g -> (T a, g)-random =- randomAux Rnd.random--randomR :: (Rnd.RandomGen g, Rnd.Random a) =>- Dimension -> Dimension -> (a,a) -> g -> (T a, g)-randomR m n rng =- randomAux (Rnd.randomR rng) m n--{--could be made nicer with the State monad,-but I like to keep dependencies minimal--}-randomAux :: (Rnd.RandomGen g, Rnd.Random a) =>- (g -> (a,g)) -> Dimension -> Dimension -> g -> (T a, g)-randomAux rnd m n g0 =- mapFst (fromList m n) $ swap $- List.mapAccumL (\g _i -> swap $ rnd g) g0 (indexRange (m*n))--{--What more do we need from our matrix type? We have addition,-subtraction and multiplication, and thus composition of generic-free-module-maps. We're going to want to solve linear equations with-or without fields underneath, so we're going to want an implementation-of the Gaussian algorithm as well as most probably Smith normal-form. Determinants are cool, and these are to be calculated either-with the Gaussian algorithm or some other goodish method.--}--{--{- |- We'll want generic linear equation solving, returning one solution,-any solution really, or nothing. Basically, this is asking for the-preimage of a given vector over the given map, so--a_11 x_1 + .. + a_1n x_n = y_1- ...-a_m1 x_1 + .. + a_mn a_n = y_m--has really x_1,...,x_n as a preimage of the vector y_1,..,y_m under-the map (a_ij), since obviously y_1,..,y_m = (a_ij) x_1,..,x_n--So, generic linear equation solving boils down to the function--}-preimage :: (Ring.C a) => T a -> T a -> Maybe (T a)-preimage a y = assert- (numRows a == numRows y && -- they match- numColumns y == 1) -- and y is a column vector- Nothing--}--{--Cf. /usr/lib/hugs/demos/Matrix.hs--}----- these functions control whether we use 0 or 1 based indices--indexRange :: Dimension -> [Dimension]-indexRange n = [0..(n-1)]--indexBounds ::- Dimension -> Dimension ->- ((Dimension,Dimension), (Dimension,Dimension))-indexBounds m n =- ((0,0), (m-1,n-1))--allIndices :: [Dimension]-allIndices = [0..]
− src-ghc-6.12/MathObj/Monoid.hs
@@ -1,56 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module MathObj.Monoid where--import qualified Algebra.PrincipalIdealDomain as PID--import Algebra.PrincipalIdealDomain (gcd, lcm, )-import Algebra.Additive (zero, )-import Algebra.Monoid (C, idt, (<*>), )--import NumericPrelude.Base--{- |-It is only a monoid for non-negative numbers.--> idt <*> GCD (-2) = GCD 2--Thus, use this Monoid only for non-negative numbers!--}-newtype GCD a = GCD {runGCD :: a}- deriving (Show, Eq)--instance PID.C a => C (GCD a) where- idt = GCD zero- (GCD x) <*> (GCD y) = GCD (gcd x y)---newtype LCM a = LCM {runLCM :: a}- deriving (Show, Eq)--instance PID.C a => C (LCM a) where- idt = LCM zero- (LCM x) <*> (LCM y) = LCM (lcm x y)---{- |-@Nothing@ is the largest element.--}-newtype Min a = Min {runMin :: Maybe a}- deriving (Show, Eq)--instance Ord a => C (Min a) where- idt = Min Nothing- (Min x) <*> (Min y) = Min $- maybe y (\x' -> maybe x (Just . min x') y) x---{- |-@Nothing@ is the smallest element.--}-newtype Max a = Max {runMax :: Maybe a}- deriving (Show, Eq)--instance Ord a => C (Max a) where- idt = Max Nothing- (Max x) <*> (Max y) = Max $- maybe y (\x' -> maybe x (Just . max x') y) x
− src-ghc-6.12/MathObj/PartialFraction.hs
@@ -1,399 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2007-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Implementation of partial fractions.-Useful e.g. for fractions of integers and fractions of polynomials.--For the considered ring the prime factorization must be unique.--}--module MathObj.PartialFraction where--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.IntegralDomain as Integral-import qualified Number.Ratio as Ratio-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Indexable as Indexable--import Number.Ratio((%))-import Algebra.IntegralDomain(divMod, divModZero, decomposeVarPositionalInf)-import Algebra.Units(stdAssociate, stdUnitInv)-import Algebra.Field((/))-import Algebra.Ring((*), one, product)-import Algebra.Additive((+), zero, negate)-import Algebra.ZeroTestable (isZero)--import qualified Data.List as List--import Data.Map(Map)-import qualified Data.Map as Map-import Data.Maybe(fromMaybe, )-import qualified Data.List.Match as Match-import Data.List.HT (dropWhileRev, )-import Data.List (group, sortBy, mapAccumR, )--import NumericPrelude.Base hiding (zipWith)--import NumericPrelude.Numeric(Int, fromInteger)----{- |-@Cons z (indexMapFromList [(x0,[y00,y01]), (x1,[y10]), (x2,[y20,y21,y22])])@-represents the partial fraction-@z + y00/x0 + y01/x0^2 + y10/x1 + y20/x2 + y21/x2^2 + y22/x2^3@-The denominators @x0, x1, x2, ...@ must be irreducible,-but we can't check this in general.-It is also not enough to have relatively prime denominators,-because when adding two partial fraction representations-there might concur denominators that have non-trivial common divisors.--}-data T a =- Cons a (Map (Indexable.ToOrd a) [a])- deriving (Eq)--{- |-Unchecked construction.--}-fromFractionSum :: (Indexable.C a) => a -> [(a,[a])] -> T a-fromFractionSum z m =- Cons z (indexMapFromList m)--toFractionSum :: (Indexable.C a) => T a -> (a, [(a,[a])])-toFractionSum (Cons z m) =- (z, indexMapToList m)--appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons z m) =- showParen (p >= appPrec)- (showString "PartialFraction.fromFractionSum " .- showsPrec (succ appPrec) z . showString " " .- shows (indexMapToList m))---toFraction :: PID.C a => T a -> Ratio.T a-toFraction (Cons z m) =- let fracs = map (uncurry multiToFraction) (indexMapToList m)- in foldl (+) (Ratio.fromValue z) fracs--{- |-'PrincipalIdealDomain.C' is not really necessary here and-only due to invokation of 'toFraction'.--}-toFactoredFraction :: (PID.C a) => T a -> ([a], a)-toFactoredFraction x@(Cons _ m) =- let r = toFraction x- denoms = concat $ Map.elems $ indexMapMapWithKey (flip Match.replicate) m- numer = foldl (flip Ratio.scale) r denoms- {- From the theory it must be Ratio.denominator denom==1.- We could check this dynamically, if there would be an Eq instance.- We could omit this completely,- if we would reimplement Ratio addition. -}- in (denoms, Ratio.numerator numer)--{- |-'PrincipalIdealDomain.C' is not really necessary here and-only due to invokation of 'Ratio.%'.--}-multiToFraction :: PID.C a => a -> [a] -> Ratio.T a-multiToFraction denom =- foldr (\numer acc ->- (Ratio.fromValue numer + acc) / Ratio.fromValue denom) zero--hornerRev :: Ring.C a => a -> [a] -> a-hornerRev x = foldl (\val c -> val*x+c) zero---{- |-@fromFactoredFraction x y@-computes the partial fraction representation of @y % product x@,-where the elements of @x@ must be irreducible.-The function transforms the factors into their standard form-with respect to unit factors.--There are more direct methods for special cases-like polynomials over rational numbers-where the denominators are linear factors.--}-fromFactoredFraction :: (PID.C a, Indexable.C a) => [a] -> a -> T a-fromFactoredFraction denoms0 numer0 =- let denoms = group $ sortBy Indexable.compare $ map stdAssociate denoms0- numer = foldl (*) numer0 $ map stdUnitInv denoms0- denomPowers = map product denoms- {- since the sub-lists contain the same value,- the products are powers,- which could be computed more efficiently -}- partProdLeft = scanl (*) one denomPowers- (prod:partProdRight) = scanr (*) one denomPowers- (intPart,numerRed) = divMod numer prod- facs = List.zipWith (*) partProdLeft partProdRight- numers =- fromMaybe- (error $ "PartialFraction.fromFactoredFraction: " ++- "denominators must be relatively prime")- (PID.diophantineMulti numerRed facs)- pairs = List.zipWith multiFromFraction denoms numers- -- Is reduceHeads also necessary for polynomial partial fractions?- in removeZeros $ reduceHeads $ Cons intPart (indexMapFromList pairs)--fromFactoredFractionAlt :: (PID.C a, Indexable.C a) => [a] -> a -> T a-fromFactoredFractionAlt denoms numer =- foldl (\p d -> scaleFrac (one%d) p) (fromValue numer) denoms--{- |-The list of denominators must contain equal elements.-Sorry for this hack.--}-multiFromFraction :: PID.C a => [a] -> a -> (a,[a])-multiFromFraction (d:ds) n =- (d, reverse $ decomposeVarPositionalInf ds n)-multiFromFraction [] _ =- error "PartialFraction.multiFromFraction: there must be one denominator"--fromValue :: a -> T a-fromValue x = Cons x Map.empty---{- |-A normalization step which separates the integer part-from the leading fraction of each sub-list.--}-reduceHeads :: Integral.C a => T a -> T a-reduceHeads (Cons z m0) =- let m1 = indexMapMapWithKey (\x (y:ys) -> let (q,r) = divMod y x in (q,r:ys)) m0- in Cons- (foldl (+) z (map fst $ Map.elems m1))- (fmap snd m1)--{- |-Cf. Number.Positional--}-carryRipple :: Integral.C a => a -> [a] -> (a,[a])-carryRipple b =- mapAccumR (\carry y -> divMod (y+carry) b) zero---{- |-A normalization step which reduces all elements in sub-lists-modulo their denominators.-Zeros might be the result, that must be remove with 'removeZeros'.--}-normalizeModulo :: Integral.C a => T a -> T a-normalizeModulo (Cons z0 m0) =- let m1 = indexMapMapWithKey carryRipple m0- -- would be nice to have a Map.unzip function- ints = Map.elems $ fmap fst m1- in Cons (foldl (+) z0 ints) (fmap snd m1)----{- |-Remove trailing zeros in sub-lists-because if lists are converted to fractions by 'multiToFraction'-we must be sure that the denominator of the (cancelled) fraction-is indeed the stored power of the irreducible denominator.-Otherwise 'mulFrac' leads to wrong results.--}-removeZeros :: (Indexable.C a, ZeroTestable.C a) => T a -> T a-removeZeros (Cons z m) =- Cons z $- Map.filter (not . null) $- Map.map (dropWhileRev isZero) m---{--instance Functor (T a) where- fmap f (Cons x) = Cons (fmap f x)--}--zipWith :: (Indexable.C a) => (a -> a -> a) -> ([a] -> [a] -> [a]) ->- (T a -> T a -> T a)-zipWith opS opV (Cons za ma) (Cons zb mb) =- Cons (opS za zb) (Map.unionWith opV ma mb)--instance (Indexable.C a, Integral.C a, ZeroTestable.C a) => Additive.C (T a) where- a + b = removeZeros $ normalizeModulo $ zipWith (+) (+) a b- {- This implementation is attracting but wrong.- It fails if terms are present in b that are missing in a.- Default implementation is better here.- a - b = removeZeros $ normalizeModulo $ zipWith (-) (-) a b- -}- negate (Cons z m) = Cons (negate z) (fmap negate m)- zero = fromValue zero--{- |-Transforms a product of two partial fractions-into a sum of two fractions.-The denominators must be at least relatively prime.-Since 'T' requires irreducible denominators,-these are also relatively prime.--Example: @mulFrac (1%6) (1%4)@ fails because of the common divisor @2@.--}-mulFrac :: (PID.C a) => Ratio.T a -> Ratio.T a -> (a, a)-mulFrac x y =- let dx = Ratio.denominator x- dy = Ratio.denominator y- in fromMaybe- (error "PartialFraction.mulFrac: denominators must be relatively prime")- (PID.diophantine (Ratio.numerator x * Ratio.numerator y) dy dx)--{--nx/dx * ny/dy = a/dx + b/dy-nx*ny = a*dy + b*dx--}--mulFrac' :: (PID.C a) => Ratio.T a -> Ratio.T a -> (Ratio.T a, Ratio.T a)-mulFrac' x y =- let (na,nb) = mulFrac x y- in (na % Ratio.denominator x, nb % Ratio.denominator y)--{--Also works if the operands share a non-trivial divisor.--mulFracOverlap :: (PID.C a) =>- Ratio.T a -> Ratio.T a -> ((Ratio.T a, Ratio.T a), Ratio.T a)-mulFracOverlap x y =- let dx = Ratio.denominator x- dy = Ratio.denominator y- (g,(a0,b0)) = extendedGCD dy dx- (q,r) = divModZero (Ratio.numerator x * Ratio.numerator y) g- in if (isZero r)- then ((q*a, q*b), zero)- else- let fx = divChecked dx g- fy = divChecked dy g- (g,(k,c)) = extendedGCD (g^2) (fx*fy)--given dx=fx*g and dy=fy*g with fx and fy are relatively prime:-nx/(g*fx) * ny/(g*fy) = a/fx + b/fy + c/g^2-nx*ny = a*fy*g^2 + b*fx*g^2 + c*fx*fy- = a*dy*g + b*dx*g + c*fx*fy-a0*dy + b0*dx = g-a=a0*k-b=b0*k--This approach does still fail on 1%2 * 1%4.--}--{- |-Works always but simply puts the product into the last fraction.--}-mulFracStupid :: (PID.C a) =>- Ratio.T a -> Ratio.T a -> ((Ratio.T a, Ratio.T a), Ratio.T a)-mulFracStupid x y =- let dx = Ratio.denominator x- dy = Ratio.denominator y- [a,b,c] =- fromMaybe- (error "PartialFraction.mulFracOverlap: (gcd 1 x) must always be a unit")- (PID.diophantineMulti- (Ratio.numerator x * Ratio.numerator y) [dy, dx, one])- in ((a % dx, b % dy), c%(dx*dy))--{- |-Also works if the operands share a non-trivial divisor.-However the results are quite arbitrary.--}-mulFracOverlap :: (PID.C a) =>- Ratio.T a -> Ratio.T a -> ((Ratio.T a, Ratio.T a), Ratio.T a)-mulFracOverlap x y =- let dx = Ratio.denominator x- dy = Ratio.denominator y- nx = Ratio.numerator x- ny = Ratio.numerator y- (g,(a,b)) = PID.extendedGCD dy dx- (q,r) = divModZero (nx*ny) g- in (((q*a)%dx, (q*b)%dy), r%(dx*dy))---{- |-Expects an irreducible denominator as associate in standard form.--}-scaleFrac :: (PID.C a, Indexable.C a) => Ratio.T a -> T a -> T a-scaleFrac s (Cons z0 m) =- let ns = Ratio.numerator s- ds = Ratio.denominator s- dsOrd = Indexable.toOrd ds- -- (z,zr) = Ratio.split (Ratio.scale z0 s)- (z,zr) = divMod (z0*ns) ds- scaleFracs =- (\(scs,fracs) ->- Map.insert dsOrd [foldl (+) zr scs] $- indexMapFromList $- map (uncurry multiFromFraction) fracs) .- unzip .- map (\(dis,r) ->- let (sc,rc) = mulFrac s r- in (sc, (dis, rc))) .- Map.elems .- indexMapMapWithKey- (\d l -> (Match.replicate l d, multiToFraction d l))- in removeZeros $ reduceHeads $ Cons z- (mapApplySplit dsOrd (+)- (uncurry (:) . carryRipple ds . map (ns*))- scaleFracs m)--scaleInt :: (PID.C a, Indexable.C a) => a -> T a -> T a-scaleInt x (Cons z m) =- removeZeros $ normalizeModulo $- Cons (x*z) (Map.map (map (x*)) m)---mul :: (PID.C a, Indexable.C a) => T a -> T a -> T a-mul (Cons z m) a =- foldl- (+) (scaleInt z a)- (map (\(d,l) ->- -- cf. to multiToFraction- foldr (\numer acc ->- scaleFrac (one%d) (scaleInt numer a + acc)) zero l)- (indexMapToList m))--mulFast :: (PID.C a, Indexable.C a) => T a -> T a -> T a-mulFast pa pb =- let ra = toFactoredFraction pa- rb = toFactoredFraction pb- in fromFactoredFraction (fst ra ++ fst rb) (snd ra * snd rb)---instance (PID.C a, Indexable.C a) => Ring.C (T a) where- one = fromValue one- (*) = mulFast---{- * Helper functions for work with Maps with Indexable keys -}--indexMapMapWithKey :: (a -> b -> c)- -> Map (Indexable.ToOrd a) b- -> Map (Indexable.ToOrd a) c-indexMapMapWithKey f = Map.mapWithKey (f . Indexable.fromOrd)--indexMapToList :: Map (Indexable.ToOrd a) b -> [(a, b)]-indexMapToList = map (\(k,e) -> (Indexable.fromOrd k, e)) . Map.toList--indexMapFromList :: Indexable.C a => [(a, b)] -> Map (Indexable.ToOrd a) b-indexMapFromList = Map.fromList . map (\(k,e) -> (Indexable.toOrd k, e))--{- |-Apply a function on a specific element if it exists,-and another function to the rest of the map.--}-mapApplySplit :: Ord a =>- a -> (c -> c -> c) -> - (b -> c) -> (Map a b -> Map a c) -> Map a b -> Map a c-mapApplySplit key addOp f g m =- maybe- (g m)- (\x -> Map.insertWith addOp key (f x) $ g (Map.delete key m))- (Map.lookup key m)-
− src-ghc-6.12/MathObj/Permutation.hs
@@ -1,32 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2006-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability :--Routines and abstractions for permutations of Integers.--***-Seems to be a candidate for Algebra directory.-Algebra.PermutationGroup ?--}--module MathObj.Permutation where--import Data.Array(Ix)---- import NumericPrelude.Numeric (Integer)--- import NumericPrelude.Base---{- |-There are quite a few way we could represent elements of permutation-groups: the images in a row, a list of the cycles, et.c. All of these-differ highly in how complex various operations end up being.--}--class C p where- domain :: (Ix i) => p i -> (i, i)- apply :: (Ix i) => p i -> i -> i- inverse :: (Ix i) => p i -> p i
− src-ghc-6.12/MathObj/Permutation/CycleList.hs
@@ -1,103 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Mikael Johansson 2006-Maintainer : mik@math.uni-jena.de-Stability : provisional-Portability : requires multi-parameter type classes--Permutation of Integers represented by cycles.--}--module MathObj.Permutation.CycleList where--import Data.Set(Set)-import qualified Data.Set as Set--import Data.List (unfoldr)-import Data.Array(Ix)-import qualified Data.Array as Array--import qualified Data.List.Match as Match-import Data.Maybe.HT (toMaybe)-import NumericPrelude.Numeric (fromInteger)-import NumericPrelude.Base---type Cycle i = [i]-type T i = [Cycle i]----fromFunction :: (Ix i) =>- (i, i) -> (i -> i) -> T i-fromFunction rng f =- let extractCycle available =- do el <- choose available- let orb = orbit f el- return (orb, Set.difference available (Set.fromList orb))- cycles = unfoldr extractCycle (Set.fromList (Array.range rng))- in keepEssentials cycles------ right action of a cycle-cycleRightAction :: (Eq i) => i -> Cycle i -> i-x `cycleRightAction` c = cycleAction c x---- left action of a cycle-cycleLeftAction :: (Eq i) => Cycle i -> i -> i-c `cycleLeftAction` x = cycleAction (reverse c) x--cycleAction :: (Eq i) => [i] -> i -> i-cycleAction cyc x =- case dropWhile (x/=) (cyc ++ [head cyc]) of- _:y:_ -> y- _ -> x---cycleOrbit :: (Ord i) => Cycle i -> i -> [i]-cycleOrbit cyc = orbit (flip cycleRightAction cyc)--{- |-Right (left?) group action on the Integers.-Close to, but not the same as the module action in Algebra.Module.--}-(*>) :: (Eq i) => T i -> i -> i-p *> x = foldr (flip cycleRightAction) x p--cyclesOrbit ::(Ord i) => T i -> i -> [i]-cyclesOrbit p = orbit (p *>)--orbit :: (Ord i) => (i -> i) -> i -> [i]-orbit op x0 = takeUntilRepetition (iterate op x0)---- | candidates for Utility ?-takeUntilRepetition :: Ord a => [a] -> [a]-takeUntilRepetition xs =- let accs = scanl (flip Set.insert) Set.empty xs- lenlist = takeWhile not (zipWith Set.member xs accs)- in Match.take lenlist xs--takeUntilRepetitionSlow :: Eq a => [a] -> [a]-takeUntilRepetitionSlow xs =- let accs = scanl (flip (:)) [] xs- lenlist = takeWhile not (zipWith elem xs accs)- in Match.take lenlist xs---{--Alternative to Data.Set.minView in GHC-6.6.--}-choose :: Set a -> Maybe a-choose set =- toMaybe (not (Set.null set)) (Set.findMin set)--keepEssentials :: T i -> T i-keepEssentials = filter isEssential---- is more lazy than (length cyc > 1)-isEssential :: Cycle i -> Bool-isEssential = not . null . drop 1--inverse :: T i -> T i-inverse = map reverse
− src-ghc-6.12/MathObj/Permutation/CycleList/Check.hs
@@ -1,125 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2006-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--}--module MathObj.Permutation.CycleList.Check where--import qualified MathObj.Permutation.CycleList as PermCycle-import qualified MathObj.Permutation.Table as PermTable-import qualified MathObj.Permutation as Perm--{--import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import Algebra.Ring((*),one,fromInteger)-import Algebra.Additive((+))--}-import Algebra.Monoid((<*>))-import qualified Algebra.Monoid as Monoid--import Data.Array((!), Ix)-import qualified Data.Array as Array---- import NumericPrelude.Numeric (Integer)-import NumericPrelude.Base hiding (cycle)--{- |-We shall make a little bit of a hack here, enabling us to use additive-or multiplicative syntax for groups as we wish by simply instantiating-Num with both operations corresponding to the group operation of the-permutation group we're studying--}--{- |-There are quite a few way we could represent elements of permutation-groups: the images in a row, a list of the cycles, et.c. All of these-differ highly in how complex various operations end up being.--}--newtype Cycle i = Cycle { cycle :: [i] } deriving (Read,Eq)-data T i = Cons { range :: (i, i), cycles :: [Cycle i] }--{- |-Does not check whether the input values are in range.--}-fromCycles :: (i, i) -> [[i]] -> T i-fromCycles rng = Cons rng . map Cycle--toCycles :: T i -> [[i]]-toCycles = map cycle . cycles--toTable :: (Ix i) => T i -> PermTable.T i-toTable x = PermTable.fromCycles (range x) (toCycles x)--fromTable :: (Ix i) => PermTable.T i -> T i-fromTable x =- let rng = Array.bounds x- in fromCycles rng (PermCycle.fromFunction rng (x!))---errIncompat :: a-errIncompat = error "Permutation.CycleList: Incompatible domains"--liftCmpTable2 :: (Ix i) =>- (PermTable.T i -> PermTable.T i -> a) -> T i -> T i -> a-liftCmpTable2 f x y =- if range x == range y- then f (toTable x) (toTable y)- else errIncompat--liftTable2 :: (Ix i) =>- (PermTable.T i -> PermTable.T i -> PermTable.T i) -> T i -> T i -> T i-liftTable2 f x y = fromTable (liftCmpTable2 f x y)---closure :: (Ix i) => [T i] -> [T i]-closure = map fromTable . PermTable.closure . map toTable---instance Perm.C T where- domain = range- apply p = ((toCycles p) PermCycle.*>)- inverse p = fromCycles (range p) (PermCycle.inverse (toCycles p))--instance Show i => Show (Cycle i) where- show c = "(" ++- (unwords $- map show $- cycle c) ++ ")"--instance Show i => Show (T i) where- show p =- case cycles p of- [] -> "Id"- cyc -> concatMap show cyc---{- |-These instances may need more work-They involve converting a permutation to a table.--}-instance Ix i => Eq (T i) where- (==) = liftCmpTable2 (==)--instance Ix i => Ord (T i) where- compare = liftCmpTable2 compare--{- Better: Group class and instances-instance Additive.C (T i) where- p + q = p * q- negate = inverse- zero = one--instance Ring.C (T i) where- (Cons op cp) * (Cons oq cq) = reduceCycles $- Cons (max op oq) (cp ++ cq)- one = Cons 1 []--}--instance Ix i => Monoid.C (T i) where- (<*>) = liftTable2 PermTable.compose- idt = error "There is no generic unit element"
− src-ghc-6.12/MathObj/Permutation/Table.hs
@@ -1,113 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2006-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability :--Permutation represented by an array of the images.--}--module MathObj.Permutation.Table where--import qualified MathObj.Permutation as Perm--import Data.Set(Set)-import qualified Data.Set as Set--import Data.Array(Array,(!),(//),Ix)-import qualified Data.Array as Array--import Data.List ((\\), nub, unfoldr, )--import Data.Tuple.HT (swap, )-import Data.Maybe.HT (toMaybe, )---- import NumericPrelude.Numeric (Integer)-import NumericPrelude.Base hiding (cycle)---type T i = Array i i---fromFunction :: (Ix i) =>- (i, i) -> (i -> i) -> T i-fromFunction rng f =- Array.listArray rng (map f (Array.range rng))--toFunction :: (Ix i) => T i -> (i -> i)-toFunction = (!)--{--Create a permutation in table form-from any other permutation representation.--}-fromPermutation :: (Ix i, Perm.C p) => p i -> T i-fromPermutation x =- let rng = Perm.domain x- in Array.listArray rng (map (Perm.apply x) (Array.range rng))--fromCycles :: (Ix i) => (i, i) -> [[i]] -> T i-fromCycles rng = foldl (flip cycle) (identity rng)---identity :: (Ix i) => (i, i) -> T i-identity rng = Array.listArray rng (Array.range rng)--cycle :: (Ix i) => [i] -> T i -> T i-cycle cyc p =- p // zipWith (\i j -> (j,p!i)) cyc (tail (cyc++cyc))--inverse :: (Ix i) => T i -> T i-inverse p =- let rng = Array.bounds p- in Array.array rng (map swap (Array.assocs p))--compose :: (Ix i) => T i -> T i -> T i-compose p q =- let pRng = Array.bounds p- qRng = Array.bounds q- in if pRng==qRng- then fmap (p!) q- else error "compose: ranges differ"--- ++ show pRng ++ " /= " ++ show qRng)---{- |-Extremely naïve algorithm-to generate a list of all elements in a group.-Should be replaced by a Schreier-Sims system-if this code is ever used for anything bigger than .. say ..-groups of order 512 or so.--}-{--Alternative to Data.Set.minView in GHC-6.6.--}-choose :: Set a -> Maybe (a, Set a)-choose set =- toMaybe (not (Set.null set)) (Set.deleteFindMin set)--closure :: (Ix i) => [T i] -> [T i]-closure [] = []-closure generators@(gen:_) =- let genSet = Set.fromList generators- idSet = Set.singleton (identity (Array.bounds gen))- generate (registered, candidates) =- do (cand, remCands) <- choose candidates- let newCands =- flip Set.difference registered $- Set.map (compose cand) genSet- return (cand, (Set.union registered newCands,- Set.union remCands newCands))- in unfoldr generate (idSet, idSet)--closureSlow :: (Ix i) => [T i] -> [T i]-closureSlow [] = []-closureSlow generators@(gen:_) =- let addElts grp [] = grp- addElts grp cands@(cand:remCands) =- let group' = grp ++ [cand]- newCands = map (compose cand) generators- cands' = nub (remCands ++ newCands) \\ (grp ++ cands)- in addElts group' cands'- in addElts [] [identity (Array.bounds gen)]
− src-ghc-6.12/MathObj/Polynomial.hs
@@ -1,309 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- |-Polynomials and rational functions in a single indeterminate.-Polynomials are represented by a list of coefficients.-All non-zero coefficients are listed, but there may be extra '0's at the end.--Usage:-Say you have the ring of 'Integer' numbers-and you want to add a transcendental element @x@,-that is an element, which does not allow for simplifications.-More precisely, for all positive integer exponents @n@-the power @x^n@ cannot be rewritten as a sum of powers with smaller exponents.-The element @x@ must be represented by the polynomial @[0,1]@.--In principle, you can have more than one transcendental element-by using polynomials whose coefficients are polynomials as well.-However, most algorithms on multi-variate polynomials-prefer a different (sparse) representation,-where the ordering of elements is not so fixed.--If you want division, you need "Number.Ratio"s-of polynomials with coefficients from a "Algebra.Field".--You can also compute with an algebraic element,-that is an element which satisfies an algebraic equation like-@x^3-x-1==0@.-Actually, powers of @x@ with exponents above @3@ can be simplified,-since it holds @x^3==x+1@.-You can perform these computations with "Number.ResidueClass" of polynomials,-where the divisor is the polynomial equation that determines @x@.-If the polynomial is irreducible-(in our case @x^3-x-1@ cannot be written as a non-trivial product)-then the residue classes also allow unrestricted division-(except by zero, of course).-That is, using residue classes of polynomials-you can work with roots of polynomial equations-without representing them by radicals-(powers with fractional exponents).-It is well-known, that roots of polynomials of degree above 4-may not be representable by radicals.--}--module MathObj.Polynomial- (T, fromCoeffs, coeffs, degree,- showsExpressionPrec, const,- evaluate, evaluateCoeffVector, evaluateArgVector,- collinear,- integrate,- compose, fromRoots, reverse,- translate, dilate, shrink, )-where--import qualified MathObj.Polynomial.Core as Core--import qualified Algebra.Differential as Differential-import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Field as Field-import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Units as Units-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Indexable as Indexable--import Algebra.Module((*>))-import Algebra.ZeroTestable(isZero)--import Control.Monad (liftM, )-import qualified Data.List as List--import Test.QuickCheck (Arbitrary(arbitrary))--import NumericPrelude.Base hiding (const, reverse, )-import NumericPrelude.Numeric--import qualified Prelude as P98---newtype T a = Cons {coeffs :: [a]}---{-# INLINE fromCoeffs #-}-fromCoeffs :: [a] -> T a-fromCoeffs = lift0--{-# INLINE lift0 #-}-lift0 :: [a] -> T a-lift0 = Cons--{-# INLINE lift1 #-}-lift1 :: ([a] -> [a]) -> (T a -> T a)-lift1 f (Cons x0) = Cons (f x0)--{-# INLINE lift2 #-}-lift2 :: ([a] -> [a] -> [a]) -> (T a -> T a -> T a)-lift2 f (Cons x0) (Cons x1) = Cons (f x0 x1)--degree :: (ZeroTestable.C a) => T a -> Maybe Int-degree x =- case Core.normalize (coeffs x) of- [] -> Nothing- (_:xs) -> Just $ length xs--{--Functor instance is e.g. useful for showing polynomials in residue rings.-@fmap (ResidueClass.concrete 7) (polynomial [1,4,4::ResidueClass.T Integer] * polynomial [1,5,6])@--}--instance Functor T where- fmap f (Cons xs) = Cons (map f xs)--{-# INLINE plusPrec #-}-{-# INLINE appPrec #-}-plusPrec, appPrec :: Int-plusPrec = 6-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons xs) =- showParen (p >= appPrec) (showString "Polynomial.fromCoeffs " . shows xs)--{-# INLINE showsExpressionPrec #-}-showsExpressionPrec :: (Show a, ZeroTestable.C a, Additive.C a) =>- Int -> String -> T a -> String -> String-showsExpressionPrec p var poly =- if isZero poly- then showString "0"- else- let terms = filter (not . isZero . fst)- (zip (coeffs poly) monomials)- monomials = id :- showString "*" . showString var :- map (\k -> showString "*" . showString var- . showString "^" . shows k)- [(2::Int)..]- showsTerm x showsMon = showsPrec (plusPrec+1) x . showsMon- in showParen (p > plusPrec)- (foldl (.) id $ List.intersperse (showString " + ") $- map (uncurry showsTerm) terms)---{-# INLINE evaluate #-}-evaluate :: Ring.C a => T a -> a -> a-evaluate (Cons y) x = Core.horner x y--{- |-Here the coefficients are vectors,-for example the coefficients are real and the coefficents are real vectors.--}-{-# INLINE evaluateCoeffVector #-}-evaluateCoeffVector :: Module.C a v => T v -> a -> v-evaluateCoeffVector (Cons y) x = Core.hornerCoeffVector x y--{- |-Here the argument is a vector,-for example the coefficients are complex numbers or square matrices-and the coefficents are reals.--}-{-# INLINE evaluateArgVector #-}-evaluateArgVector :: (Module.C a v, Ring.C v) => T a -> v -> v-evaluateArgVector (Cons y) x = Core.hornerArgVector x y--{- |-'compose' is the functional composition of polynomials.--It fulfills- @ eval x . eval y == eval (compose x y) @--}---- compose :: Module.C a b => T b -> T a -> T a--- compose (Cons x) y = Core.horner y (map const x)-{-# INLINE compose #-}-compose :: (Ring.C a) => T a -> T a -> T a-compose (Cons x) y = Core.horner y (map const x)--{-# INLINE const #-}-const :: a -> T a-const x = lift0 [x]---collinear :: (Eq a, Ring.C a) => T a -> T a -> Bool-collinear (Cons x) (Cons y) = Core.collinear x y---instance (Eq a, ZeroTestable.C a) => Eq (T a) where- (Cons x) == (Cons y) = Core.equal x y--instance (Indexable.C a, ZeroTestable.C a) => Indexable.C (T a) where- compare = Indexable.liftCompare coeffs--instance (ZeroTestable.C a) => ZeroTestable.C (T a) where- isZero (Cons x) = isZero x---instance (Additive.C a) => Additive.C (T a) where- (+) = lift2 Core.add- (-) = lift2 Core.sub- zero = lift0 []- negate = lift1 Core.negate---instance Vector.C T where- zero = zero- (<+>) = (+)- (*>) = Vector.functorScale--instance (Module.C a b) => Module.C a (T b) where- (*>) x = lift1 (x *>)--instance (Field.C a, Module.C a b) => VectorSpace.C a (T b)---instance (Ring.C a) => Ring.C (T a) where- one = const one- fromInteger = const . fromInteger- (*) = lift2 Core.mul---{- |-The 'Integral.C' instance is intensionally built-from the 'Field.C' structure of the polynomial coefficients.-If we would use @Integral.C a@ superclass,-then the Euclidean algorithm could not determine-the greatest common divisor of e.g. @[1,1]@ and @[2]@.--}-instance (ZeroTestable.C a, Field.C a) => Integral.C (T a) where- divMod (Cons x) (Cons y) =- let (d,m) = Core.divMod x y- in (Cons d, Cons m)--instance (ZeroTestable.C a, Field.C a) => Units.C (T a) where- isUnit (Cons []) = False- isUnit (Cons (x0:xs)) = not (isZero x0) && all isZero xs- stdUnit (Cons x) = const (Core.stdUnit x)- stdUnitInv (Cons x) = const (recip (Core.stdUnit x))--{--Polynomials are a Euclidean domain, so no instance is necessary-(although it might be faster).--}--instance (ZeroTestable.C a, Field.C a) => PID.C (T a)---instance (Ring.C a) => Differential.C (T a) where- differentiate = lift1 Core.differentiate---{-# INLINE integrate #-}-integrate :: (Field.C a) => a -> T a -> T a-integrate = lift1 . Core.integrate----{-# INLINE fromRoots #-}-fromRoots :: (Ring.C a) => [a] -> T a-fromRoots = Cons . foldl (flip Core.mulLinearFactor) [one]--{-# INLINE reverse #-}-reverse :: Additive.C a => T a -> T a-reverse = lift1 Core.alternate--translate :: Ring.C a => a -> T a -> T a-translate d =- lift1 $ foldr (\c p -> [c] + Core.mulLinearFactor d p) []--shrink :: Ring.C a => a -> T a -> T a-shrink k =- lift1 $ zipWith (*) (iterate (k*) one)--dilate :: Field.C a => a -> T a -> T a-dilate = shrink . Field.recip---instance (Arbitrary a, ZeroTestable.C a) => Arbitrary (T a) where- arbitrary = liftM (fromCoeffs . Core.normalize) arbitrary---{- * legacy instances -}--{- |-It is disputable whether polynomials shall be represented by number literals or not.-An advantage is, that one can write-let x = polynomial [0,1]-in (x^2+x+1)*(x-1)-However the output looks much different.--}-{-# INLINE legacyInstance #-}-legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance (Ring.C a, Eq a, Show a, ZeroTestable.C a) => P98.Num (T a) where- fromInteger = const . fromInteger- negate = Additive.negate -- for unary minus- (+) = legacyInstance- (*) = legacyInstance- abs = legacyInstance- signum = legacyInstance--instance (Field.C a, Eq a, Show a, ZeroTestable.C a) => P98.Fractional (T a) where- fromRational = const . fromRational- (/) = legacyInstance
− src-ghc-6.12/MathObj/Polynomial/Core.hs
@@ -1,224 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-This module implements polynomial functions on plain lists.-We use such functions in order to implement methods of other datatypes.--The module organization differs from that of @ResidueClass@:-Here the @Polynomial@ module exports the type-that fits to the NumericPrelude type classes,-whereas in @ResidueClass@ the sub-modules export various flavors of them.--}-module MathObj.Polynomial.Core (- horner, hornerCoeffVector, hornerArgVector,- normalize,- shift, unShift,- equal,- add, sub, negate,- scale, collinear,- tensorProduct, tensorProductAlt,- mul, mulShear, mulShearTranspose,- divMod, divModRev,- stdUnit,- progression, differentiate, integrate, integrateInt,- mulLinearFactor,- alternate,- ) where--import qualified Algebra.Module as Module-import qualified Algebra.Field as Field-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Data.List as List-import NumericPrelude.List (zipWithOverlap, )-import Data.Tuple.HT (mapPair, mapFst, forcePair, )-import Data.List.HT- (dropWhileRev, switchL, shear, shearTranspose, outerProduct, )--import qualified NumericPrelude.Base as P-import qualified NumericPrelude.Numeric as NP--import NumericPrelude.Base hiding (const, reverse, )-import NumericPrelude.Numeric hiding (divMod, negate, stdUnit, )---{- |-Horner's scheme for evaluating a polynomial in a ring.--}-{-# INLINE horner #-}-horner :: Ring.C a => a -> [a] -> a-horner x = foldr (\c val -> c+x*val) zero--{- |-Horner's scheme for evaluating a polynomial in a module.--}-{-# INLINE hornerCoeffVector #-}-hornerCoeffVector :: Module.C a v => a -> [v] -> v-hornerCoeffVector x = foldr (\c val -> c+x*>val) zero--{-# INLINE hornerArgVector #-}-hornerArgVector :: (Module.C a v, Ring.C v) => v -> [a] -> v-hornerArgVector x = foldr (\c val -> c*>one+val*x) zero---{- |-It's also helpful to put a polynomial in canonical form.-'normalize' strips leading coefficients that are zero.--}-{-# INLINE normalize #-}-normalize :: (ZeroTestable.C a) => [a] -> [a]-normalize = dropWhileRev isZero--{- |-Multiply by the variable, used internally.--}-{-# INLINE shift #-}-shift :: (Additive.C a) => [a] -> [a]-shift [] = []-shift l = zero : l--{-# INLINE unShift #-}-unShift :: [a] -> [a]-unShift [] = []-unShift (_:xs) = xs--{-# INLINE equal #-}-equal :: (Eq a, ZeroTestable.C a) => [a] -> [a] -> Bool-equal x y = and (zipWithOverlap isZero isZero (==) x y)---add, sub :: (Additive.C a) => [a] -> [a] -> [a]-add = (+)-sub = (-)--{-# INLINE negate #-}-negate :: (Additive.C a) => [a] -> [a]-negate = map NP.negate---{-# INLINE scale #-}-scale :: Ring.C a => a -> [a] -> [a]-scale s = map (s*)---collinear :: (Eq a, Ring.C a) => [a] -> [a] -> Bool-collinear (x:xs) (y:ys) =- if x==zero && y==zero- then collinear xs ys- else scale x ys == scale y xs--- here at least one of xs and ys is empty-collinear xs ys =- all (==zero) xs && all (==zero) ys---{-# INLINE tensorProduct #-}-tensorProduct :: Ring.C a => [a] -> [a] -> [[a]]-tensorProduct = outerProduct (*)--tensorProductAlt :: Ring.C a => [a] -> [a] -> [[a]]-tensorProductAlt xs ys = map (flip scale ys) xs---{- |-'mul' is fast if the second argument is a short polynomial,-'MathObj.PowerSeries.**' relies on that fact.--}--{-# INLINE mul #-}-mul :: Ring.C a => [a] -> [a] -> [a]-{- prevent from generation of many zeros- if the first operand is the empty list -}-mul [] = P.const []-mul xs = foldr (\y zs -> let (v:vs) = scale y xs in v : add vs zs) []--- this one fails on infinite lists--- mul xs = foldr (\y zs -> add (scale y xs) (shift zs)) []--{-# INLINE mulShear #-}-mulShear :: Ring.C a => [a] -> [a] -> [a]-mulShear xs ys = map sum (shear (tensorProduct xs ys))--{-# INLINE mulShearTranspose #-}-mulShearTranspose :: Ring.C a => [a] -> [a] -> [a]-mulShearTranspose xs ys = map sum (shearTranspose (tensorProduct xs ys))---divMod :: (ZeroTestable.C a, Field.C a) => [a] -> [a] -> ([a], [a])-divMod x y =- mapPair (List.reverse, List.reverse) $- divModRev (List.reverse x) (List.reverse y)--{--snd $ Poly.divMod (repeat (1::Double)) [1,1]--}-divModRev :: (ZeroTestable.C a, Field.C a) => [a] -> [a] -> ([a], [a])-divModRev x y =- let (y0:ys) = dropWhile isZero y- -- the second parameter represents lazily (length x - length y)- aux xs' =- forcePair .- switchL- ([], xs')- (P.const $- let (x0:xs) = xs'- q0 = x0/y0- in mapFst (q0:) . aux (sub xs (scale q0 ys)))- in if isZero y- then error "MathObj.Polynomial: division by zero"- else aux x (drop (length y - 1) x)--{-# INLINE stdUnit #-}-stdUnit :: (ZeroTestable.C a, Ring.C a) => [a] -> a-stdUnit x = case normalize x of- [] -> one- l -> last l---{-# INLINE progression #-}-progression :: Ring.C a => [a]-progression = iterate (one+) one--{-# INLINE differentiate #-}-differentiate :: (Ring.C a) => [a] -> [a]-differentiate = zipWith (*) progression . drop 1--{-# INLINE integrate #-}-integrate :: (Field.C a) => a -> [a] -> [a]-integrate c x = c : zipWith (/) x progression--{- |-Integrates if it is possible to represent the integrated polynomial-in the given ring.-Otherwise undefined coefficients occur.--}-{-# INLINE integrateInt #-}-integrateInt :: (ZeroTestable.C a, Integral.C a) => a -> [a] -> [a]-integrateInt c x =- c : zipWith Integral.divChecked x progression---{-# INLINE mulLinearFactor #-}-mulLinearFactor :: Ring.C a => a -> [a] -> [a]-mulLinearFactor x yt@(y:ys) = Additive.negate (x*y) : yt - scale x ys-mulLinearFactor _ [] = []--{-# INLINE alternate #-}-alternate :: Additive.C a => [a] -> [a]-alternate = zipWith ($) (cycle [id, Additive.negate])---{--see htam: Wavelet/DyadicResultant--resultant :: Ring.C a => [a] -> [a] -> [a]-resultant xs ys =--discriminant :: Ring.C a => [a] -> a-discriminant xs =- let degree = genericLength xs- in parityFlip (divChecked (degree*(degree-1)) 2)- (resultant xs (differentiate xs))- `divChecked` last xs--}-
− src-ghc-6.12/MathObj/PowerSeries.hs
@@ -1,193 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- |-Power series, either finite or unbounded.-(zipWith does exactly the right thing to make it work almost transparently.)--}-module MathObj.PowerSeries where--import qualified MathObj.PowerSeries.Core as Core-import qualified MathObj.Polynomial.Core as Poly--import qualified Algebra.Differential as Differential-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Transcendental as Transcendental-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Module((*>))--import NumericPrelude.Base hiding (const)-import NumericPrelude.Numeric---newtype T a = Cons {coeffs :: [a]} deriving (Ord)--{-# INLINE fromCoeffs #-}-fromCoeffs :: [a] -> T a-fromCoeffs = lift0--{-# INLINE lift0 #-}-lift0 :: [a] -> T a-lift0 = Cons--{-# INLINE lift1 #-}-lift1 :: ([a] -> [a]) -> (T a -> T a)-lift1 f (Cons x0) = Cons (f x0)--{-# INLINE lift2 #-}-lift2 :: ([a] -> [a] -> [a]) -> (T a -> T a -> T a)-lift2 f (Cons x0) (Cons x1) = Cons (f x0 x1)--{-# INLINE const #-}-const :: a -> T a-const x = lift0 [x]--{--Functor instance is e.g. useful for showing power series in residue rings.-@fmap (ResidueClass.concrete 7) (powerSeries [1,4,4::ResidueClass.T Integer] * powerSeries [1,5,6])@--}--instance Functor T where- fmap f (Cons xs) = Cons (map f xs)--{-# INLINE appPrec #-}-appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons xs) =- showParen (p >= appPrec) (showString "PowerSeries.fromCoeffs " . shows xs)---{-# INLINE truncate #-}-truncate :: Int -> T a -> T a-truncate n = lift1 (take n)--{- |-Evaluate (truncated) power series.--}-{-# INLINE evaluate #-}-evaluate :: Ring.C a => T a -> a -> a-evaluate (Cons y) = Core.evaluate y--{- |-Evaluate (truncated) power series.--}-{-# INLINE evaluateCoeffVector #-}-evaluateCoeffVector :: Module.C a v => T v -> a -> v-evaluateCoeffVector (Cons y) = Core.evaluateCoeffVector y---{-# INLINE evaluateArgVector #-}-evaluateArgVector :: (Module.C a v, Ring.C v) => T a -> v -> v-evaluateArgVector (Cons y) = Core.evaluateArgVector y--{- |-Evaluate approximations that is evaluate all truncations of the series.--}-{-# INLINE approximate #-}-approximate :: Ring.C a => T a -> a -> [a]-approximate (Cons y) = Core.approximate y---{- |-Evaluate approximations that is evaluate all truncations of the series.--}-{-# INLINE approximateCoeffVector #-}-approximateCoeffVector :: Module.C a v => T v -> a -> [v]-approximateCoeffVector (Cons y) = Core.approximateCoeffVector y---{- |-Evaluate approximations that is evaluate all truncations of the series.--}-{-# INLINE approximateArgVector #-}-approximateArgVector :: (Module.C a v, Ring.C v) => T a -> v -> [v]-approximateArgVector (Cons y) = Core.approximateArgVector y---{--Note that the derived instances only make sense for finite series.--}--instance (Eq a, ZeroTestable.C a) => Eq (T a) where- (Cons x) == (Cons y) = Poly.equal x y--instance (Additive.C a) => Additive.C (T a) where- negate = lift1 Poly.negate- (+) = lift2 Poly.add- (-) = lift2 Poly.sub- zero = lift0 []--instance (Ring.C a) => Ring.C (T a) where- one = const one- fromInteger n = const (fromInteger n)- (*) = lift2 Core.mul--instance Vector.C T where- zero = zero- (<+>) = (+)- (*>) = Vector.functorScale--instance (Module.C a b) => Module.C a (T b) where- (*>) x = lift1 (x *>)--instance (Field.C a, Module.C a b) => VectorSpace.C a (T b)---instance (Field.C a) => Field.C (T a) where- (/) = lift2 Core.divide---instance (ZeroTestable.C a, Field.C a) => Integral.C (T a) where- divMod (Cons x) (Cons y) =- let (d,m) = Core.divMod x y- in (Cons d, Cons m)---instance (Ring.C a) => Differential.C (T a) where- differentiate = lift1 Core.differentiate---instance (Algebraic.C a) => Algebraic.C (T a) where- sqrt = lift1 (Core.sqrt Algebraic.sqrt)- x ^/ y = lift1 (Core.pow (Algebraic.^/ y)- (fromRational' y)) x---instance (Transcendental.C a) =>- Transcendental.C (T a) where- pi = const Transcendental.pi- exp = lift1 (Core.exp Transcendental.exp)- sin = lift1 (Core.sin Core.sinCosScalar)- cos = lift1 (Core.cos Core.sinCosScalar)- tan = lift1 (Core.tan Core.sinCosScalar)- x ** y = Transcendental.exp (Transcendental.log x * y)- {- This order of multiplication is especially fast- when y is a singleton. -}- log = lift1 (Core.log Transcendental.log)- asin = lift1 (Core.asin Algebraic.sqrt Transcendental.asin)- acos = lift1 (Core.acos Algebraic.sqrt Transcendental.acos)- atan = lift1 (Core.atan Transcendental.atan)--{- |-It fulfills- @ evaluate x . evaluate y == evaluate (compose x y) @--}--compose :: (Ring.C a, ZeroTestable.C a) => T a -> T a -> T a-compose (Cons []) (Cons []) = Cons []-compose (Cons (x:_)) (Cons []) = Cons [x]-compose (Cons x) (Cons (y:ys)) =- if isZero y- then Cons (Core.compose x ys)- else error "PowerSeries.compose: inner series must not have an absolute term."
− src-ghc-6.12/MathObj/PowerSeries/Core.hs
@@ -1,279 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module MathObj.PowerSeries.Core where--import qualified MathObj.Polynomial.Core as Poly--import qualified Algebra.Module as Module-import qualified Algebra.Transcendental as Transcendental-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Data.List.Match as Match-import qualified NumericPrelude.Numeric as NP-import qualified NumericPrelude.Base as P--import NumericPrelude.Base hiding (const)-import NumericPrelude.Numeric hiding (negate, stdUnit, divMod,- sqrt, exp, log,- sin, cos, tan, asin, acos, atan)---{-# INLINE evaluate #-}-evaluate :: Ring.C a => [a] -> a -> a-evaluate = flip Poly.horner--{-# INLINE evaluateCoeffVector #-}-evaluateCoeffVector :: Module.C a v => [v] -> a -> v-evaluateCoeffVector = flip Poly.hornerCoeffVector--{-# INLINE evaluateArgVector #-}-evaluateArgVector :: (Module.C a v, Ring.C v) => [a] -> v -> v-evaluateArgVector = flip Poly.hornerArgVector---{-# INLINE approximate #-}-approximate :: Ring.C a => [a] -> a -> [a]-approximate y x =- scanl (+) zero (zipWith (*) (iterate (x*) 1) y)--{-# INLINE approximateCoeffVector #-}-approximateCoeffVector :: Module.C a v => [v] -> a -> [v]-approximateCoeffVector y x =- scanl (+) zero (zipWith (*>) (iterate (x*) 1) y)--{-# INLINE approximateArgVector #-}-approximateArgVector :: (Module.C a v, Ring.C v) => [a] -> v -> [v]-approximateArgVector y x =- scanl (+) zero (zipWith (*>) y (iterate (x*) 1))---{- * Simple series manipulation -}--{- |-For the series of a real function @f@-compute the series for @\x -> f (-x)@--}--alternate :: Additive.C a => [a] -> [a]-alternate = zipWith id (cycle [id, NP.negate])--{- |-For the series of a real function @f@-compute the series for @\x -> (f x + f (-x)) \/ 2@--}--holes2 :: Additive.C a => [a] -> [a]-holes2 = zipWith id (cycle [id, P.const zero])--{- |-For the series of a real function @f@-compute the real series for @\x -> (f (i*x) + f (-i*x)) \/ 2@--}-holes2alternate :: Additive.C a => [a] -> [a]-holes2alternate =- zipWith id (cycle [id, P.const zero, NP.negate, P.const zero])---{- * Series arithmetic -}--add, sub :: (Additive.C a) => [a] -> [a] -> [a]-add = Poly.add-sub = Poly.sub--negate :: (Additive.C a) => [a] -> [a]-negate = Poly.negate--scale :: Ring.C a => a -> [a] -> [a]-scale = Poly.scale--mul :: Ring.C a => [a] -> [a] -> [a]-mul = Poly.mul---stripLeadZero :: (ZeroTestable.C a) => [a] -> [a] -> ([a],[a])-stripLeadZero (x:xs) (y:ys) =- if isZero x && isZero y- then stripLeadZero xs ys- else (x:xs,y:ys)-stripLeadZero xs ys = (xs,ys)---divMod :: (ZeroTestable.C a, Field.C a) => [a] -> [a] -> ([a],[a])-divMod xs ys =- let (yZero,yRem) = span isZero ys- (xMod, xRem) = Match.splitAt yZero xs- in (divide xRem yRem, xMod)--{- |-Divide two series where the absolute term of the divisor is non-zero.-That is, power series with leading non-zero terms are the units-in the ring of power series.--Knuth: Seminumerical algorithms--}-divide :: (Field.C a) => [a] -> [a] -> [a]-divide (x:xs) (y:ys) =- let zs = map (/y) (x : sub xs (mul zs ys))- in zs-divide [] _ = []-divide _ [] = error "PowerSeries.divide: division by empty series"--{- |-Divide two series also if the divisor has leading zeros.--}-divideStripZero :: (ZeroTestable.C a, Field.C a) => [a] -> [a] -> [a]-divideStripZero x' y' =- let (x0,y0) = stripLeadZero x' y'- in if null y0 || isZero (head y0)- then error "PowerSeries.divideStripZero: Division by zero."- else divide x0 y0---progression :: Ring.C a => [a]-progression = Poly.progression--recipProgression :: (Field.C a) => [a]-recipProgression = map recip progression--differentiate :: (Ring.C a) => [a] -> [a]-differentiate = Poly.differentiate--integrate :: (Field.C a) => a -> [a] -> [a]-integrate = Poly.integrate---{- |-We need to compute the square root only of the first term.-That is, if the first term is rational,-then all terms of the series are rational.--}-sqrt :: Field.C a => (a -> a) -> [a] -> [a]-sqrt _ [] = []-sqrt f0 (x:xs) =- let y = f0 x- ys = map (/(y+y)) (xs - (0 : mul ys ys))- in y:ys--{--pow alpha t = t^alpha-(pow alpha . x)' = alpha * (pow (alpha-1) . x) * x'-alpha * (pow alpha . x) = x * x' * (pow alpha . x)'-y = pow alpha . x-alpha * y = x * x' * y'--}--{- |-Input series must start with non-zero term.--}-pow :: (Field.C a) => (a -> a) -> a -> [a] -> [a]-pow f0 expon x =- let y = integrate (f0 (head x)) y'- y' = scale expon (divide y (mul x (differentiate x)))- in y---{- |-The first term needs a transcendent computation but the others do not.-That's why we accept a function which computes the first term.--> (exp . x)' = (exp . x) * x'-> (sin . x)' = (cos . x) * x'-> (cos . x)' = - (sin . x) * x'--}-exp :: Field.C a => (a -> a) -> [a] -> [a]-exp f0 x =- let x' = differentiate x- y = integrate (f0 (head x)) (mul y x')- in y--sinCos :: Field.C a => (a -> (a,a)) -> [a] -> ([a],[a])-sinCos f0 x =- let (y0Sin, y0Cos) = f0 (head x)- x' = differentiate x- ySin = integrate y0Sin (mul yCos x')- yCos = integrate y0Cos (negate (mul ySin x'))- in (ySin, yCos)--sinCosScalar :: Transcendental.C a => a -> (a,a)-sinCosScalar x = (Transcendental.sin x, Transcendental.cos x)--sin, cos :: Field.C a => (a -> (a,a)) -> [a] -> [a]-sin f0 = fst . sinCos f0-cos f0 = snd . sinCos f0--tan :: (Field.C a) => (a -> (a,a)) -> [a] -> [a]-tan f0 = uncurry divide . sinCos f0--{--(log x)' == x'/x-(asin x)' == (acos x) == x'/sqrt(1-x^2)-(atan x)' == x'/(1+x^2)--}--{- |-Input series must start with non-zero term.--}-log :: (Field.C a) => (a -> a) -> [a] -> [a]-log f0 x = integrate (f0 (head x)) (derivedLog x)--{- |-Computes @(log x)'@, that is @x'\/x@--}-derivedLog :: (Field.C a) => [a] -> [a]-derivedLog x = divide (differentiate x) x--atan :: (Field.C a) => (a -> a) -> [a] -> [a]-atan f0 x =- let x' = differentiate x- in integrate (f0 (head x)) (divide x' ([1] + mul x x))--asin, acos :: (Field.C a) =>- (a -> a) -> (a -> a) -> [a] -> [a]-asin sqrt0 f0 x =- let x' = differentiate x- in integrate (f0 (head x))- (divide x' (sqrt sqrt0 ([1] - mul x x)))-acos = asin--{- |-Since the inner series must start with a zero,-the first term is omitted in y.--}-compose :: (Ring.C a) => [a] -> [a] -> [a]-compose xs y = foldr (\x acc -> x : mul y acc) [] xs---{- |-Compose two power series where the outer series-can be developed for any expansion point.-To be more precise:-The outer series must be expanded with respect to the leading term-of the inner series.--}-composeTaylor :: Ring.C a => (a -> [a]) -> [a] -> [a]-composeTaylor x (y:ys) = compose (x y) ys-composeTaylor x [] = x 0----{--(x . y) = id-(x' . y) * y' = 1-y' = 1 / (x' . y)--}--{- |-This function returns the series of the function in the form:-(point of the expansion, power series)--This is exceptionally slow and needs cubic run-time.--}--inv :: (Field.C a) => [a] -> (a, [a])-inv x =- let y' = divide [1] (compose (differentiate x) (tail y))- y = integrate 0 y'- -- the first term is zero, which is required for composition- in (head x, y)
− src-ghc-6.12/MathObj/PowerSeries/DifferentialEquation.hs
@@ -1,81 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Lazy evaluation allows for the solution- of differential equations in terms of power series.-Whenever you can express the highest derivative of the solution- as explicit expression of the lower derivatives- where each coefficient of the solution series- depends only on lower coefficients,- the recursive algorithm will work.--}--module MathObj.PowerSeries.DifferentialEquation where--import qualified MathObj.PowerSeries.Core as PS-import qualified MathObj.PowerSeries.Example as PSE--import qualified Algebra.Field as Field-import qualified Algebra.ZeroTestable as ZeroTestable--import NumericPrelude.Numeric-import NumericPrelude.Base---{- |-Example for a linear equation:- Setup a differential equation for @y@ with--> y t = (exp (-t)) * (sin t)-> y' t = -(exp (-t)) * (sin t) + (exp (-t)) * (cos t)-> y'' t = -2 * (exp (-t)) * (cos t)--Thus the differential equation--> y'' = -2 * (y' + y)--holds.--The following function generates-a power series for @exp (-t) * sin t@-by solving the differential equation.--}--solveDiffEq0 :: (Field.C a) => [a]-solveDiffEq0 =- let -- the initial conditions are passed to "PS.integrate"- y = PS.integrate 0 y'- y' = PS.integrate 1 y''- y'' = PS.scale (-2) (PS.add y' y)- in y--verifyDiffEq0 :: (Field.C a) => [a]-verifyDiffEq0 =- PS.mul (zipWith (*) (iterate negate 1) PSE.exp) PSE.sin--propDiffEq0 :: Bool-propDiffEq0 = solveDiffEq0 == (verifyDiffEq0 :: [Rational])---{- |-We are not restricted to linear equations!- Let the solution be y with- y t = (1-t)^-1- y' t = (1-t)^-2- y'' t = 2*(1-t)^-3- then it holds- y'' = 2 * y' * y--}--solveDiffEq1 :: (ZeroTestable.C a, Field.C a) => [a]-solveDiffEq1 =- let -- the initial conditions are passed to "PS.integrate"- y = PS.integrate 1 y'- y' = PS.integrate 1 y''- y'' = PS.scale 2 (PS.mul y' y)- in y--verifyDiffEq1 :: (ZeroTestable.C a, Field.C a) => [a]-verifyDiffEq1 = PS.divide [1] [1, -1]--propDiffEq1 :: Bool-propDiffEq1 = solveDiffEq1 == (verifyDiffEq1 :: [Rational])
− src-ghc-6.12/MathObj/PowerSeries/Example.hs
@@ -1,156 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module MathObj.PowerSeries.Example where--import qualified MathObj.PowerSeries.Core as PS--import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Transcendental as Transcendental--import Algebra.Additive (zero, subtract, negate)--import Data.List (intersperse, )-import Data.List.HT (sieve, )--import NumericPrelude.Numeric (one, (*), (/),- fromInteger, {-fromRational,-} pi)-import NumericPrelude.Base -- (Bool, const, map, zipWith, id, (&&), (==))---{- * Default implementations. -}--recip :: (Ring.C a) => [a]-recip = recipExpl--exp, sin, cos,- log, asin, atan, sqrt :: (Field.C a) => [a]-acos :: (Transcendental.C a) => [a]-tan :: (ZeroTestable.C a, Field.C a) => [a]-exp = expODE-sin = sinODE-cos = cosODE-tan = tanExplSieve-log = logODE-asin = asinODE-acos = acosODE-atan = atanODE--sinh, cosh, atanh :: (Field.C a) => [a]-sinh = sinhODE-cosh = coshODE-atanh = atanhODE--pow :: (Field.C a) => a -> [a]-pow = powExpl-sqrt = sqrtExpl---{- * Generate Taylor series explicitly. -}--recipExpl :: (Ring.C a) => [a]-recipExpl = cycle [1,-1]--expExpl, sinExpl, cosExpl :: (Field.C a) => [a]-expExpl = scanl (*) one PS.recipProgression-sinExpl = zero : PS.holes2alternate (tail expExpl)-cosExpl = PS.holes2alternate expExpl--tanExpl, tanExplSieve :: (ZeroTestable.C a, Field.C a) => [a]-tanExpl = PS.divide sinExpl cosExpl--- ignore zero values-tanExplSieve =- concatMap- (\x -> [zero,x])- (PS.divide (sieve 2 (tail sin)) (sieve 2 cos))--logExpl, atanExpl, sqrtExpl :: (Field.C a) => [a]-logExpl = zero : PS.alternate PS.recipProgression-atanExpl = zero : PS.holes2alternate PS.recipProgression--sinhExpl, coshExpl, atanhExpl :: (Field.C a) => [a]-sinhExpl = zero : PS.holes2 (tail expExpl)-coshExpl = PS.holes2 expExpl-atanhExpl = zero : PS.holes2 PS.recipProgression--{- * Power series of (1+x)^expon using the binomial series. -}--powExpl :: (Field.C a) => a -> [a]-powExpl expon =- scanl (*) 1 (zipWith (/)- (iterate (subtract 1) expon) PS.progression)-sqrtExpl = powExpl (1/2)--{- |-Power series of error function (almost).-More precisely @ erf = 2 \/ sqrt pi * integrate (\x -> exp (-x^2)) @,-with @erf 0 = 0@.--}--erf :: (Field.C a) => [a]-erf = PS.integrate 0 $ intersperse 0 $ PS.alternate exp--{--integrate (\x -> exp (-x^2/2)) :--erf = PS.integrate 0 $ intersperse 0 $- snd $ mapAccumL (\twoPow c -> (twoPow/(-2), twoPow*c)) 1 exp--}---{- * Generate Taylor series from differential equations. -}--{--exp' x == exp x-sin' x == cos x-cos' x == - sin x--tan' x == 1 + tan x ^ 2- == cos x ^ (-2)--}--expODE, sinODE, cosODE, tanODE, tanODESieve :: (Field.C a) => [a]-expODE = PS.integrate 1 expODE-sinODE = PS.integrate 0 cosODE-cosODE = PS.integrate 1 (PS.negate sinODE)-tanODE = PS.integrate 0 (PS.add [1] (PS.mul tanODE tanODE))-tanODESieve =- -- sieve is too strict here because it wants to detect end of lists- let tan2 = map head (iterate (drop 2) (tail tanODESieve))- in PS.integrate 0 (intersperse zero (1 : PS.mul tan2 tan2))--{--log' (1+x) == 1/(1+x)-asin' x == acos' x == 1/sqrt(1-x^2)-atan' x == 1/(1+x^2)--}--logODE, recipCircle, asinODE, atanODE, sqrtODE :: (Field.C a) => [a]-logODE = PS.integrate zero recip-recipCircle = intersperse zero (PS.alternate (powODE (-1/2)))-asinODE = PS.integrate 0 recipCircle-atanODE = PS.integrate zero (cycle [1,0,-1,0])-sqrtODE = powODE (1/2)--acosODE :: (Transcendental.C a) => [a]-acosODE = PS.integrate (pi/2) recipCircle--sinhODE, coshODE, atanhODE :: (Field.C a) => [a]-sinhODE = PS.integrate 0 coshODE-coshODE = PS.integrate 1 sinhODE-atanhODE = PS.integrate zero (cycle [1,0])---{--Power series for y with- y x = (1+x) ** alpha-by solving the differential equation- alpha * y x = (1+x) * y' x--}--powODE :: (Field.C a) => a -> [a]-powODE expon =- let y = PS.integrate 1 y'- y' = PS.scale expon (scanl1 subtract y)- in y
− src-ghc-6.12/MathObj/PowerSeries/Mean.hs
@@ -1,234 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-This module computes power series for-representing some means as generalized $f$-means.--}-module MathObj.PowerSeries.Mean where--import qualified MathObj.PowerSeries2 as PS2-import qualified MathObj.PowerSeries2.Core as PS2Core-import qualified MathObj.PowerSeries as PS-import qualified MathObj.PowerSeries.Core as PSCore-import qualified MathObj.PowerSeries.Example as PSE--import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring--import Data.List.HT (shearTranspose)--import NumericPrelude.Numeric-import NumericPrelude.Base--{--$M_f$ is a generalized $f$-mean (quasi-arithmetic) if-\[M_f x = f^{ -1}\right(\frac{1}{n}\cdot\sum_{k=1}^{n} f(x_k)\left)\]--For instance there is the logarithmic mean-defined by-\[\frac{x-y}{\ln x - \ln y}\]-whose definition is inherently bound to two variables.-If we find a representation as a generalized $f$-mean-we can generalize this mean to more than two variables.--Btw. we can easily see that the logarithmic mean is not a quasi-arithmetic mean,-because \[ \anonymfunc{(a,b,c,d)}{L(L(a,b),L(c,d))} \]-is not commutative, but quasi-arithmetic means are always commutative.--First we note that an arbitrary constant offset and-an arbitrary scaling of $f$ does not alter the mean.-Therefore we choose $f(1)=0, f'(1)=1$-and we expand $f$ into a Taylor series with respect to 1.--For the logarithmic mean we will choose $y=0$.-This way we might get additional virtual solutions,-but we can identify them afterwards by a test.-\begin{eqnarray*}-f^{ -1}\left(\frac{f(1+x)+f(1+y)}{2}\right)- &=& \frac{x-y}{\ln(1+x) - \ln(1+y)} \\-f^{ -1}\left(\frac{f(1+x)}{2}\right)- &=& \frac{x}{\ln(1+x)} \\-f(1+x)- &=& 2 \cdot f\left(\frac{x}{\ln(1+x)}\right)-\end{eqnarray*}-This cannot be solved immediately-because in the power series expansions on both sides-unknown coefficients occur at the same monomials.-We can resolve that by subtracting the series of $2\cdot f(1+x/2)$-off both sides.-\begin{eqnarray*}-f(1+x) - 2\cdot f(1+x/2)- &=& 2 \cdot (f\left(\frac{x}{\ln(1+x)}\right) - f(1+x/2))-\end{eqnarray*}-We note that $1+x/2$ is the truncated series of $\frac{x}{\ln(1+x)}$.-This is also necessary in order to obtain an equation.--Now we have to derive an implementation of the right-hand side.-This is a difference of two series compositions, namely-$f(x+a*x^2+b*x^3+\dots) - f(x)$ .-The implementation takes care that the vanishing terms are not computed-and thus allows solution of series fixed point equations.-It is just done by throwing away the leading terms of all powers-of the series $x+a*x^2+b*x^3+\dots$.-In $x$ the constant monomial is omitted,-in the result both the constant and the linear term are omitted.--}--diffComp :: (Ring.C a) => [a] -> [a] -> [a]-diffComp ys x =- map sum (shearTranspose (tail (zipWith PSCore.scale ys- (map tail (iterate (PSCore.mul x) [1])))))--{--Now we solve-\[-\frac{1}{2}\cdot f(1+2\cdot x) - f(1+x)- &=& f\left(\frac{2\cdot x}{\ln(1+2\cdot x)}\right) - f(1+x)-\]--}--logarithmic :: (Field.C a) => [a]-logarithmic =- let -- series for \frac{2\cdot x}{\ln(1+2\cdot x)}- fracLn = PSCore.divide [2]- (tail (zipWith (*) (iterate (2*) 1) PSE.log))- fDiffFracLn = diffComp f (tail fracLn)- f = 0 : 1 : zipWith (/) fDiffFracLn- (map (subtract 1) (iterate (2*) 2))- in f--elemSym3_2 :: (Field.C a) => [a]-elemSym3_2 =- let -- series for \frac{2\cdot x}{\ln(1+2\cdot x)}- root = zipWith (*) (iterate (2*) 1) PSE.sqrt- fDiffRoot = diffComp f (tail root)- f = 0 : 1 : zipWith (/) fDiffRoot- (map (subtract 1) (iterate (3*) 3))- in f---{--Means constructed by mean value theorem.--\[ M(x,y) = f'^{ -1}((f(x)-f(y))/(x-y)) \]--\[ f(x) = x^2 \implies M - arithmetic mean \]-\[ f(x) = 1/x \implies M - geometric mean \]--Try to find a power series for $f$ for $M(x,y) = \sqrt{(x^2+y^2)/2}$-(quadratic mean).-Expansion point: 1.-$M(1+t,1) = \sqrt{1+t+t^2/2}$--}-quadratic :: (Field.C a, Eq a) => [a]-quadratic = PSCore.sqrt (\1 -> 1) [1,1,1/2]--quadraticMVF :: (Field.C a) => [a]-quadraticMVF =- -- [1,1,1,1,1/2,3/23,2/143]- -- [1,1,1,1,1/2,1/2]- [1,1,1,1,1/2,-1/14]---- map (\x -> PSCore.coeffs (meanValueDiff2 quadratic2 [1,1,1,1,1/2,x] !! 4) !! 2) (GNUPlot.linearScale 10 (-0.071429,-1/14::Double))--- take 20 $ Numerics.ZeroFinder.RegulaFalsi.zero (-1,0) (\x -> PSCore.coeffs (meanValueDiff2 quadratic2 [1::Double,1,1,1,1/2,x] !! 4) !! 2)--{--Result: It seems,-that we cannot find an appropriate coefficient for the 5th power.-This indicates that it is not possible to represent-the quadratic mean as mean value mean.--}--quadraticDiff :: (Field.C a, Eq a) => [a]-quadraticDiff =- let divDiffPS = tail quadraticMVF -- (f(1+t)-f(1))/((1+t)-1)- (1, invPS) = PSCore.inv (PSCore.differentiate quadraticMVF)- meanValuePS = PSCore.composeTaylor (\1 -> invPS) divDiffPS- {- instead of computing an inverse series- we could also apply (compose) the derived series- to the series of the quadratic mean. -}- in quadratic - meanValuePS--{--Represent quadratic mean with a two-variate power series.--$M(1+x,1+y) = \sqrt{1+x+y+(x^2+y^2)/2}$--}-quadratic2 :: (Field.C a, Eq a) => PS2Core.T a-quadratic2 =- PS2Core.sqrt (\1 -> 1) [[1],[1,1],[1/2,0,1/2]]--quadraticDiff2 :: (Field.C a, Eq a) => PS2Core.T a-quadraticDiff2 =- meanValueDiff2 quadratic2 quadraticMVF----{--We can alter the square coefficient,-but consequently we have to scale the sub-sequent coefficients.-If the square coefficient is zero then the equation is fulfilled,-but this is a non-solution because it is degenerate.--}-harmonicMVF :: (Field.C a) => [a]-harmonicMVF =- -- [1,1,1,-2,7/2,-62/11]- -- [1,1,2,-4,7,-124/11]- [1,1,3,-6,21/2,-186/11]--{--$M(1+x,1+y) = 2/(recip (1+x) + recip (1+y))$--}-harmonic2 :: (Field.C a, Eq a) => PS2Core.T a-harmonic2 =- let rec = PS.fromCoeffs PSE.recip- in PS2Core.divide [[2]] $- PS2.coeffs $- PS2.fromPowerSeries0 rec +- PS2.fromPowerSeries1 rec--harmonicDiff2 :: (Field.C a, Eq a) => PS2Core.T a-harmonicDiff2 =- meanValueDiff2 harmonic2 harmonicMVF----arithmeticMVF :: (Field.C a) => [a]-arithmeticMVF = [1,2,1]--{--$M(1+x,1+y) = 1+x/2+y/2$--}-arithmetic2 :: (Field.C a, Eq a) => PS2Core.T a-arithmetic2 = [[1],[1/2,1/2]]--arithmeticDiff2 :: (Field.C a, Eq a) => PS2Core.T a-arithmeticDiff2 =- meanValueDiff2 arithmetic2 arithmeticMVF---geometricMVF :: (Field.C a) => [a]-geometricMVF = PSE.recip--{--$M(1+x,1+y) = \sqrt{(1+x)·(1+y)}$--}-geometric2 :: (Field.C a, Eq a) => PS2Core.T a-geometric2 =- PS2Core.sqrt (\1 -> 1) [[1],[1,1],[0,1,0]]--geometricDiff2 :: (Field.C a, Eq a) => PS2Core.T a-geometricDiff2 =- meanValueDiff2 geometric2 geometricMVF-----meanValueDiff2 :: (Field.C a, Eq a) =>- PS2Core.T a -> [a] -> PS2Core.T a-meanValueDiff2 mean2 curve =- let -- (f(1+x)-f(1+y)) / (x-y)- divDiffPS =- zipWith replicate [1..] $ tail curve- meanValuePS =- PS2Core.compose (PSCore.differentiate curve) (tail mean2)- in meanValuePS - divDiffPS
− src-ghc-6.12/MathObj/PowerSeries2.hs
@@ -1,126 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}--{- |-Two-variate power series.--}--module MathObj.PowerSeries2 where--import qualified MathObj.PowerSeries2.Core as Core-import qualified MathObj.PowerSeries as PS-import qualified MathObj.Polynomial.Core as Poly--import qualified Algebra.Vector as Vector-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified NumericPrelude.Numeric as NP-import qualified NumericPrelude.Base as P--import Data.List (isPrefixOf, )-import qualified Data.List.Match as Match--import NumericPrelude.Base hiding (const)-import NumericPrelude.Numeric--{- |-In order to handle both variables equivalently-we maintain a list of coefficients for terms of the same total degree.-That is--> eval [[a], [b,c], [d,e,f]] (x,y) ==-> a + b*x+c*y + d*x^2+e*x*y+f*y^2--Although the sub-lists are always finite and thus are more like polynomials than power series,-division and square root computation are easier to implement for power series.--}-newtype T a = Cons {coeffs :: Core.T a} deriving (Ord)---isValid :: [[a]] -> Bool-isValid = flip isPrefixOf [1..] . map length--check :: [[a]] -> [[a]]-check xs =- zipWith (\n x ->- if Match.compareLength n x == EQ- then x- else error "PowerSeries2.check: invalid length of sub-list")- (iterate (():) [()]) xs---fromCoeffs :: [[a]] -> T a-fromCoeffs = Cons . check--fromPowerSeries0 :: Ring.C a => PS.T a -> T a-fromPowerSeries0 x =- fromCoeffs $- zipWith (:) (PS.coeffs x) $- iterate (0:) []--fromPowerSeries1 :: Ring.C a => PS.T a -> T a-fromPowerSeries1 x =- fromCoeffs $- zipWith (++) (iterate (0:) []) $- map (:[]) (PS.coeffs x)---lift0 :: Core.T a -> T a-lift0 = Cons--lift1 :: (Core.T a -> Core.T a) -> (T a -> T a)-lift1 f (Cons x0) = Cons (f x0)--lift2 :: (Core.T a -> Core.T a -> Core.T a) -> (T a -> T a -> T a)-lift2 f (Cons x0) (Cons x1) = Cons (f x0 x1)---const :: a -> T a-const x = lift0 [[x]]---instance Functor T where- fmap f (Cons xs) = Cons (map (map f) xs)--appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons xs) =- showParen (p >= appPrec) (showString "PowerSeries2.fromCoeffs " . shows xs)---instance (Eq a, ZeroTestable.C a) => Eq (T a) where- (Cons x) == (Cons y) = Poly.equal x y--instance (Additive.C a) => Additive.C (T a) where- negate = lift1 Core.negate- (+) = lift2 Core.add- (-) = lift2 Core.sub- zero = lift0 []---instance (Ring.C a) => Ring.C (T a) where- one = const one- fromInteger n = const (fromInteger n)- (*) = lift2 Core.mul--instance Vector.C T where- zero = zero- (<+>) = (+)- (*>) = Vector.functorScale---instance (Field.C a) => Field.C (T a) where- (/) = lift2 Core.divide---instance (Algebraic.C a) => Algebraic.C (T a) where- sqrt = lift1 (Core.sqrt Algebraic.sqrt)--- x ^/ y = lift1 (Core.pow (Algebraic.^/ y)--- (fromRational' y)) x
− src-ghc-6.12/MathObj/PowerSeries2/Core.hs
@@ -1,89 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module MathObj.PowerSeries2.Core where--import qualified MathObj.PowerSeries as PS-import qualified MathObj.PowerSeries.Core as PSCore--import qualified Algebra.Differential as Differential-import qualified Algebra.Vector as Vector-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import NumericPrelude.Base--- import NumericPrelude.Numeric hiding (negate, sqrt, )---type T a = [[a]]---lift0fromPowerSeries :: [PS.T a] -> T a-lift0fromPowerSeries = map PS.coeffs--lift1fromPowerSeries ::- ([PS.T a] -> [PS.T a]) -> (T a -> T a)-lift1fromPowerSeries f x0 =- map PS.coeffs (f (map PS.fromCoeffs x0))--lift2fromPowerSeries ::- ([PS.T a] -> [PS.T a] -> [PS.T a]) -> (T a -> T a -> T a)-lift2fromPowerSeries f x0 x1 =- map PS.coeffs (f (map PS.fromCoeffs x0) (map PS.fromCoeffs x1))---{- * Series arithmetic -}--add, sub :: (Additive.C a) => T a -> T a -> T a-add = PSCore.add-sub = PSCore.sub--negate :: (Additive.C a) => T a -> T a-negate = PSCore.negate---scale :: Ring.C a => a -> T a -> T a-scale = map . (Vector.*>)--mul :: Ring.C a => T a -> T a -> T a-mul = lift2fromPowerSeries PSCore.mul---divide :: (Field.C a) =>- T a -> T a -> T a-divide = lift2fromPowerSeries PSCore.divide---sqrt :: (Field.C a) =>- (a -> a) -> T a -> T a-sqrt fSqRt =- lift1fromPowerSeries $- PSCore.sqrt (PS.const . (\[x] -> fSqRt x) . PS.coeffs)----swapVariables :: T a -> T a-swapVariables = map reverse---differentiate0 :: (Ring.C a) => T a -> T a-differentiate0 =- swapVariables . differentiate1 . swapVariables--differentiate1 :: (Ring.C a) => T a -> T a-differentiate1 = lift1fromPowerSeries $ map Differential.differentiate--integrate0 :: (Field.C a) => [a] -> T a -> T a-integrate0 cs =- swapVariables . integrate1 cs . swapVariables--integrate1 :: (Field.C a) => [a] -> T a -> T a-integrate1 = zipWith PSCore.integrate----{- |-Since the inner series must start with a zero,-the first term is omitted in y.--}-compose :: (Ring.C a) => [a] -> T a -> T a-compose = lift1fromPowerSeries . PSCore.compose . map PS.const
− src-ghc-6.12/MathObj/PowerSum.hs
@@ -1,234 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Henning Thielemann 2004-2005--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes---For a multi-set of numbers,-we describe a sequence of the sums of powers of the numbers in the set.-These can be easily converted to polynomials and back.-Thus they provide an easy way for computations on the roots of a polynomial.--}-module MathObj.PowerSum where--import qualified MathObj.Polynomial as Poly-import qualified MathObj.Polynomial.Core as PolyCore-import qualified MathObj.PowerSeries.Core as PS--import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Module((*>))--import Control.Monad(liftM2)-import qualified Data.List as List-import Data.List.HT (shearTranspose, sieve)--import NumericPrelude.Base as P hiding (const)-import NumericPrelude.Numeric as NP---newtype T a = Cons {sums :: [a]}---{- * Conversions -}--lift0 :: [a] -> T a-lift0 = Cons--lift1 :: ([a] -> [a]) -> (T a -> T a)-lift1 f (Cons x0) = Cons (f x0)--lift2 :: ([a] -> [a] -> [a]) -> (T a -> T a -> T a)-lift2 f (Cons x0) (Cons x1) = Cons (f x0 x1)---const :: (Ring.C a) => a -> T a-const x = Cons [1,x]--{- Newton-Girard formulas, cf. Modula-3: arithmetic/RootBasic.mg- s'/s = p -}--{-- s[k] - the elementary symmetric polynomial of degree k- p[k] - sum of the k-th power-- s[0](x0,x1,x2) = 1- s[1](x0,x1,x2) = x0+x1+x2- s[2](x0,x1,x2) = x0*x1+x1*x2+x2*x0- s[3](x0,x1,x2) = x0*x1*x2- s[4](x0,x1,x2) = 0-- p[0](x0,x1,x2) = 1 + 1 + 1- p[1](x0,x1,x2) = x0 + x1 + x2- p[2](x0,x1,x2) = x0^2 + x1^2 + x2^2- p[3](x0,x1,x2) = x0^3 + x1^3 + x2^3- p[4](x0,x1,x2) = x0^4 + x1^4 + x2^4-- s(t) := s[0] + s[1]*t + s[2]*t^2 + ...- p(t) := p[1]*t + p[2]*t^2 + ...-- Then it holds- t*s'(t) + p(-t)*s(t) = 0- This can be proven by considering p as sum of geometric series- and differentiating s in the root-wise factored form.-- Note that we index the coefficients the other way round- and that the coefficients of the polynomial- are not pure elementary symmetric polynomials of the roots- but have alternating signs, too.--}-fromElemSym :: (Eq a, Ring.C a) => [a] -> [a]-fromElemSym s =- fromIntegral (length s - 1) :- PolyCore.alternate (divOneFlip s (PolyCore.differentiate s))--divOneFlip :: (Eq a, Ring.C a) => [a] -> [a] -> [a]-divOneFlip (1:xs) =- let aux (y:ys) = y : aux (ys - PolyCore.scale y xs)- aux [] = []- in aux-divOneFlip _ =- error "divOneFlip: first element must be one"--fromElemSymDenormalized :: (Field.C a, ZeroTestable.C a) => [a] -> [a]-fromElemSymDenormalized s =- fromIntegral (length s - 1) :- PolyCore.alternate (PS.derivedLog s)---toElemSym :: (Field.C a, ZeroTestable.C a) => [a] -> [a]-toElemSym p =- let s' = PolyCore.mul (PolyCore.alternate (tail p)) s- s = PolyCore.integrate 1 s'- in s--toElemSymInt :: (Integral.C a, ZeroTestable.C a) => [a] -> [a]-toElemSymInt p =- let s' = PolyCore.mul (PolyCore.alternate (tail p)) s- s = PolyCore.integrateInt 1 s'- in s----fromPolynomial :: (Field.C a, ZeroTestable.C a) => Poly.T a -> [a]-fromPolynomial =- let aux s =- fromIntegral (length s - 1) :- PolyCore.negate (PS.derivedLog s)- in aux . reverse . Poly.coeffs--elemSymFromPolynomial :: Additive.C a => Poly.T a -> [a]-elemSymFromPolynomial = PolyCore.alternate . reverse . Poly.coeffs--{- toPolynomial is not possible because this had to consume the whole sum sequence. -}----binomials :: Ring.C a => [[a]]-binomials = [1] : binomials + map (0:) binomials--{- * Show -}--appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons xs) =- showParen (p >= appPrec)- (showString "PowerSum.Cons " . shows xs)---{- * Additive -}--{- Use binomial expansion of (x+y)^n -}-add :: (Ring.C a) => [a] -> [a] -> [a]-add xs ys =- let powers = shearTranspose (PolyCore.tensorProduct xs ys)- in zipWith Ring.scalarProduct binomials powers--instance (Ring.C a) => Additive.C (T a) where- zero = const zero- (+) = lift2 add- negate = lift1 PolyCore.alternate---{- * Ring -}--mul :: (Ring.C a) => [a] -> [a] -> [a]-mul xs ys = zipWith (*) xs ys--pow :: Integer -> [a] -> [a]-pow n =- if n<0- then error "PowerSum.pow: negative exponent"- else sieve (fromInteger n)- -- map head . iterate (List.genericDrop (toInteger n))--instance (Ring.C a) => Ring.C (T a) where- one = const one- fromInteger n = const (fromInteger n)- (*) = lift2 mul- x^n = lift1 (pow n) x---{- * Module -}--instance (Module.C a v, Ring.C v) => Module.C a (T v) where- x *> y = lift1 (zipWith (*>) (iterate (x*) one)) y--instance (VectorSpace.C a v, Ring.C v) => VectorSpace.C a (T v)---{- * Field.C -}--instance (Field.C a, ZeroTestable.C a) => Field.C (T a) where- recip = lift1 (fromElemSymDenormalized . reverse . toElemSym)---{- * Algebra -}--root :: (Ring.C a) => Integer -> [a] -> [a]-root n xs =- let upsample m ys =- concat (List.intersperse- (List.genericReplicate (m - 1) zero)- (map (:[]) ys))- in case compare n 0 of- LT -> upsample (-n) (reverse xs)- GT -> upsample n xs- EQ -> [1]--instance (Field.C a, ZeroTestable.C a) => Algebraic.C (T a) where- root n = lift1 (fromElemSymDenormalized . root n . toElemSym)---{- given the list of power sums @x1^j + ... + xn^j@- and a power series for the function @f@,- compute the series approximations of @f(x1) + ... + f(xn)@. -}-approxSeries :: Module.C a b => [b] -> [a] -> [b]-approxSeries y x =- scanl (+) zero (zipWith (*>) x y)---{- input lists contain roots -}-propOp :: (Eq a, Field.C a, ZeroTestable.C a) =>- ([a] -> [a] -> [a]) -> (a -> a -> a) -> [a] -> [a] -> [Bool]-propOp powerOp op xs ys =- let zs = liftM2 op xs ys- xp = fromPolynomial (Poly.fromRoots xs)- yp = fromPolynomial (Poly.fromRoots ys)- ze = elemSymFromPolynomial (Poly.fromRoots zs)- in zipWith (==) (toElemSym (powerOp xp yp)) ze- -- PolyCore.equal (toElemSym (powerOp xp yp)) ze
− src-ghc-6.12/MathObj/RefinementMask2.hs
@@ -1,171 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module MathObj.RefinementMask2 (- T, coeffs, fromCoeffs,- fromPolynomial,- toPolynomial,- toPolynomialFast,- refinePolynomial,- ) where--import qualified MathObj.Polynomial as Poly-import qualified Algebra.RealField as RealField-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Vector as Vector--import qualified Data.List as List-import qualified Data.List.HT as ListHT-import qualified Data.List.Match as Match-import Control.Monad (liftM2, )--import qualified Test.QuickCheck as QC--import qualified NumericPrelude.List.Generic as NPList-import NumericPrelude.Base-import NumericPrelude.Numeric---newtype T a = Cons {coeffs :: [a]}---{-# INLINE fromCoeffs #-}-fromCoeffs :: [a] -> T a-fromCoeffs = lift0--{-# INLINE lift0 #-}-lift0 :: [a] -> T a-lift0 = Cons--{--{-# INLINE lift1 #-}-lift1 :: ([a] -> [a]) -> (T a -> T a)-lift1 f (Cons x0) = Cons (f x0)--{-# INLINE lift2 #-}-lift2 :: ([a] -> [a] -> [a]) -> (T a -> T a -> T a)-lift2 f (Cons x0) (Cons x1) = Cons (f x0 x1)--}--{--Functor instance is e.g. useful for converting number types,-say 'Rational' to 'Double'.--}--instance Functor T where- fmap f (Cons xs) = Cons (map f xs)--{-# INLINE appPrec #-}-appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons xs) =- showParen (p >= appPrec)- (showString "RefinementMask2.fromCoeffs " . shows xs)--instance (QC.Arbitrary a, Field.C a) => QC.Arbitrary (T a) where- arbitrary =- liftM2- (\degree body ->- let s = sum body- in Cons $ map ((2 ^- degree - s) / NPList.lengthLeft body +) body)- (QC.choose (-5,0)) QC.arbitrary---{- |-Determine mask by Gauss elimination.--R - alternating binomial coefficients-L - differences of translated polynomials in columns--p2 = L * R^(-1) * m--R * L^(-1) * p2 = m--}-fromPolynomial ::- (Field.C a) => Poly.T a -> T a-fromPolynomial poly =- fromCoeffs $- foldr (\p ps ->- ListHT.mapAdjacent (-) (p:ps++[0]))- [] $- foldr (\(db,dp) cs ->- ListHT.switchR- (error "RefinementMask2.fromPolynomial: polynomial should be non-empty")- (\dps dpe ->- cs ++ [(db - Ring.scalarProduct dps cs) / dpe])- dp) [] $- zip- (Poly.coeffs $ Poly.dilate 2 poly)- (List.transpose $- Match.take (Poly.coeffs poly) $- map Poly.coeffs $- iterate polynomialDifference poly)--polynomialDifference ::- (Ring.C a) => Poly.T a -> Poly.T a-polynomialDifference poly =- Poly.fromCoeffs $ init $ Poly.coeffs $- Poly.translate 1 poly - poly--{- |-If the mask does not sum up to a power of @1/2@-then the function returns 'Nothing'.--}-toPolynomial ::- (RealField.C a) => T a -> Maybe (Poly.T a)-toPolynomial (Cons []) = Just $ Poly.fromCoeffs []-toPolynomial mask =- let s = sum $ coeffs mask- ks = reverse $ takeWhile (<=1) $ iterate (2*) s- in case ks of- 1:ks0 ->- Just $- foldl- (\p k ->- let ip = Poly.integrate zero p- in ip + Poly.const (correctConstant (fmap (k/s*) mask) ip))- (Poly.const 1) ks0- _ -> Nothing-{--> fmap (6 Vector.*>) $ toPolynomial (Cons [0.1, 0.02, 0.005::Rational])-Just (Polynomial.fromCoeffs [-12732 % 109375, 272 % 625, -18 % 25, 1 % 1])--}--{--The constant term must be zero,-higher terms must already satisfy the refinement constraint.--}-correctConstant ::- (Field.C a) => T a -> Poly.T a -> a-correctConstant mask poly =- let refined = refinePolynomial mask poly- in head (Poly.coeffs refined) / (1 - sum (coeffs mask))--toPolynomialFast ::- (RealField.C a) => T a -> Maybe (Poly.T a)-toPolynomialFast mask =- let s = sum $ coeffs mask- ks = reverse $ takeWhile (<=1) $ iterate (2*) s- in case ks of- 1:ks0 ->- Just $- foldl- (\p k ->- let ip = Poly.integrate zero p- c = head (Poly.coeffs (refinePolynomial mask ip))- in ip + Poly.const (c*k / ((1-k)*s)))- (Poly.const 1) ks0- _ -> Nothing--refinePolynomial ::- (Ring.C a) => T a -> Poly.T a -> Poly.T a-refinePolynomial mask =- Poly.shrink 2 .- Vector.linearComb (coeffs mask) .- iterate (Poly.translate 1)-{--> mapM_ print $ take 50 $ iterate (refinePolynomial (Cons [0.1, 0.02, 0.005])) (Poly.fromCoeffs [0,0,0,1::Double])-...-Polynomial.fromCoeffs [-0.11640685714285712,0.4351999999999999,-0.7199999999999999,1.0]--}
− src-ghc-6.12/MathObj/RootSet.hs
@@ -1,171 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2004-2005--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Computations on the set of roots of a polynomial.-These are represented as the list of their elementar symmetric terms.-The difference between a polynomial and the list of elementar symmetric terms-is the reversed order and the alternated signs.--Cf. /MathObj.PowerSum/ .--}-module MathObj.RootSet where--import qualified MathObj.Polynomial as Poly-import qualified MathObj.Polynomial.Core as PolyCore-import qualified MathObj.PowerSum as PowerSum--import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Data.List.Match as Match-import Control.Monad (liftM2)--import NumericPrelude.Base as P hiding (const)-import NumericPrelude.Numeric as NP---newtype T a = Cons {coeffs :: [a]}---{- * Conversions -}--lift0 :: [a] -> T a-lift0 = Cons--lift1 :: ([a] -> [a]) -> (T a -> T a)-lift1 f (Cons x0) = Cons (f x0)--lift2 :: ([a] -> [a] -> [a]) -> (T a -> T a -> T a)-lift2 f (Cons x0) (Cons x1) = Cons (f x0 x1)---const :: (Ring.C a) => a -> T a-const x = Cons [1,x]---toPolynomial :: T a -> Poly.T a-toPolynomial (Cons xs) = Poly.fromCoeffs (reverse xs)--fromPolynomial :: Poly.T a -> T a-fromPolynomial xs = Cons (reverse (Poly.coeffs xs))----toPowerSums :: (Field.C a, ZeroTestable.C a) => [a] -> [a]-toPowerSums = PowerSum.fromElemSymDenormalized--fromPowerSums :: (Field.C a, ZeroTestable.C a) => [a] -> [a]-fromPowerSums = PowerSum.toElemSym---{- | cf. 'MathObj.Polynomial.mulLinearFactor' -}-addRoot :: Ring.C a => a -> [a] -> [a]-addRoot x yt@(y:ys) =- y : (ys + PolyCore.scale x yt)-addRoot _ [] =- error "addRoot: list of elementar symmetric terms must consist at least of a 1"--fromRoots :: Ring.C a => [a] -> [a]-fromRoots = foldl (flip addRoot) [1]----liftPowerSum1Gen :: ([a] -> [a]) -> ([a] -> [a]) ->- ([a] -> [a]) -> ([a] -> [a])-liftPowerSum1Gen fromPS toPS op x =- Match.take x (fromPS (op (toPS x)))--liftPowerSum2Gen :: ([a] -> [a]) -> ([a] -> [a]) ->- ([a] -> [a] -> [a]) -> ([a] -> [a] -> [a])-liftPowerSum2Gen fromPS toPS op x y =- Match.take (undefined : liftM2 (,) (tail x) (tail y))- (fromPS (op (toPS x) (toPS y)))---liftPowerSum1 :: (Field.C a, ZeroTestable.C a) =>- ([a] -> [a]) -> ([a] -> [a])-liftPowerSum1 = liftPowerSum1Gen fromPowerSums toPowerSums--liftPowerSum2 :: (Field.C a, ZeroTestable.C a) =>- ([a] -> [a] -> [a]) -> ([a] -> [a] -> [a])-liftPowerSum2 = liftPowerSum2Gen fromPowerSums toPowerSums--liftPowerSumInt1 :: (Integral.C a, Eq a, ZeroTestable.C a) =>- ([a] -> [a]) -> ([a] -> [a])-liftPowerSumInt1 = liftPowerSum1Gen PowerSum.toElemSymInt PowerSum.fromElemSym--liftPowerSumInt2 :: (Integral.C a, Eq a, ZeroTestable.C a) =>- ([a] -> [a] -> [a]) -> ([a] -> [a] -> [a])-liftPowerSumInt2 = liftPowerSum2Gen PowerSum.toElemSymInt PowerSum.fromElemSym-----{- * Show -}--appPrec :: Int-appPrec = 10--instance (Show a) => Show (T a) where- showsPrec p (Cons xs) =- showParen (p >= appPrec)- (showString "RootSet.Cons " . shows xs)---{- * Additive -}--{- Use binomial expansion of (x+y)^n -}-add :: (Field.C a, ZeroTestable.C a) => [a] -> [a] -> [a]-add = liftPowerSum2 PowerSum.add--addInt :: (Integral.C a, Eq a, ZeroTestable.C a) => [a] -> [a] -> [a]-addInt = liftPowerSumInt2 PowerSum.add--instance (Field.C a, ZeroTestable.C a) => Additive.C (T a) where- zero = const zero- (+) = lift2 add- negate = lift1 PolyCore.alternate---{- * Ring -}--mul :: (Field.C a, ZeroTestable.C a) => [a] -> [a] -> [a]-mul = liftPowerSum2 PowerSum.mul--mulInt :: (Integral.C a, Eq a, ZeroTestable.C a) => [a] -> [a] -> [a]-mulInt = liftPowerSumInt2 PowerSum.mul---pow :: (Field.C a, ZeroTestable.C a) => Integer -> [a] -> [a]-pow n = liftPowerSum1 (PowerSum.pow n)--powInt :: (Integral.C a, Eq a, ZeroTestable.C a) => Integer -> [a] -> [a]-powInt n = liftPowerSumInt1 (PowerSum.pow n)---instance (Field.C a, ZeroTestable.C a) => Ring.C (T a) where- one = const one- fromInteger n = const (fromInteger n)- (*) = lift2 mul- x^n = lift1 (pow n) x---{- * Field.C -}--instance (Field.C a, ZeroTestable.C a) => Field.C (T a) where- recip = lift1 reverse---{- * Algebra -}--instance (Field.C a, ZeroTestable.C a) => Algebraic.C (T a) where- root n = lift1 (PowerSum.root n)
− src-ghc-6.12/Number/Complex.hs
@@ -1,575 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- Rules should be processed -}-{- |-Module : Number.Complex-Copyright : (c) The University of Glasgow 2001-License : BSD-style (see the file libraries/base/LICENSE)--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable (?)--Complex numbers.--}--module Number.Complex- (- -- * Cartesian form- T(real,imag),- imaginaryUnit,- fromReal,-- (+:),- (-:),- scale,- exp,- quarterLeft,- quarterRight,-- -- * Polar form- fromPolar,- cis,- signum,- signumNorm,- toPolar,- magnitude,- magnitudeSqr,- phase,- -- * Conjugate- conjugate,-- -- * Properties- propPolar,-- -- * Auxiliary classes- Power(power),- defltPow,- ) where---- import qualified Number.Ratio as Ratio--import qualified Algebra.NormedSpace.Euclidean as NormedEuc-import qualified Algebra.NormedSpace.Sum as NormedSum-import qualified Algebra.NormedSpace.Maximum as NormedMax--import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.RealTranscendental as RealTrans-import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Units as Units-import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.RealRing as RealRing-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Indexable as Indexable--import Algebra.ZeroTestable(isZero)-import Algebra.Module((*>), (<*>.*>), )-import Algebra.Algebraic((^/), )--import qualified NumericPrelude.Elementwise as Elem-import Algebra.Additive ((<*>.+), (<*>.-), (<*>.-$), )--import Foreign.Storable (Storable (..), )-import qualified Foreign.Storable.Record as Store-import Control.Applicative (liftA2, )--import Test.QuickCheck (Arbitrary, arbitrary, )-import Control.Monad (liftM2, )--import qualified Prelude as P-import NumericPrelude.Base-import NumericPrelude.Numeric hiding (signum, exp, )-import Text.Show.HT (showsInfixPrec, )-import Text.Read.HT (readsInfixPrec, )----- import qualified Data.Typeable as Ty--infix 6 +:, `Cons`--{- * The Complex type -}---- | Complex numbers are an algebraic type.-data T a- = Cons {real :: !a -- ^ real part- ,imag :: !a -- ^ imaginary part- }- deriving (Eq)--{-# INLINE imaginaryUnit #-}-imaginaryUnit :: Ring.C a => T a-imaginaryUnit = zero +: one--{-# INLINE fromReal #-}-fromReal :: Additive.C a => a -> T a-fromReal x = Cons x zero---{-# INLINE plusPrec #-}-plusPrec :: Int-plusPrec = 6--instance (Show a) => Show (T a) where- showsPrec prec (Cons x y) = showsInfixPrec "+:" plusPrec prec x y--instance (Read a) => Read (T a) where- readsPrec prec = readsInfixPrec "+:" plusPrec prec (+:)--instance Functor T where- {-# INLINE fmap #-}- fmap f (Cons x y) = Cons (f x) (f y)--instance (Arbitrary a) => Arbitrary (T a) where- {-# INLINE arbitrary #-}- arbitrary = liftM2 Cons arbitrary arbitrary--instance (Storable a) => Storable (T a) where- sizeOf = Store.sizeOf store- alignment = Store.alignment store- peek = Store.peek store- poke = Store.poke store--store ::- (Storable a) =>- Store.Dictionary (T a)-store =- Store.run $- liftA2 (+:)- (Store.element real)- (Store.element imag)----{- * Functions -}---- | Construct a complex number from real and imaginary part.-{-# INLINE (+:) #-}-(+:) :: a -> a -> T a-(+:) = Cons---- | Construct a complex number with negated imaginary part.-{-# INLINE (-:) #-}-(-:) :: Additive.C a => a -> a -> T a-(-:) x y = Cons x (-y)---- | The conjugate of a complex number.-{- SPECIALISE conjugate :: T Double -> T Double -}-{-# INLINE conjugate #-}-conjugate :: (Additive.C a) => T a -> T a-conjugate (Cons x y) = Cons x (-y)---- | Scale a complex number by a real number.-{- SPECIALISE scale :: Double -> T Double -> T Double -}-{-# INLINE scale #-}-scale :: (Ring.C a) => a -> T a -> T a-scale r = fmap (r*)---- | Exponential of a complex number with minimal type class constraints.-{-# INLINE exp #-}-exp :: (Trans.C a) => T a -> T a-exp (Cons x y) = scale (Trans.exp x) (cis y)---- | Turn the point one quarter to the right.-{-# INLINE quarterRight #-}-{-# INLINE quarterLeft #-}-quarterRight, quarterLeft :: (Additive.C a) => T a -> T a-quarterRight (Cons x y) = Cons y (-x)-quarterLeft (Cons x y) = Cons (-y) x--{- | Scale a complex number to magnitude 1.--For a complex number @z@,-@'abs' z@ is a number with the magnitude of @z@,-but oriented in the positive real direction,-whereas @'signum' z@ has the phase of @z@, but unit magnitude.--}--{- SPECIALISE signum :: T Double -> T Double -}-signum :: (Algebraic.C a, ZeroTestable.C a) => T a -> T a-signum z =- if isZero z- then zero- else scale (recip (magnitude z)) z--{- SPECIALISE signumNorm :: T Double -> T Double -}-{-# INLINE signumNorm #-}-signumNorm :: (Algebraic.C a, NormedEuc.C a a, ZeroTestable.C a) => T a -> T a-signumNorm z =- if isZero z- then zero- else scale (recip (NormedEuc.norm z)) z---- | Form a complex number from polar components of magnitude and phase.-{- SPECIALISE fromPolar :: Double -> Double -> T Double -}-{-# INLINE fromPolar #-}-fromPolar :: (Trans.C a) => a -> a -> T a-fromPolar r theta = scale r (cis theta)---- | @'cis' t@ is a complex value with magnitude @1@--- and phase @t@ (modulo @2*'pi'@).-{- SPECIALISE cis :: Double -> T Double -}-{-# INLINE cis #-}-cis :: (Trans.C a) => a -> T a-cis theta = Cons (cos theta) (sin theta)--propPolar :: (RealTrans.C a) => T a -> Bool-propPolar z = uncurry fromPolar (toPolar z) == z---{- |-The nonnegative magnitude of a complex number.-This implementation respects the limited range of floating point numbers.-The trivial implementation 'magnitude'-would overflow for floating point exponents greater than-the half of the maximum admissible exponent.-We automatically drop in this implementation for 'Float' and 'Double'-by optimizer rules.-You should do so for your custom floating point types.--}-{-# INLINE floatMagnitude #-}-floatMagnitude :: (P.RealFloat a, Algebraic.C a) => T a -> a-floatMagnitude (Cons x y) =- let k = max (P.exponent x) (P.exponent y)- mk = - k- in P.scaleFloat k- (sqrt (P.scaleFloat mk x ^ 2 +- P.scaleFloat mk y ^ 2))--{-# INLINE [1] magnitude #-}-magnitude :: (Algebraic.C a) => T a -> a-magnitude = sqrt . magnitudeSqr--{-# RULES- "Complex.magnitude :: Double"- magnitude = floatMagnitude :: T Double -> Double;-- "Complex.magnitude :: Float"- magnitude = floatMagnitude :: T Float -> Float;- #-}---- like NormedEuc.normSqr with lifted class constraints-{-# INLINE magnitudeSqr #-}-magnitudeSqr :: (Ring.C a) => T a -> a-magnitudeSqr (Cons x y) = x^2 + y^2---- | The phase of a complex number, in the range @(-'pi', 'pi']@.--- If the magnitude is zero, then so is the phase.-{-# INLINE phase #-}-phase :: (RealTrans.C a, ZeroTestable.C a) => T a -> a-phase z =- if isZero z- then zero -- SLPJ July 97 from John Peterson- else case z of (Cons x y) -> atan2 y x---{- |-The function 'toPolar' takes a complex number and-returns a (magnitude, phase) pair in canonical form:-the magnitude is nonnegative, and the phase in the range @(-'pi', 'pi']@;-if the magnitude is zero, then so is the phase.--}-toPolar :: (RealTrans.C a) => T a -> (a,a)-toPolar z = (magnitude z, phase z)----{- * Instances of T -}--{--complexTc = Ty.mkTyCon "Complex.T"-instance Ty.Typeable1 T where { typeOf1 _ = Ty.mkTyConApp complexTc [] }-instance Ty.Typeable a => Ty.Typeable (T a) where { typeOf = Ty.typeOfDefault }--}--instance (Indexable.C a) => Indexable.C (T a) where- {-# INLINE compare #-}- compare (Cons x y) (Cons x' y') = Indexable.compare (x,y) (x',y')--instance (ZeroTestable.C a) => ZeroTestable.C (T a) where- {-# INLINE isZero #-}- isZero (Cons x y) = isZero x && isZero y--instance (Additive.C a) => Additive.C (T a) where- {- SPECIALISE instance Additive.C (T Float) -}- {- SPECIALISE instance Additive.C (T Double) -}- {-# INLINE zero #-}- {-# INLINE negate #-}- {-# INLINE (+) #-}- {-# INLINE (-) #-}- zero = Cons zero zero- (+) = Elem.run2 $ Elem.with Cons <*>.+ real <*>.+ imag- (-) = Elem.run2 $ Elem.with Cons <*>.- real <*>.- imag- negate = Elem.run $ Elem.with Cons <*>.-$ real <*>.-$ imag--instance (Ring.C a) => Ring.C (T a) where- {- SPECIALISE instance Ring.C (T Float) -}- {- SPECIALISE instance Ring.C (T Double) -}- {-# INLINE one #-}- one = Cons one zero- {-# INLINE (*) #-}- (Cons x y) * (Cons x' y') = Cons (x*x'-y*y') (x*y'+y*x')- {-# INLINE fromInteger #-}- fromInteger = fromReal . fromInteger--instance (Absolute.C a, Algebraic.C a) => Absolute.C (T a) where- {- SPECIALISE instance Absolute.C (T Float) -}- {- SPECIALISE instance Absolute.C (T Double) -}- {-# INLINE abs #-}- {-# INLINE signum #-}- abs x = Cons (magnitude x) zero- signum = signum--instance Vector.C T where- {-# INLINE zero #-}- zero = zero- {-# INLINE (<+>) #-}- (<+>) = (+)- {-# INLINE (*>) #-}- (*>) = scale---- | The '(*>)' method can't replace 'scale'--- because it requires the Algebra.Module constraint-instance (Module.C a b) => Module.C a (T b) where- {-# INLINE (*>) #-}- (*>) = Elem.run2 $ Elem.with Cons <*>.*> real <*>.*> imag- -- s *> (Cons x y) = Cons (s *> x) (s *> y)--instance (VectorSpace.C a b) => VectorSpace.C a (T b)--instance (Additive.C a, NormedSum.C a v) => NormedSum.C a (T v) where- {-# INLINE norm #-}- norm x = NormedSum.norm (real x) + NormedSum.norm (imag x)--instance (NormedEuc.Sqr a b) => NormedEuc.Sqr a (T b) where- {-# INLINE normSqr #-}- normSqr x = NormedEuc.normSqr (real x) + NormedEuc.normSqr (imag x)--instance (Algebraic.C a, NormedEuc.Sqr a b) => NormedEuc.C a (T b) where- {-# INLINE norm #-}- norm = NormedEuc.defltNorm--instance (Ord a, NormedMax.C a v) => NormedMax.C a (T v) where- {-# INLINE norm #-}- norm x = max (NormedMax.norm (real x)) (NormedMax.norm (imag x))---{-- In this implementation the complex plane is structured- as an orthogonal grid induced by the divisor z'.- The coordinate of a cell within this grid is returned as quotient- and the position of the cell in the grid is returned as remainder.- The magnitude of the remainder might be larger than that of the divisor- thus the Euclidean algorithm can fail.--}--instance (Integral.C a) => Integral.C (T a) where- divMod z z' =- let denom = magnitudeSqr z'- zBig = z * conjugate z'- q = fmap (flip div denom) zBig- in (q, z-q*z')---{-- This variant of divMod tries to come close to the origin.- Thus the remainder has smaller magnitude than the divisor.- This variant of divModCent can be used for Euclidean's algorithm.--}-{-# INLINE divModCent #-}-divModCent :: (Ord a, Integral.C a) => T a -> T a -> (T a, T a)-divModCent z z' =- let denom = magnitudeSqr z'- zBig = z * conjugate z'- re = divMod (real zBig) denom- im = divMod (imag zBig) denom- q = Cons (fst re) (fst im)- r = Cons (snd re) (snd im)- q' = Cons- (real q + if 2 * real r > denom then one else zero)- (imag q + if 2 * imag r > denom then one else zero)- in (q', z-q'*z')--{-# INLINE modCent #-}-modCent :: (Ord a, Integral.C a) => T a -> T a -> T a-modCent z z' = snd (divModCent z z')--instance (Ord a, Units.C a) => Units.C (T a) where- {-# INLINE isUnit #-}- isUnit (Cons x y) =- isUnit x && y==zero ||- isUnit y && x==zero- {-# INLINE stdAssociate #-}- stdAssociate z@(Cons x y) =- let z' = if y<0 || y==0 && x<0 then negate z else z- in if real z'<=0 then quarterRight z' else z'- {-# INLINE stdUnit #-}- stdUnit z@(Cons x y) =- if z==zero- then 1- else- let (x',sgn') = if y<0 || y==0 && x<0- then (negate x, -1)- else (x, 1)- in if x'<=0 then quarterLeft sgn' else sgn'---instance (Ord a, ZeroTestable.C a, Units.C a) => PID.C (T a) where- {-# INLINE gcd #-}- gcd = euclid modCent- {-# INLINE extendedGCD #-}- extendedGCD = extendedEuclid divModCent---{-# INLINE [1] divide #-}-divide :: (Field.C a) => T a -> T a -> T a-divide (Cons x y) z'@(Cons x' y') =- let d = magnitudeSqr z'- in Cons ((x*x'+y*y') / d) ((y*x'-x*y') / d)---- | Special implementation of @(\/)@ for floating point numbers--- which prevent intermediate overflows.-{-# INLINE floatDivide #-}-floatDivide :: (P.RealFloat a, Field.C a) => T a -> T a -> T a-floatDivide (Cons x y) (Cons x' y') =- let k = - max (P.exponent x') (P.exponent y')- x'' = P.scaleFloat k x'- y'' = P.scaleFloat k y'- d = x'*x'' + y'*y''- in Cons ((x*x''+y*y'') / d) ((y*x''-x*y'') / d)--{-# RULES- "Complex.divide :: Double"- divide = floatDivide :: T Double -> T Double -> T Double;-- "Complex.divide :: Float"- divide = floatDivide :: T Float -> T Float -> T Float;- #-}-----instance (Field.C a) => Field.C (T a) where- {-# INLINE (/) #-}- (/) = divide- {-# INLINE fromRational' #-}- fromRational' = fromReal . fromRational'--{-|- We like to build the Complex Algebraic instance- on top of the Algebraic instance of the scalar type.- This poses no problem to 'sqrt'.- However, 'Number.Complex.root' requires computing the complex argument- which is a transcendent operation.- In order to keep the type class dependencies clean- for more sophisticated algebraic number types,- we introduce a type class which actually performs the radix operation.--}-class (Algebraic.C a) => (Power a) where- power :: Rational -> T a -> T a---{-# INLINE defltPow #-}-defltPow :: (RealTrans.C a) =>- Rational -> T a -> T a-defltPow r x =- let (mag,arg) = toPolar x- in fromPolar (mag ^/ r)- (arg * fromRational' r)---instance Power Float where- {-# INLINE power #-}- power = defltPow--instance Power Double where- {-# INLINE power #-}- power = defltPow---instance (RealRing.C a, Algebraic.C a, Power a) =>- Algebraic.C (T a) where- -- | the real part of the result is always non-negative- {-# INLINE sqrt #-}- sqrt z@(Cons x y) = if z == zero- then zero- else- let u' = sqrt ((magnitude z + abs x) / 2)- v' = abs y / (u'*2)- (u,v) = if x < 0 then (v',u') else (u',v')- in Cons u (if y < 0 then -v else v)- {-# INLINE (^/) #-}- (^/) = flip power---instance (RealRing.C a, RealTrans.C a, Power a) =>- Trans.C (T a) where- {- SPECIALISE instance Trans.C (T Float) -}- {- SPECIALISE instance Trans.C (T Double) -}- {-# INLINE pi #-}- pi = fromReal pi- {-# INLINE exp #-}- exp = exp- {-# INLINE log #-}- log z = let (m,p) = toPolar z in Cons (log m) p-- -- use defaults for tan, tanh-- {-# INLINE sin #-}- sin (Cons x y) = Cons (sin x * cosh y) ( cos x * sinh y)- {-# INLINE cos #-}- cos (Cons x y) = Cons (cos x * cosh y) (- sin x * sinh y)-- {-# INLINE sinh #-}- sinh (Cons x y) = Cons (cos y * sinh x) (sin y * cosh x)- {-# INLINE cosh #-}- cosh (Cons x y) = Cons (cos y * cosh x) (sin y * sinh x)-- {-# INLINE asin #-}- asin z = quarterRight (log (quarterLeft z + sqrt (1 - z^2)))- {-# INLINE acos #-}- acos z = quarterRight (log (z + quarterLeft (sqrt (1 - z^2))))- {-# INLINE atan #-}- atan z@(Cons x y) = quarterRight (log (Cons (1-y) x / sqrt (1+z^2)))--{- use the default implementation- asinh z = log (z + sqrt (1+z^2))- acosh z = log (z + (z+1) * sqrt ((z-1)/(z+1)))- atanh z = log ((1+z) / sqrt (1-z^2))--}---{- * legacy instances -}--{-# INLINE legacyInstance #-}-legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance (Ring.C a, Eq a, Show a) => P.Num (T a) where- {-# INLINE fromInteger #-}- fromInteger = fromReal . fromInteger- {-# INLINE negate #-}- negate = negate -- for unary minus- {-# INLINE (+) #-}- (+) = legacyInstance- {-# INLINE (*) #-}- (*) = legacyInstance- {-# INLINE abs #-}- abs = legacyInstance- {-# INLINE signum #-}- signum = legacyInstance--instance (Field.C a, Eq a, Show a) => P.Fractional (T a) where- {-# INLINE fromRational #-}- fromRational = fromRational- {-# INLINE (/) #-}- (/) = legacyInstance
− src-ghc-6.12/Number/ComplexSquareRoot.hs
@@ -1,119 +0,0 @@-module Number.ComplexSquareRoot where---- import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.RealField as RealField-import qualified Algebra.RealRing as RealRing--- import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Number.Complex as Complex--import Algebra.ZeroTestable(isZero, )--import Test.QuickCheck (Arbitrary, arbitrary, )--import Control.Monad (liftM2, )--import qualified NumericPrelude.Numeric as NP-import NumericPrelude.Numeric hiding (recip, )-import NumericPrelude.Base-import Prelude ()--{- |-Represent the square root of a complex number-without actually having to compute a square root.-If the Bool is False,-then the square root is represented with positive real part-or zero real part and positive imaginary part.-If the Bool is True the square root is negated.--}-data T a = Cons Bool (Complex.T a)- deriving (Show)--{- |-You must use @fmap@ only for number type conversion.--}-instance Functor T where- fmap f (Cons n x) = Cons n (fmap f x)--instance (ZeroTestable.C a) => ZeroTestable.C (T a) where- isZero (Cons _b s) = isZero s--instance (ZeroTestable.C a, Eq a) => Eq (T a) where- (Cons xb xs) == (Cons yb ys) =- isZero xs && isZero ys ||- xb==yb && xs==ys--instance (Arbitrary a) => Arbitrary (T a) where- arbitrary = liftM2 Cons arbitrary arbitrary---fromNumber :: (RealRing.C a) => Complex.T a -> T a-fromNumber x =- Cons- (case compare zero (Complex.real x) of- LT -> False- GT -> True- EQ -> Complex.imag x < zero)- (x^2)---- htam:Wavelet.DyadicResultant.parityFlip-toNumber :: (RealRing.C a, Complex.Power a) => T a -> Complex.T a-toNumber (Cons n x) =- case sqrt x of y -> if n then NP.negate y else y---one :: (Ring.C a) => T a-one = Cons False NP.one--inUpperHalfplane :: (Additive.C a, Ord a) => Complex.T a -> Bool-inUpperHalfplane x =- case compare (Complex.imag x) zero of- GT -> True- LT -> False- EQ -> Complex.real x < zero--mul, mulAlt, mulAlt2 :: (RealRing.C a) => T a -> T a -> T a-mul (Cons xb xs) (Cons yb ys) =- let zs = xs*ys- in Cons- ((xb /= yb) /=- case (inUpperHalfplane xs,- inUpperHalfplane ys,- inUpperHalfplane zs) of- (True,True,False) -> True- (False,False,True) -> True- _ -> False)- zs--mulAlt (Cons xb xs) (Cons yb ys) =- let zs = xs*ys- in Cons- ((xb /= yb) /=- let xi = Complex.imag xs- yi = Complex.imag ys- zi = Complex.imag zs- in (xi>=zero) /= (yi>=zero) &&- (xi>=zero) /= (zi>=zero))- zs--mulAlt2 (Cons xb xs) (Cons yb ys) =- let zs = xs*ys- in Cons- ((xb /= yb) /=- let xi = Complex.imag xs- yi = Complex.imag ys- zi = Complex.imag zs- in xi*yi<zero && xi*zi<zero)- zs--div :: (RealField.C a) => T a -> T a -> T a-div x y = mul x (recip y)--recip :: (RealField.C a) => T a -> T a-recip (Cons b s) =- Cons- (b /= (Complex.imag s == zero && Complex.real s < zero))- (NP.recip s)
− src-ghc-6.12/Number/DimensionTerm.hs
@@ -1,216 +0,0 @@-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Henning Thielemann 2008-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable---See "Algebra.DimensionTerm".--}--module Number.DimensionTerm where--import qualified Algebra.DimensionTerm as Dim--import qualified Algebra.OccasionallyScalar as OccScalar-import qualified Algebra.Module as Module-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import Algebra.Field ((/), fromRational', )-import Algebra.Ring ((*), one, fromInteger, )-import Algebra.Additive ((+), (-), zero, negate, )-import Algebra.Module ((*>), )--import System.Random (Random, randomR, random)--import Data.Tuple.HT (mapFst, )-import NumericPrelude.Base-import Prelude ()---{- * Number type -}--newtype T u a = Cons a- deriving (Eq, Ord)---instance (Dim.C u, Show a) => Show (T u a) where- showsPrec p x =- let disect :: T u a -> (u,a)- disect (Cons y) = (undefined, y)- (u,z) = disect x- in showParen (p >= Dim.appPrec)- (showString "DimensionNumber.fromNumberWithDimension " . showsPrec Dim.appPrec u .- showString " " . showsPrec Dim.appPrec z)---fromNumber :: a -> Scalar a-fromNumber = Cons--toNumber :: Scalar a -> a-toNumber (Cons x) = x--fromNumberWithDimension :: Dim.C u => u -> a -> T u a-fromNumberWithDimension _ = Cons--toNumberWithDimension :: Dim.C u => u -> T u a -> a-toNumberWithDimension _ (Cons x) = x---instance (Dim.C u, Additive.C a) => Additive.C (T u a) where- zero = Cons zero- (Cons a) + (Cons b) = Cons (a+b)- (Cons a) - (Cons b) = Cons (a-b)- negate (Cons a) = Cons (negate a)--instance (Dim.C u, Module.C a b) => Module.C a (T u b) where- a *> (Cons b) = Cons (a *> b)--instance (Dim.IsScalar u, Ring.C a) => Ring.C (T u a) where- one = Cons one- (Cons a) * (Cons b) = Cons (a*b)- fromInteger a = Cons (fromInteger a)--instance (Dim.IsScalar u, Field.C a) => Field.C (T u a) where- (Cons a) / (Cons b) = Cons (a/b)- recip (Cons a) = Cons (Field.recip a)- fromRational' a = Cons (fromRational' a)--instance (Dim.IsScalar u, OccScalar.C a b) => OccScalar.C a (T u b) where- toScalar =- OccScalar.toScalar . toNumber . rewriteDimension Dim.toScalar- toMaybeScalar =- OccScalar.toMaybeScalar . toNumber . rewriteDimension Dim.toScalar- fromScalar =- rewriteDimension Dim.fromScalar . fromNumber . OccScalar.fromScalar--instance (Dim.C u, Random a) => Random (T u a) where- randomR (Cons l, Cons u) = mapFst Cons . randomR (l,u)- random = mapFst Cons . random---infixl 7 &*&, *&-infixl 7 &/&--(&*&) :: (Dim.C u, Dim.C v, Ring.C a) =>- T u a -> T v a -> T (Dim.Mul u v) a-(&*&) (Cons x) (Cons y) = Cons (x Ring.* y)--(&/&) :: (Dim.C u, Dim.C v, Field.C a) =>- T u a -> T v a -> T (Dim.Mul u (Dim.Recip v)) a-(&/&) (Cons x) (Cons y) = Cons (x Field./ y)--mulToScalar :: (Dim.C u, Ring.C a) =>- T u a -> T (Dim.Recip u) a -> a-mulToScalar x y = cancelToScalar (x &*& y)--divToScalar :: (Dim.C u, Field.C a) =>- T u a -> T u a -> a-divToScalar x y = cancelToScalar (x &/& y)--cancelToScalar :: (Dim.C u) =>- T (Dim.Mul u (Dim.Recip u)) a -> a-cancelToScalar =- toNumber . rewriteDimension Dim.cancelRight---recip :: (Dim.C u, Field.C a) =>- T u a -> T (Dim.Recip u) a-recip (Cons x) = Cons (Field.recip x)--unrecip :: (Dim.C u, Field.C a) =>- T (Dim.Recip u) a -> T u a-unrecip (Cons x) = Cons (Field.recip x)--sqr :: (Dim.C u, Ring.C a) =>- T u a -> T (Dim.Sqr u) a-sqr x = x &*& x--sqrt :: (Dim.C u, Algebraic.C a) =>- T (Dim.Sqr u) a -> T u a-sqrt (Cons x) = Cons (Algebraic.sqrt x)---abs :: (Dim.C u, Absolute.C a) => T u a -> T u a-abs (Cons x) = Cons (Absolute.abs x)--absSignum :: (Dim.C u, Absolute.C a) => T u a -> (T u a, a)-absSignum x0@(Cons x) = (abs x0, Absolute.signum x)--scale, (*&) :: (Dim.C u, Ring.C a) =>- a -> T u a -> T u a-scale x (Cons y) = Cons (x Ring.* y)--(*&) = scale---rewriteDimension :: (Dim.C u, Dim.C v) => (u -> v) -> T u a -> T v a-rewriteDimension _ (Cons x) = Cons x---{--type class for converting Dim types to Dim value is straight-forward- class SIDimensionType u where- dynamic :: DimensionNumber u a -> SIValue a-- instance SIDimensionType Scalar where- dynamic (DimensionNumber.Cons x) = SIValue.scalar x-- instance SIDimensionType Length where- dynamic (DimensionNumber.Cons x) = SIValue.meter * dynamic x--}---{- * Example constructors -}--type Scalar a = T Dim.Scalar a-type Length a = T Dim.Length a-type Time a = T Dim.Time a-type Mass a = T Dim.Mass a-type Charge a = T Dim.Charge a-type Angle a = T Dim.Angle a-type Temperature a = T Dim.Temperature a-type Information a = T Dim.Information a--type Frequency a = T Dim.Frequency a-type Voltage a = T Dim.Voltage a---scalar :: a -> Scalar a-scalar = fromNumber--length :: a -> Length a-length = Cons--time :: a -> Time a-time = Cons--mass :: a -> Mass a-mass = Cons--charge :: a -> Charge a-charge = Cons--frequency :: a -> Frequency a-frequency = Cons--angle :: a -> Angle a-angle = Cons--temperature :: a -> Temperature a-temperature = Cons--information :: a -> Information a-information = Cons---voltage :: a -> Voltage a-voltage = Cons
− src-ghc-6.12/Number/DimensionTerm/SI.hs
@@ -1,125 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2003-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Special physical units: SI unit system--}--module Number.DimensionTerm.SI (- second, minute, hour, day, year,- hertz,- meter,- -- liter,- gramm, tonne,- -- newton,- -- pascal,- -- bar,- -- joule,- -- watt,- coulomb,- -- ampere,- volt,- -- ohm,- -- farad,- kelvin,- bit, byte,- -- baud,-- inch, foot, yard, astronomicUnit, parsec,-- SI.yocto, SI.zepto, SI.atto, SI.femto, SI.pico, SI.nano,- SI.micro, SI.milli, SI.centi, SI.deci, SI.one, SI.deca,- SI.hecto, SI.kilo, SI.mega, SI.giga, SI.tera, SI.peta,- SI.exa, SI.zetta, SI.yotta,- ) where---- import qualified Algebra.Transcendental as Trans-import qualified Algebra.Field as Field---- import qualified Algebra.DimensionTerm as Dim-import qualified Number.DimensionTerm as DN-import qualified Number.SI.Unit as SI---- aimport NumericPrelude.Base hiding (length)-import NumericPrelude.Numeric hiding (one)---second :: Field.C a => DN.Time a-second = DN.time 1e+0-minute :: Field.C a => DN.Time a-minute = DN.time SI.secondsPerMinute-hour :: Field.C a => DN.Time a-hour = DN.time SI.secondsPerHour-day :: Field.C a => DN.Time a-day = DN.time SI.secondsPerDay-year :: Field.C a => DN.Time a-year = DN.time SI.secondsPerYear-hertz :: Field.C a => DN.Frequency a-hertz = DN.frequency 1e+0-meter :: Field.C a => DN.Length a-meter = DN.length 1e+0--- liter :: Field.C a => DN.Volume a--- liter = DN.volume 1e-3-gramm :: Field.C a => DN.Mass a-gramm = DN.mass 1e-3-tonne :: Field.C a => DN.Mass a-tonne = DN.mass 1e+3--- newton :: Field.C a => DN.Force a--- newton = DN.force 1e+0--- pascal :: Field.C a => DN.Pressure a--- pascal = DN.pressure 1e+0--- bar :: Field.C a => DN.Pressure a--- bar = DN.pressure 1e+5--- joule :: Field.C a => DN.Energy a--- joule = DN.energy 1e+0--- watt :: Field.C a => DN.Power a--- watt = DN.power 1e+0-coulomb :: Field.C a => DN.Charge a-coulomb = DN.charge 1e+0--- ampere :: Field.C a => DN.Current a--- ampere = DN.current 1e+0-volt :: Field.C a => DN.Voltage a-volt = DN.voltage 1e+0--- ohm :: Field.C a => DN.Resistance a--- ohm = DN.resistance 1e+0--- farad :: Field.C a => DN.Capacitance a--- farad = DN.capacitance 1e+0-kelvin :: Field.C a => DN.Temperature a-kelvin = DN.temperature 1e+0-bit :: Field.C a => DN.Information a-bit = DN.information 1e+0-byte :: Field.C a => DN.Information a-byte = DN.information SI.bytesize--- baud :: Field.C a => DN.DataRate a--- baud = DN.dataRate 1e+0--inch, foot, yard, astronomicUnit, parsec- :: Field.C a => DN.Length a--inch = DN.length SI.meterPerInch-foot = DN.length SI.meterPerFoot-yard = DN.length SI.meterPerYard-astronomicUnit = DN.length SI.meterPerAstronomicUnit-parsec = DN.length SI.meterPerParsec--{--accelerationOfEarthGravity :: Field.C a => DN.Acceleration a-accelerationOfEarthGravity = DN.acceleration SI.accelerationOfEarthGravity--mach :: Field.C a => DN.Speed a-speedOfLight :: Field.C a => DN.Speed a-electronVolt :: Field.C a => DN.Energy a-calorien :: Field.C a => DN.Energy a-horsePower :: Field.C a => DN.Power a--mach = DN.speed SI.mach-speedOfLight = DN.speed SI.speedOfLight-electronVolt = DN.energy SI.electronVolt-calorien = DN.energy SI.calorien-horsePower = DN.power SI.horsePower--}
− src-ghc-6.12/Number/FixedPoint.hs
@@ -1,235 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2006--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : requires multi-parameter type classes--Fixed point numbers.-They are implemented as ratios with fixed denominator.-Many routines fail for some arguments.-When they work,-they can be useful for obtaining approximations of some constants.-We have not paid attention to rounding errors-and thus some of the trailing digits may be wrong.--}-module Number.FixedPoint where--import qualified Algebra.RealRing as RealRing--- import qualified Algebra.Additive as Additive--- import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Transcendental as Trans-import qualified MathObj.PowerSeries.Example as PSE--import NumericPrelude.List (mapLast, )-import Data.Function.HT (powerAssociative, )-import Data.List.HT (dropWhileRev, padLeft, )-import Data.Maybe.HT (toMaybe, )-import Data.List (transpose, unfoldr, )-import Data.Char (intToDigit, )--import NumericPrelude.Base-import NumericPrelude.Numeric hiding (recip, sqrt, exp, sin, cos, tan,- fromRational')--import qualified NumericPrelude.Numeric as NP---{- ** Conversion -}--{- ** other number types -}--fromFloat :: RealRing.C a => Integer -> a -> Integer-fromFloat den x =- round (x * NP.fromInteger den)---- | denominator conversion-fromFixedPoint :: Integer -> Integer -> Integer -> Integer-fromFixedPoint denDst denSrc x = div (x*denDst) denSrc---{- ** text -}--{- |-very efficient because it can make use of the decimal output of 'show'--}-showPositionalDec :: Integer -> Integer -> String-showPositionalDec den = liftShowPosToInt $ \x ->- let packetSize = 50 -- process digits in packets of this size- basis = ringPower packetSize 10- (int,frac) = toPositional basis den x- in show int ++ "." ++- concat (mapLast (dropWhileRev ('0'==))- (map (padLeft '0' packetSize . show) frac))--showPositionalHex :: Integer -> Integer -> String-showPositionalHex = showPositionalBasis 16--showPositionalBin :: Integer -> Integer -> String-showPositionalBin = showPositionalBasis 2--showPositionalBasis :: Integer -> Integer -> Integer -> String-showPositionalBasis basis den = liftShowPosToInt $ \x ->- let (int,frac) = toPositional basis den x- in show int ++ "." ++ map (intToDigit . fromInteger) frac--liftShowPosToInt :: (Integer -> String) -> (Integer -> String)-liftShowPosToInt f n =- if n>=0- then f n- else '-' : f (-n)--toPositional :: Integer -> Integer -> Integer -> (Integer, [Integer])-toPositional basis den x =- let (int, frac) = divMod x den- in (int, unfoldr (\rm -> toMaybe (rm/=0) (divMod (basis*rm) den)) frac)---{- * Additive -}--add :: Integer -> Integer -> Integer -> Integer-add _ = (+)--sub :: Integer -> Integer -> Integer -> Integer-sub _ = (-)---{- * Ring -}--mul :: Integer -> Integer -> Integer -> Integer-mul den x y = div (x*y) den---{- * Field -}--divide :: Integer -> Integer -> Integer -> Integer-divide den x y = div (x*den) y--recip :: Integer -> Integer -> Integer-recip den x = div (den^2) x---{- * Algebra -}--{--Newton's method for computing roots.--}--magnitudes :: [Integer]-magnitudes =- concat (transpose [iterate (^2) 4, iterate (^2) 8])--{--Maybe we can speed up the algorithm-by calling sqrt recursively on deflated arguments.--}-sqrt :: Integer -> Integer -> Integer-sqrt den x =- let xden = x*den- initial = fst (head (dropWhile ((<= xden) . snd)- (zip magnitudes (tail (tail magnitudes)))))- approxs = iterate (\y -> div (y + div xden y) 2) initial- isRoot y = y^2 <= xden && xden < (y+1)^2- in head (dropWhile (not . isRoot) approxs)---- bug: needs too long: root (12::Int) (fromIntegerBase 10 1000 2)-root :: Integer -> Integer -> Integer -> Integer-root n den x =- let n1 = n-1- xden = x * den^n1- initial = fst (head (dropWhile ((\y -> y^n <= xden) . snd)- (zip magnitudes (tail magnitudes))))- approxs = iterate (\y -> div (n1*y + div xden (y^n1)) n) initial- isRoot y = y^n <= xden && xden < (y+1)^n- in head (dropWhile (not . isRoot) approxs)----{- * Transcendental -}---- very simple evaluation by power series with lots of rounding errors-evalPowerSeries :: [Rational] -> Integer -> Integer -> Integer-evalPowerSeries series den x =- let powers = iterate (mul den x) den- summands = zipWith (\c p -> round (c * fromInteger p)) series powers- in sum (map snd (takeWhile (\(c,s) -> s/=0 || c==0)- (zip series summands)))--cos, sin, tan :: Integer -> Integer -> Integer-cos = evalPowerSeries PSE.cos-sin = evalPowerSeries PSE.sin--- tan will suffer from inaccuracies for small cosine-tan den x = divide den (sin den x) (cos den x)---- it must abs x <= den-arctanSmall :: Integer -> Integer -> Integer-arctanSmall = evalPowerSeries PSE.atan---- will fail for large inputs-arctan :: Integer -> Integer -> Integer-arctan den x =- let estimate = fromFloat den- (Trans.atan (NP.fromRational' (x % den)) :: Double)- tanEst = tan den estimate- residue = divide den (x-tanEst) (den + mul den x tanEst)- in estimate + arctanSmall den residue--piConst :: Integer -> Integer-piConst den =- let den4 = 4*den- stArcTan k x = let d = k*den4 in arctanSmall d (div d x)- in {- formula 4 * (8 * arctan (1/10) - arctan (1/239) - 4 * arctan (1/515))- from "Bartsch: Mathematische Formeln" -}- -- (stArcTan 8 10 - stArcTan 1 239 - stArcTan 4 515)- -- formula by Stoermer- (stArcTan 44 57 + stArcTan 7 239 - stArcTan 12 682 + stArcTan 24 12943)---expSmall :: Integer -> Integer -> Integer-expSmall = evalPowerSeries PSE.exp--eConst :: Integer -> Integer-eConst den = expSmall den den--recipEConst :: Integer -> Integer-recipEConst den = expSmall den (-den)--exp :: Integer -> Integer -> Integer-exp den x =- let den2 = div den 2- (int,frac) = divMod (x + den2) den- expFrac = expSmall den (frac-den2)- in case compare int 0 of- EQ -> expFrac- GT -> powerAssociative (mul den) expFrac (eConst den) int- LT -> powerAssociative (mul den) expFrac (recipEConst den) (-int)- -- LT -> nest (-int) (divide den e) expFrac---approxLogBase :: Integer -> Integer -> (Int, Integer)-approxLogBase base x =- until ((<=base) . snd) (\(xE,xM) -> (succ xE, div xM base)) (0,x)--lnSmall :: Integer -> Integer -> Integer-lnSmall den x =- evalPowerSeries PSE.log den (x-den)---- uses Double's log for an estimate and dramatic speed up-ln :: Integer -> Integer -> Integer-ln den x =- let fac = 10^50 {- A constant which is representable by Double- and which will quickly split our number it pieces- small enough for Double. -}- (denE, denM) = approxLogBase fac den- (xE, xM) = approxLogBase fac x- approxDouble :: Double- approxDouble =- log (NP.fromInteger fac) * fromIntegral (xE-denE) +- log (NP.fromInteger xM / NP.fromInteger denM)- {- We convert first with respect to @fac@- in order to keep in the range of Double values. -}- approxFac = round (approxDouble * NP.fromInteger fac)- approx = fromFixedPoint den fac approxFac- xSmall = divide den x (exp den approx)- in add den approx (lnSmall den xSmall)
− src-ghc-6.12/Number/FixedPoint/Check.hs
@@ -1,194 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Number.FixedPoint.Check where--import qualified Number.FixedPoint as FP--import qualified MathObj.PowerSeries.Example as PSE--import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.RealRing as RealRing-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import NumericPrelude.Base-import NumericPrelude.Numeric hiding (fromRational')--import qualified Prelude as P98-import qualified NumericPrelude.Numeric as NP---{- * Types -}--data T = Cons {denominator :: Integer, numerator :: Integer}---{- * Conversion -}--cons :: Integer -> Integer -> T-cons = Cons--{- ** other number types -}--fromFloat :: RealRing.C a => Integer -> a -> T-fromFloat den x =- cons den (FP.fromFloat den x)--fromInteger' :: Integer -> Integer -> T-fromInteger' den x =- cons den (x * den)--fromRational' :: Integer -> Rational -> T-fromRational' den x =- cons den (round (x * NP.fromInteger den))--fromFloatBasis :: RealRing.C a => Integer -> Int -> a -> T-fromFloatBasis basis numDigits =- fromFloat (ringPower numDigits basis)--fromIntegerBasis :: Integer -> Int -> Integer -> T-fromIntegerBasis basis numDigits =- fromInteger' (ringPower numDigits basis)--fromRationalBasis :: Integer -> Int -> Rational -> T-fromRationalBasis basis numDigits =- fromRational' (ringPower numDigits basis)---- | denominator conversion-fromFixedPoint :: Integer -> T -> T-fromFixedPoint denDst (Cons denSrc x) =- cons denDst (FP.fromFixedPoint denDst denSrc x)---{- * Lift core function -}--lift0 :: Integer -> (Integer -> Integer) -> T-lift0 den f = Cons den (f den)--lift1 :: (Integer -> Integer -> Integer) -> (T -> T)-lift1 f (Cons xd xn) = Cons xd (f xd xn)--lift2 :: (Integer -> Integer -> Integer -> Integer) -> (T -> T -> T)-lift2 f (Cons xd xn) (Cons yd yn) =- commonDenominator xd yd $ Cons xd (f xd xn yn)--commonDenominator :: Integer -> Integer -> a -> a-commonDenominator xd yd z =- if xd == yd- then z- else error "Number.FixedPoint: denominators differ"---{- * Show -}--appPrec :: Int-appPrec = 10--instance Show T where- showsPrec p (Cons den num) =- showParen (p >= appPrec)- (showString "FixedPoint.cons " . shows den- . showString " " . shows num)---defltDenominator :: Integer-defltDenominator = 10^100--defltShow :: T -> String-defltShow (Cons den x) =- FP.showPositionalDec den x----instance Additive.C T where- zero = cons defltDenominator zero- (+) = lift2 FP.add- (-) = lift2 FP.sub- negate (Cons xd xn) = Cons xd (negate xn)---instance Ring.C T where- one = cons defltDenominator defltDenominator- fromInteger = fromInteger' defltDenominator . NP.fromInteger- (*) = lift2 FP.mul- -- the default instance of (^) cumulates rounding errors but is faster- -- x^n = lift1 (pow n) x---instance Field.C T where- (/) = lift2 FP.divide- recip = lift1 FP.recip- fromRational' = fromRational' defltDenominator . NP.fromRational'---instance Algebraic.C T where- sqrt = lift1 FP.sqrt- root n = lift1 (FP.root n)----- these function are only implemented for the convergence radius of their Taylor expansions-instance Trans.C T where- pi = lift0 defltDenominator FP.piConst- exp = lift1 FP.exp- log = lift1 FP.ln- {-- logBase- (**)- -}- sin = lift1 (FP.evalPowerSeries PSE.sin)- cos = lift1 (FP.evalPowerSeries PSE.cos)- -- tan = lift1 (FP.evalPowerSeries PSE.tan)- asin = lift1 (FP.evalPowerSeries PSE.asin)- atan = lift1 FP.arctan- {-- acos = lift1 (FP.evalPowerSeries PSE.acos)- sinh = lift1 (FP.evalPowerSeries PSE.sinh)- tanh = lift1 (FP.evalPowerSeries PSE.tanh)- cosh = lift1 (FP.evalPowerSeries PSE.cosh)- asinh = lift1 (FP.evalPowerSeries PSE.asinh)- atanh = lift1 (FP.evalPowerSeries PSE.atanh)- acosh = lift1 (FP.evalPowerSeries PSE.acosh)- -}---instance ZeroTestable.C T where- isZero (Cons _ xn) = isZero xn--instance Eq T where- (Cons xd xn) == (Cons yd yn) =- commonDenominator xd yd (xn==yn)--instance Ord T where- compare (Cons xd xn) (Cons yd yn) =- commonDenominator xd yd (compare xn yn)--instance Absolute.C T where- abs = lift1 (const abs)- signum = Absolute.signumOrd--instance RealRing.C T where- splitFraction (Cons xd xn) =- let (int, frac) = divMod xd xn- in (fromInteger int, Cons xd frac)------ legacy instances for work with GHCi-legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance P98.Num T where- fromInteger = fromInteger' defltDenominator- negate = negate --for unary minus- (+) = legacyInstance- (*) = legacyInstance- abs = legacyInstance- signum = legacyInstance--instance P98.Fractional T where- fromRational = fromRational' defltDenominator . fromRational- (/) = legacyInstance
− src-ghc-6.12/Number/GaloisField2p32m5.hs
@@ -1,92 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{- |-This number type is intended for tests of functions over fields,-where the field elements need constant space.-This way we can provide a Storable instance.-For 'Rational' this would not be possible.--However, be aware that sums of non-zero elements may yield zero.-Thus division is not always safe, where it is for rational numbers.--}-module Number.GaloisField2p32m5 where--import qualified Number.ResidueClass as RC-import qualified Algebra.Module as Module-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import Data.Int (Int64, )-import Data.Word (Word32, Word64, )--import qualified Foreign.Storable.Newtype as SN-import qualified Foreign.Storable as St--import Test.QuickCheck (Arbitrary(arbitrary), )--import NumericPrelude.Base-import NumericPrelude.Numeric---newtype T = Cons {decons :: Word32}- deriving Eq--{-# INLINE appPrec #-}-appPrec :: Int-appPrec = 10--instance Show T where- showsPrec p (Cons x) =- showsPrec p x-{-- showParen (p >= appPrec)- (showString "GF2p32m5.Cons " . shows x)--}--instance Arbitrary T where- arbitrary = fmap (Cons . fromInteger . flip mod base) arbitrary--instance St.Storable T where- sizeOf = SN.sizeOf decons- alignment = SN.alignment decons- peek = SN.peek Cons- poke = SN.poke decons---base :: Ring.C a => a-base = 2^32-5---{-# INLINE lift2 #-}-lift2 :: (Word64 -> Word64 -> Word64) -> (T -> T -> T)-lift2 f (Cons x) (Cons y) =- Cons (fromIntegral (mod (f (fromIntegral x) (fromIntegral y)) base))--{-# INLINE lift2Integer #-}-lift2Integer :: (Int64 -> Int64 -> Int64) -> (T -> T -> T)-lift2Integer f (Cons x) (Cons y) =- Cons (fromIntegral (mod (f (fromIntegral x) (fromIntegral y)) base))---instance Additive.C T where- zero = Cons zero- (+) = lift2 (+)--- (-) = lift2 (-)- x-y = x + negate y- negate n@(Cons x) =- if x==0- then n- else Cons (base-x)--instance Ring.C T where- one = Cons one- (*) = lift2 (*)- fromInteger =- Cons . fromInteger . flip mod base--instance Field.C T where- (/) = lift2Integer (RC.divide base)--instance Module.C T T where- (*>) = (*)
− src-ghc-6.12/Number/NonNegative.hs
@@ -1,214 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# OPTIONS_GHC -fno-warn-orphans #-}--{--Rationale for -fno-warn-orphans:- * The orphan instances can't be put into Numeric.NonNegative.Wrapper- since that's in another package.- * We had to spread the instance declarations- over the modules defining the typeclasses instantiated.- Do we want that?--}--{- |-Copyright : (c) Henning Thielemann 2007--Maintainer : haskell@henning-thielemann.de-Stability : stable-Portability : Haskell 98--A type for non-negative numbers.-It performs a run-time check at construction time (i.e. at run-time)-and is a member of the non-negative number type class-'Numeric.NonNegative.Class.C'.--}-module Number.NonNegative- (T, fromNumber, fromNumberMsg, fromNumberClip, fromNumberUnsafe, toNumber,- NonNegW.Int, NonNegW.Integer, NonNegW.Float, NonNegW.Double,- Ratio, Rational) where--import Numeric.NonNegative.Wrapper- (T, fromNumberUnsafe, toNumber, )-import qualified Numeric.NonNegative.Wrapper as NonNegW--import qualified Algebra.NonNegative as NonNeg-import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.RealRing as RealRing-import qualified Algebra.Field as Field-import qualified Algebra.RealIntegral as RealIntegral-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.Monoid as Monoid-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Algebra.ToInteger as ToInteger-import qualified Algebra.ToRational as ToRational--- import Test.QuickCheck (Arbitrary(arbitrary))--import qualified Number.Ratio as R--import NumericPrelude.Base-import Data.Tuple.HT (mapSnd, mapPair, )-import NumericPrelude.Numeric hiding (Int, Integer, Float, Double, Rational, )---{- |-Convert a number to a non-negative number.-If a negative number is given, an error is raised.--}-fromNumber :: (Ord a, Additive.C a) =>- a- -> T a-fromNumber = fromNumberMsg "fromNumber"--fromNumberMsg :: (Ord a, Additive.C a) =>- String {- ^ name of the calling function to be used in the error message -}- -> a- -> T a-fromNumberMsg funcName x =- if x>=zero- then fromNumberUnsafe x- else error (funcName++": negative number")--fromNumberWrap :: (Ord a, Additive.C a) =>- String- -> a- -> T a-fromNumberWrap funcName =- fromNumberMsg ("Number.NonNegative."++funcName)--{- |-Convert a number to a non-negative number.-A negative number will be replaced by zero.-Use this function with care since it may hide bugs.--}-fromNumberClip :: (Ord a, Additive.C a) =>- a- -> T a-fromNumberClip = fromNumberUnsafe . max zero----{- |-Results are not checked for positivity.--}-lift :: (a -> a) -> (T a -> T a)-lift f = fromNumberUnsafe . f . toNumber--liftWrap :: (Ord a, Additive.C a) => String -> (a -> a) -> (T a -> T a)-liftWrap msg f = fromNumberWrap msg . f . toNumber---{- |-Results are not checked for positivity.--}-lift2 :: (a -> a -> a) -> (T a -> T a -> T a)-lift2 f x y =- fromNumberUnsafe $ f (toNumber x) (toNumber y)----instance ZeroTestable.C a => ZeroTestable.C (T a) where- isZero = isZero . toNumber--instance (Additive.C a) => Monoid.C (T a) where- idt = fromNumberUnsafe Additive.zero- x <*> y = fromNumberUnsafe (toNumber x + toNumber y)--- mconcat = fromNumberUnsafe . sum . map toNumber--instance (Ord a, Additive.C a) => NonNeg.C (T a) where- split = NonNeg.splitDefault toNumber fromNumberUnsafe--instance (Ord a, Additive.C a) => Additive.C (T a) where- zero = fromNumberUnsafe zero- (+) = lift2 (+)- (-) = liftWrap "-" . (-) . toNumber- negate = liftWrap "negate" negate--instance (Ord a, Ring.C a) => Ring.C (T a) where- (*) = lift2 (*)- fromInteger = fromNumberWrap "fromInteger" . fromInteger--instance (Ord a, ToRational.C a) => ToRational.C (T a) where- toRational = ToRational.toRational . toNumber--instance ToInteger.C a => ToInteger.C (T a) where- toInteger = toInteger . toNumber--{- already defined in the imported module-instance (Ord a, Additive.C a, Enum a) => Enum (T a) where- toEnum = fromNumberWrap "toEnum" . toEnum- fromEnum = fromEnum . toNumber--instance (Ord a, Additive.C a, Bounded a) => Bounded (T a) where- minBound = fromNumberClip minBound- maxBound = fromNumberWrap "maxBound" maxBound--instance (Additive.C a, Arbitrary a) => Arbitrary (T a) where- arbitrary = liftM (fromNumberUnsafe . abs) arbitrary--}--instance RealIntegral.C a => RealIntegral.C (T a) where- quot = lift2 quot- rem = lift2 rem- quotRem x y =- mapPair- (fromNumberUnsafe, fromNumberUnsafe)- (quotRem (toNumber x) (toNumber y))--instance (Ord a, Integral.C a) => Integral.C (T a) where- div = lift2 div- mod = lift2 mod- divMod x y =- mapPair- (fromNumberUnsafe, fromNumberUnsafe)- (divMod (toNumber x) (toNumber y))--instance (Ord a, Field.C a) => Field.C (T a) where- fromRational' = fromNumberWrap "fromRational" . fromRational'- (/) = lift2 (/)---instance (ZeroTestable.C a, Ord a, Absolute.C a) => Absolute.C (T a) where- abs = lift abs- signum = lift signum--instance (RealRing.C a) => RealRing.C (T a) where- splitFraction = mapSnd fromNumberUnsafe . splitFraction . toNumber- truncate = truncate . toNumber- round = round . toNumber- ceiling = ceiling . toNumber- floor = floor . toNumber--instance (Ord a, Algebraic.C a) => Algebraic.C (T a) where- sqrt = lift sqrt- (^/) x r = lift (^/ r) x--instance (Ord a, Trans.C a) => Trans.C (T a) where- pi = fromNumber pi- exp = lift exp- log = liftWrap "log" log- (**) = lift2 (**)- logBase = liftWrap "logBase" . logBase . toNumber- sin = liftWrap "sin" sin- tan = liftWrap "tan" tan- cos = liftWrap "cos" cos- asin = liftWrap "asin" asin- atan = liftWrap "atan" atan- acos = liftWrap "acos" acos- sinh = liftWrap "sinh" sinh- tanh = liftWrap "tanh" tanh- cosh = liftWrap "cosh" cosh- asinh = liftWrap "asinh" asinh- atanh = liftWrap "atanh" atanh- acosh = liftWrap "acosh" acosh---type Ratio a = T (R.T a)-type Rational = T R.Rational---{- legacy instances already defined in non-negative package -}
− src-ghc-6.12/Number/NonNegativeChunky.hs
@@ -1,311 +0,0 @@-{- |-Copyright : (c) Henning Thielemann 2007-2010--Maintainer : haskell@henning-thielemann.de-Stability : stable-Portability : Haskell 98--A lazy number type, which is a generalization of lazy Peano numbers.-Comparisons can be made lazy and-thus computations are possible which are impossible with strict number types,-e.g. you can compute @let y = min (1+y) 2 in y@.-You can even work with infinite values.-However, depending on the granularity,-the memory consumption is higher than that for strict number types.-This number type is of interest for the merge operation of event lists,-which allows for co-recursive merges.--}-module Number.NonNegativeChunky- (T, fromChunks, toChunks, fromNumber, toNumber, fromChunky98, toChunky98,- minMaxDiff, normalize, isNull, isPositive,- divModLazy, divModStrict, ) where--import qualified Numeric.NonNegative.Chunky as Chunky98-import qualified Numeric.NonNegative.Class as NonNeg98--import qualified Algebra.NonNegative as NonNeg-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ToInteger as ToInteger-import qualified Algebra.ToRational as ToRational-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.RealIntegral as RealIntegral-import qualified Algebra.ZeroTestable as ZeroTestable-import Algebra.ZeroTestable (isZero, )--import qualified Algebra.Monoid as Monoid-import qualified Data.Monoid as Mn98--import Control.Monad (liftM, liftM2, )-import Data.Tuple.HT (mapFst, mapSnd, mapPair, )--import Test.QuickCheck (Arbitrary(arbitrary))--import NumericPrelude.Numeric-import NumericPrelude.Base-import qualified Prelude as P98 (Num(..), Fractional(..), )---{- |-A chunky non-negative number is a list of non-negative numbers.-It represents the sum of the list elements.-It is possible to represent a finite number with infinitely many chunks-by using an infinite number of zeros.--Note the following problems:--Addition is commutative only for finite representations.-E.g. @let y = min (1+y) 2 in y@ is defined,-@let y = min (y+1) 2 in y@ is not.--The type is equivalent to 'Numeric.NonNegative.Chunky'.--}-newtype T a = Cons {decons :: [a]}---fromChunks :: NonNeg.C a => [a] -> T a-fromChunks = Cons--toChunks :: NonNeg.C a => T a -> [a]-toChunks = decons--fromChunky98 :: (NonNeg.C a, NonNeg98.C a) => Chunky98.T a -> T a-fromChunky98 = fromChunks . Chunky98.toChunks--toChunky98 :: (NonNeg.C a, NonNeg98.C a) => T a -> Chunky98.T a-toChunky98 = Chunky98.fromChunks . toChunks--fromNumber :: NonNeg.C a => a -> T a-fromNumber = fromChunks . (:[])--toNumber :: NonNeg.C a => T a -> a-toNumber = Monoid.cumulate . toChunks----lift2 :: NonNeg.C a => ([a] -> [a] -> [a]) -> (T a -> T a -> T a)-lift2 f x y =- fromChunks $ f (toChunks x) (toChunks y)--{- |-Remove zero chunks.--}-normalize :: NonNeg.C a => T a -> T a-normalize = fromChunks . filter (> NonNeg.zero) . toChunks--isNullList :: NonNeg.C a => [a] -> Bool-isNullList = null . filter (> NonNeg.zero)--isNull :: NonNeg.C a => T a -> Bool-isNull = isNullList . toChunks- -- null . toChunks . normalize--isPositive :: NonNeg.C a => T a -> Bool-isPositive = not . isNull----{--normalizeZT :: ZeroTestable.C a => T a -> T a-normalizeZT = fromChunks . filter (not . isZero) . toChunks--}--isNullListZT :: ZeroTestable.C a => [a] -> Bool-isNullListZT = null . filter (not . isZero)--isNullZT :: ZeroTestable.C a => T a -> Bool-isNullZT = isNullListZT . decons- -- null . toChunks . normalize-{--isPositiveZT :: ZeroTestable.C a => T a -> Bool-isPositiveZT = not . isNull--}---check :: String -> Bool -> a -> a-check funcName b x =- if b- then x- else error ("Numeric.NonNegative.Chunky."++funcName++": negative number")---glue :: (NonNeg.C a) => [a] -> [a] -> ([a], (Bool, [a]))-glue [] ys = ([], (True, ys))-glue xs [] = ([], (False, xs))-glue (x:xs) (y:ys) =- let (z,~(zs,brs)) =- flip mapSnd (NonNeg.split x y) $- \(b,d) ->- if b- then glue xs $- if NonNeg.zero == d- then ys else d:ys- else glue (d:xs) ys- in (z:zs,brs)--minMaxDiff :: (NonNeg.C a) => T a -> T a -> (T a, (Bool, T a))-minMaxDiff (Cons xs) (Cons ys) =- let (zs, (b, rs)) = glue xs ys- in (Cons zs, (b, Cons rs))--equalList :: (NonNeg.C a) => [a] -> [a] -> Bool-equalList x y =- isNullList $ snd $ snd $ glue x y--compareList :: (NonNeg.C a) => [a] -> [a] -> Ordering-compareList x y =- let (b,r) = snd $ glue x y- in if isNullList r- then EQ- else if b then LT else GT--minList :: (NonNeg.C a) => [a] -> [a] -> [a]-minList x y =- fst $ glue x y--maxList :: (NonNeg.C a) => [a] -> [a] -> [a]-maxList x y =- -- matching the inner pair lazily is important- let (z,~(_,r)) = glue x y in z++r---instance (NonNeg.C a) => Eq (T a) where- (Cons x) == (Cons y) = equalList x y--instance (NonNeg.C a) => Ord (T a) where- compare (Cons x) (Cons y) = compareList x y- min = lift2 minList- max = lift2 maxList---instance (NonNeg.C a) => NonNeg.C (T a) where- split (Cons xs) (Cons ys) =- let (zs, ~(b, rs)) = glue xs ys- in (Cons zs, (b, Cons rs))--instance (ZeroTestable.C a) => ZeroTestable.C (T a) where- isZero = isNullZT--instance (NonNeg.C a) => Additive.C (T a) where- zero = Monoid.idt- (+) = (Monoid.<*>)- (Cons x) - (Cons y) =- let (b,d) = snd $ glue x y- d' = Cons d- in check "-" (not b || isNull d') d'- negate x = check "negate" (isNull x) x-{-- x0 - y0 =- let d' = lift2 (\x y -> let (_,d,b) = glue x y in d) x0 y0- in check "-" (not b || isNull d') d'--}--instance (Ring.C a, NonNeg.C a) => Ring.C (T a) where- one = fromNumber one- (*) = lift2 (liftM2 (*))- fromInteger = fromNumber . fromInteger--instance (Ring.C a, ZeroTestable.C a, NonNeg.C a) => Absolute.C (T a) where- abs = id- signum = fromNumber . (\b -> if b then one else zero) . isPositive--instance (ToInteger.C a, NonNeg.C a) => ToInteger.C (T a) where- toInteger = sum . map toInteger . toChunks--instance (ToRational.C a, NonNeg.C a) => ToRational.C (T a) where- toRational = sum . map toRational . toChunks---instance (RealIntegral.C a, NonNeg.C a) => RealIntegral.C (T a) where- quot = div- rem = mod- quotRem = divMod--{- |-'divMod' is implemented in terms of 'divModStrict'.-If it is needed we could also provide a function-that accesses the divisor first in a lazy way-and then uses a strict divisor for subsequent rounds of the subtraction loop.-This way we can handle the cases \"dividend smaller than divisor\"-and \"dividend greater than divisor\" in a lazy and efficient way.-However changing the way of operation within one number is also not nice.--}-instance (Ord a, Integral.C a, NonNeg.C a) => Integral.C (T a) where- divMod x y =- mapSnd fromNumber $- divModStrict x (toNumber y)--{- |-divModLazy accesses the divisor in a lazy way.-However this is only relevant if the dividend is smaller than the divisor.-For large dividends the divisor will be accessed multiple times-but since it is already fully evaluated it could also be strict.--}-divModLazy ::- (Ring.C a, NonNeg.C a) =>- T a -> T a -> (T a, T a)-divModLazy x0 y0 =- let y = toChunks y0- recourse x =- let (r,~(b,d)) = glue y x- in if not b- then ([], r)- else mapFst (one:) (recourse d)- in mapPair- (fromChunks, fromChunks)- (recourse (toChunks x0))--{- |-This function has a strict divisor-and maintains the chunk structure of the dividend at a smaller scale.--}-divModStrict ::- (Integral.C a, NonNeg.C a) =>- T a -> a -> (T a, a)-divModStrict x0 y =- let recourse [] r = ([], r)- recourse (x:xs) r0 =- case divMod (x+r0) y of- (q,r1) -> mapFst (q:) $ recourse xs r1- in mapFst fromChunks $ recourse (toChunks x0) zero----instance (Show a) => Show (T a) where- showsPrec p x =- showParen (p>10)- (showString "Chunky.fromChunks " . showsPrec 10 (decons x))---instance (NonNeg.C a, Arbitrary a) => Arbitrary (T a) where- arbitrary = liftM Cons arbitrary----{- * legacy instances -}--legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance (Ring.C a, Eq a, Show a, NonNeg.C a) => P98.Num (T a) where- fromInteger = fromNumber . fromInteger- negate = Additive.negate -- for unary minus- (+) = legacyInstance- (*) = legacyInstance- abs = legacyInstance- signum = legacyInstance--instance (Field.C a, Eq a, Show a, NonNeg.C a) => P98.Fractional (T a) where- fromRational = fromNumber . fromRational- (/) = legacyInstance--instance (NonNeg.C a) => Mn98.Monoid (T a) where- mempty = Monoid.idt- mappend = (Monoid.<*>)--instance (NonNeg.C a) => Monoid.C (T a) where- idt = Cons []- (<*>) = lift2 (++)
− src-ghc-6.12/Number/OccasionallyScalarExpression.hs
@@ -1,196 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Henning Thielemann 2004-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : multi-type parameter classes (vector space)--Physical expressions track the operations made on physical values-so we are able to give detailed information on how to resolve-unit violations.--}--module Number.OccasionallyScalarExpression where--import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Algebraic (sqrt, (^/))-import qualified Algebra.OccasionallyScalar as OccScalar--import Data.Maybe(fromMaybe)-import Data.Array(listArray,(!))--import NumericPrelude.Base-import NumericPrelude.Numeric---{- | A value of type 'T' stores information on how to resolve unit violations.- The main application of the module are certainly- Number.Physical type instances- but in principle it can also be applied to other occasionally scalar types. -}-data T a v = Cons (Term a v) v--data Term a v =- Const- | Add (T a v) (T a v)- | Mul (T a v) (T a v)- | Div (T a v) (T a v)--fromValue :: v -> T a v-fromValue = Cons Const---makeLine :: Int -> String -> String-makeLine indent str = replicate indent ' ' ++ str ++ "\n"--showUnitError :: (Show v) => Bool -> Int -> v -> T a v -> String-showUnitError divide indent x (Cons expr y) =- let indent' = indent+2- showSub d = showUnitError d (indent'+2) x- mulDivArr = listArray (False, True) ["multiply", "divide"]- in makeLine indent- (mulDivArr ! divide ++- " " ++ show y ++ " by " ++ show x) ++- case expr of- (Const) -> ""- (Add y0 y1) ->- makeLine indent' "e.g." ++- showSub divide y0 ++- makeLine indent' "and " ++- showSub divide y1- (Mul y0 y1) ->- makeLine indent' "e.g." ++- showSub divide y0 ++- makeLine indent' "or " ++- showSub divide y1- (Div y0 y1) ->- makeLine indent' "e.g." ++- showSub divide y0 ++- makeLine indent' "or " ++- showSub (not divide) y1---lift :: (v -> v) -> (T a v -> T a v)-lift f (Cons xe x) = Cons xe (f x)--fromScalar :: (Show v, OccScalar.C a v) =>- a -> T a v-fromScalar = OccScalar.fromScalar--scalarMap :: (Show v, OccScalar.C a v) =>- (a -> a) -> (T a v -> T a v)-scalarMap f x = OccScalar.fromScalar (f (OccScalar.toScalar x))--scalarMap2 :: (Show v, OccScalar.C a v) =>- (a -> a -> a) -> (T a v -> T a v -> T a v)-scalarMap2 f x y = OccScalar.fromScalar (f (OccScalar.toScalar x) (OccScalar.toScalar y))---instance (Show v) => Show (T a v) where- show (Cons _ x) = show x--instance (Eq v) => Eq (T a v) where- (Cons _ x) == (Cons _ y) = x==y--instance (Ord v) => Ord (T a v) where- compare (Cons _ x) (Cons _ y) = compare x y--instance (Additive.C v) => Additive.C (T a v) where- zero = Cons Const zero- xe@(Cons _ x) + ye@(Cons _ y) = Cons (Add xe ye) (x+y)- xe@(Cons _ x) - ye@(Cons _ y) = Cons (Add xe ye) (x-y)- negate = lift negate--instance (Ring.C v) => Ring.C (T a v) where- xe@(Cons _ x) * ye@(Cons _ y) = Cons (Mul xe ye) (x*y)-- fromInteger = fromValue . fromInteger--instance (Field.C v) => Field.C (T a v) where- xe@(Cons _ x) / ye@(Cons _ y) = Cons (Div xe ye) (x/y)- fromRational' = fromValue . fromRational'--instance (ZeroTestable.C v) => ZeroTestable.C (T a v) where- isZero (Cons _ x) = isZero x--instance (Absolute.C v) => Absolute.C (T a v) where- {- are these definitions sensible? -}- abs = lift abs- signum = lift signum---{- This instance is not quite satisfying.- The expression data structure should also keep track of powers- in order to report according errors. -}-instance (Algebraic.C a, Field.C v, Show v, OccScalar.C a v) =>- Algebraic.C (T a v) where- sqrt = scalarMap sqrt- x ^/ y = scalarMap (^/ y) x--instance (Trans.C a, Field.C v, Show v, OccScalar.C a v) =>- Trans.C (T a v) where- pi = fromScalar pi- log = scalarMap log- exp = scalarMap exp- logBase = scalarMap2 logBase- (**) = scalarMap2 (**)- cos = scalarMap cos- tan = scalarMap tan- sin = scalarMap sin- acos = scalarMap acos- atan = scalarMap atan- asin = scalarMap asin- cosh = scalarMap cosh- tanh = scalarMap tanh- sinh = scalarMap sinh- acosh = scalarMap acosh- atanh = scalarMap atanh- asinh = scalarMap asinh---instance (OccScalar.C a v, Show v)- => OccScalar.C a (T a v) where- toScalar xe@(Cons _ x) =- fromMaybe- (error (show xe ++ " is not a scalar value.\n" ++- showUnitError True 0 x xe))- (OccScalar.toMaybeScalar x)- toMaybeScalar (Cons _ x) = OccScalar.toMaybeScalar x- fromScalar = fromValue . OccScalar.fromScalar---{-- I would like to use OccasionallyScalar.toScalar- in fmap and (>>=) to allow more sophisticated error messages- for types that support more descriptive error messages.- But this requires constraints to the type arguments of- Functor and Monad.--}---{- Operators for lifting scalar operations to- operations on physical values -}-{--instance Functor (T i) where- fmap f (Cons xu x) =- if Unit.isScalar xu- then OccScalar.fromScalar (f x)- else error "Physics.Quantity.Value.fmap: function for scalars, only"--instance Monad (T i) where- (>>=) (Cons xu x) f =- if Unit.isScalar xu- then f x- else error "Physics.Quantity.Value.(>>=): function for scalars, only"- return = OccScalar.fromScalar--}
− src-ghc-6.12/Number/PartiallyTranscendental.hs
@@ -1,91 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Define Transcendental functions on arbitrary fields.-These functions are defined for only a few (in most cases only one) arguments,-that's why discourage making these types instances of 'Algebra.Transcendental.C'.-But instances of 'Algebra.Transcendental.C' can be useful when working with power series.-If you intent to work with power series with 'Rational' coefficients,-you might consider using @MathObj.PowerSeries.T (Number.PartiallyTranscendental.T Rational)@-instead of @MathObj.PowerSeries.T Rational@.--}-module Number.PartiallyTranscendental (T, fromValue, toValue) where--import qualified Algebra.Transcendental as Transcendental-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--- import qualified Algebra.ZeroTestable as ZeroTestable--import NumericPrelude.Numeric-import NumericPrelude.Base--import qualified Prelude as P---newtype T a = Cons {toValue :: a}- deriving (Eq, Ord, Show)--fromValue :: a -> T a-fromValue = lift0--lift0 :: a -> T a-lift0 = Cons--lift1 :: (a -> a) -> (T a -> T a)-lift1 f (Cons x0) = Cons (f x0)--lift2 :: (a -> a -> a) -> (T a -> T a -> T a)-lift2 f (Cons x0) (Cons x1) = Cons (f x0 x1)---instance (Additive.C a) => Additive.C (T a) where- negate = lift1 negate- (+) = lift2 (+)- (-) = lift2 (-)- zero = lift0 zero--instance (Ring.C a) => Ring.C (T a) where- one = lift0 one- fromInteger n = lift0 (fromInteger n)- (*) = lift2 (*)--instance (Field.C a) => Field.C (T a) where- (/) = lift2 (/)--instance (Algebraic.C a) => Algebraic.C (T a) where- sqrt x = lift1 sqrt x- root n = lift1 (Algebraic.root n)- (^/) x y = lift1 (^/y) x--instance (Algebraic.C a, Eq a) => Transcendental.C (T a) where- pi = undefined- exp = \0 -> 1- sin = \0 -> 0- cos = \0 -> 1- tan = \0 -> 0- x ** y = if x==1 || y==0- then 1- else error "partially transcendental power undefined"- log = \1 -> 0- asin = \0 -> 0- acos = \1 -> 0- atan = \0 -> 0----legacyInstance :: a-legacyInstance = error "legacy Ring instance for simple input of numeric literals"---instance (P.Num a) => P.Num (T a) where- fromInteger n = lift0 $ P.fromInteger n- negate = P.negate -- for unary minus- (+) = legacyInstance- (*) = legacyInstance- abs = legacyInstance- signum = legacyInstance--instance (P.Num a) => P.Fractional (T a) where- fromRational = P.fromRational- (/) = legacyInstance
− src-ghc-6.12/Number/Peano.hs
@@ -1,432 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2007-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Lazy Peano numbers represent natural numbers inclusive infinity.-Since they are lazily evaluated,-they are optimally for use as number type of 'Data.List.genericLength' et.al.--}-module Number.Peano where--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Units as Units-import qualified Algebra.RealIntegral as RealIntegral-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Indexable as Indexable-import qualified Algebra.Monoid as Monoid--import qualified Algebra.ToInteger as ToInteger-import qualified Algebra.ToRational as ToRational-import qualified Algebra.NonNegative as NonNeg--import qualified Algebra.EqualityDecision as EqDec-import qualified Algebra.OrderDecision as OrdDec--import Data.Maybe (catMaybes, )-import Data.Array(Ix(..))--import qualified Prelude as P98-import qualified NumericPrelude.Base as P-import qualified NumericPrelude.Numeric as NP-import Data.List.HT (mapAdjacent, shearTranspose, )-import Data.Tuple.HT (mapFst, )--import NumericPrelude.Base-import NumericPrelude.Numeric---data T = Zero- | Succ T- deriving (Show, Read, Eq)--infinity :: T-infinity = Succ infinity--err :: String -> String -> a-err func msg = error ("Number.Peano."++func++": "++msg)---instance ZeroTestable.C T where- isZero Zero = True- isZero (Succ _) = False--add :: T -> T -> T-add Zero y = y-add (Succ x) y = Succ (add x y)--sub :: T -> T -> T-sub x y =- let (sign,z) = subNeg y x- in if sign- then err "sub" "negative difference"- else z--subNeg :: T -> T -> (Bool, T)-subNeg Zero y = (False, y)-subNeg x Zero = (True, x)-subNeg (Succ x) (Succ y) = subNeg x y---mul :: T -> T -> T-mul Zero _ = Zero-mul _ Zero = Zero-mul (Succ x) y = add y (mul x y)--fromPosEnum :: (ZeroTestable.C a, Enum a) => a -> T-fromPosEnum n =- if isZero n- then Zero- else Succ (fromPosEnum (pred n))--toPosEnum :: (Additive.C a, Enum a) => T -> a-toPosEnum Zero = zero-toPosEnum (Succ x) = succ (toPosEnum x)--instance Additive.C T where- zero = Zero- (+) = add- (-) = sub- negate Zero = Zero- negate (Succ _) = err "negate" "cannot negate positive number"--instance Ring.C T where- one = Succ Zero- (*) = mul- fromInteger n =- if n<0- then err "fromInteger" "Peano numbers are always non-negative"- else fromPosEnum n--instance Enum T where- pred Zero = err "pred" "Zero has no predecessor"- pred (Succ x) = x- succ = Succ- toEnum n =- if n<0- then err "toEnum" "Peano numbers are always non-negative"- else fromPosEnum n- fromEnum = toPosEnum- enumFrom x = iterate Succ x- enumFromThen x y =- let (sign,d) = subNeg x y- in if sign- then iterate (sub d) x- else iterate (add d) x- {-- enumFromTo =- enumFromThenTo =- -}---{- |-If all values are completely defined,-then it holds--> if b then x else y == ifLazy b x y--However if @b@ is undefined,-then it is at least known that the result is larger than @min x y@.--}-ifLazy :: Bool -> T -> T -> T-ifLazy b (Succ x) (Succ y) = Succ (ifLazy b x y)-ifLazy b x y = if b then x else y--instance EqDec.C T where- (==?) x y = ifLazy (x==y)--instance OrdDec.C T where- (<=?) x y le gt = ifLazy (x<=y) le gt--{--The default instance is good for compare,-but fails for min and max.--}-instance Ord T where- compare (Succ x) (Succ y) = compare x y- compare Zero (Succ _) = LT- compare (Succ _) Zero = GT- compare Zero Zero = EQ-- min (Succ x) (Succ y) = Succ (min x y)- min _ _ = Zero-- max (Succ x) (Succ y) = Succ (max x y)- max Zero y = y- max x Zero = x-- {-- This special implementation works also for undefined < Zero.- Thanks to Peter Divianszky for the hint.- -}- _ < Zero = False- Zero < _ = True- Succ n < Succ m = n < m-- x > y = y < x-- x <= y = not (y < x)-- x >= y = not (x < y)---{- | cf.-To how to find the shortest list in a list of lists efficiently,-this means, also in the presence of infinite lists.-<http://www.haskell.org/pipermail/haskell-cafe/2006-October/018753.html>--}-argMinFull :: (T,a) -> (T,a) -> (T,a)-argMinFull (x0,xv) (y0,yv) =- let recourse (Succ x) (Succ y) =- let (z,zv) = recourse x y- in (Succ z, zv)- recourse Zero _ = (Zero,xv)- recourse _ _ = (Zero,yv)- in recourse x0 y0--{- |-On equality the first operand is returned.--}-argMin :: (T,a) -> (T,a) -> a-argMin x y = snd $ argMinFull x y--argMinimum :: [(T,a)] -> a-argMinimum = snd . foldl1 argMinFull---argMaxFull :: (T,a) -> (T,a) -> (T,a)-argMaxFull (x0,xv) (y0,yv) =- let recourse (Succ x) (Succ y) =- let (z,zv) = recourse x y- in (Succ z, zv)- recourse x Zero = (x,xv)- recourse _ y = (y,yv)- in recourse x0 y0--{- |-On equality the first operand is returned.--}-argMax :: (T,a) -> (T,a) -> a-argMax x y = snd $ argMaxFull x y--argMaximum :: [(T,a)] -> a-argMaximum = snd . foldl1 argMaxFull------ isAscending - naive implementations--{- |-@x0 <= x1 && x1 <= x2 ... @-for possibly infinite numbers in finite lists.--}-isAscendingFiniteList :: [T] -> Bool-isAscendingFiniteList [] = True-isAscendingFiniteList (x:xs) =- let decrement (Succ y) = Just y- decrement _ = Nothing- in case x of- Zero -> isAscendingFiniteList xs- Succ xd ->- case mapM decrement xs of- Nothing -> False- Just xsd -> isAscendingFiniteList (xd : xsd)--isAscendingFiniteNumbers :: [T] -> Bool-isAscendingFiniteNumbers = and . mapAdjacent (<=)----- isAscending - sophisticated implementations - explicit--toListMaybe :: a -> T -> [Maybe a]-toListMaybe a =- let recourse Zero = [Just a]- recourse (Succ x) = Nothing : recourse x- in recourse--{- |-In @glue x y == (z,(b,r))@-@z@ represents @min x y@,-@r@ represents @max x y - min x y@,-and @x<=y == b@.--Cf. Numeric.NonNegative.Chunky--}-glue :: T -> T -> (T, (Bool, T))-glue Zero ys = (Zero, (True, ys))-glue xs Zero = (Zero, (False, xs))-glue (Succ xs) (Succ ys) =- mapFst Succ $ glue xs ys--{--Implementation notes:-We check all pairs of adjacent numbers for correct order.-We obtain a set of booleans, which must all be True.-The order of checking these booleans is crucial.-Pairs of numbers that are infinitely big or infinitely far in the list-must be checked \"last\".-Thus we order the booleans according to their computation costs-(list position + magnitude of number)-using 'shearTranspose'.--}-isAscending :: [T] -> Bool-isAscending =- and . catMaybes . concat .- shearTranspose .- mapAdjacent (\x y ->- let (costs0,(le,_)) = glue x y- in toListMaybe le costs0)----- isAscending - use a cost measuring data type (could generalized to a monad, when considered as Writer monad, see htam and unique-logic packages---- following an idea of vixy http://moonpatio.com:8080/fastcgi/hpaste.fcgi/view?id=562--data Valuable a = Valuable {costs :: T, value :: a}- deriving (Show, Eq, Ord)---increaseCosts :: T -> Valuable a -> Valuable a-increaseCosts inc ~(Valuable c x) = Valuable (inc+c) x--{- |-Compute '(&&)' with minimal costs.--}-infixr 3 &&~-(&&~) :: Valuable Bool -> Valuable Bool -> Valuable Bool-(&&~) (Valuable xc xb) (Valuable yc yb) =- let (minc,~(le,difc)) = glue xc yc- (bCheap,bExpensive) =- if le- then (xb,yb)- else (yb,xb)- in increaseCosts minc $- uncurry Valuable $- if bCheap- then (difc, bExpensive)- else (Zero, False)--andW :: [Valuable Bool] -> Valuable Bool-andW =- foldr- (\b acc -> b &&~ increaseCosts one acc)- (Valuable Zero True)--leW :: T -> T -> Valuable Bool-leW x y =- let (minc,~(le,_difc)) = glue x y- in Valuable minc le--isAscendingW :: [T] -> Valuable Bool-isAscendingW =- andW . mapAdjacent leW--{--test with--*Number.Peano> isAscendingW [0,infinity,infinity,5]-False--}----- instances--instance Absolute.C T where- signum Zero = zero- signum (Succ _) = one- abs = id--instance ToInteger.C T where- toInteger = toPosEnum--instance ToRational.C T where- toRational = toRational . toInteger--instance RealIntegral.C T where- quot = div- rem = mod- quotRem = divMod--instance Integral.C T where- div x y = fst (divMod x y)- mod x y = snd (divMod x y)- divMod x y =- let (isNeg,d) = subNeg y x- in if isNeg- then (zero,x)- else let (q,r) = divMod d y in (succ q,r)--instance Monoid.C T where- idt = zero- (<*>) = add- cumulate = foldr add Zero--instance NonNeg.C T where- split = glue--instance Ix T where- range = uncurry enumFromTo- index (lower,_) i =- let (sign,offset) = subNeg lower i- in if sign- then err "index" "index out of range"- else toPosEnum offset- inRange (lower,upper) i =- isAscending [lower, i, upper]- rangeSize (lower,upper) =- toPosEnum (sub lower (succ upper))--instance Indexable.C T where- compare = Indexable.ordCompare--instance Units.C T where- isUnit x = x == one- stdAssociate = id- stdUnit _ = one- stdUnitInv _ = one--instance PID.C T where- gcd = PID.euclid mod- extendedGCD = PID.extendedEuclid divMod--instance Bounded T where- minBound = Zero- maxBound = infinity----legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance P98.Num T where- fromInteger = Ring.fromInteger- negate = Additive.negate -- for unary minus- (+) = add- (-) = sub- (*) = mul- signum = legacyInstance- abs = legacyInstance---- for use with genericLength et.al.-instance P98.Real T where- toRational = P98.toRational . toInteger--instance P98.Integral T where- rem = div- quot = mod- quotRem = divMod- div x y = fst (divMod x y)- mod x y = snd (divMod x y)- divMod x y =- let (sign,d) = subNeg y x- in if sign- then (0,x)- else let (q,r) = divMod d y in (succ q,r)- toInteger = toPosEnum
− src-ghc-6.12/Number/Physical.hs
@@ -1,236 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Henning Thielemann 2003-2006-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : generic instances--Numeric values combined with abstract Physical Units--}--module Number.Physical where--import qualified Number.Physical.Unit as Unit--import Algebra.OccasionallyScalar as OccScalar-import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Algebra.ToInteger as ToInteger--import Algebra.Algebraic (sqrt, (^/))--import qualified Number.Ratio as Ratio--import Control.Monad(guard,liftM,liftM2)--import Data.Maybe.HT(toMaybe)-import Data.Maybe(fromMaybe)--import NumericPrelude.Numeric-import NumericPrelude.Base----- | A Physics.Quantity.Value.T combines a numeric value with a physical unit.-data T i a = Cons (Unit.T i) a---- | Construct a physical value from a numeric value and--- the full vector representation of a unit.-quantity :: (Ord i, Enum i, Ring.C a) => [Int] -> a -> T i a-quantity v = Cons (Unit.fromVector v)--fromScalarSingle :: a -> T i a-fromScalarSingle = Cons Unit.scalar---- | Test for the neutral Unit.T. Also a zero has a unit!-isScalar :: T i a -> Bool-isScalar (Cons u _) = Unit.isScalar u---{- Using (((join.).).liftM2) you can turn madd and msub- into operations that map Maybes to Maybes -}---- | apply a function to the numeric value while preserving the unit-lift :: (a -> b) -> T i a -> T i b-lift f (Cons xu x) = Cons xu (f x)--lift2 :: (Eq i) => String -> (a -> b -> c) -> T i a -> T i b -> T i c-lift2 opName op x y =- fromMaybe (errorUnitMismatch opName) (lift2Maybe op x y)--lift2Maybe :: (Eq i) => (a -> b -> c) -> T i a -> T i b -> Maybe (T i c)-lift2Maybe op (Cons xu x) (Cons yu y) =- toMaybe (xu==yu) (Cons xu (op x y))--lift2Gen :: (Eq i) => String -> (a -> b -> c) -> T i a -> T i b -> c-lift2Gen opName op (Cons xu x) (Cons yu y) =- if (xu==yu)- then op x y- else errorUnitMismatch opName--errorUnitMismatch :: String -> a-errorUnitMismatch opName =- error ("Physics.Quantity.Value."++opName++": units mismatch")------ | Add two values if the units match, otherwise return Nothing-addMaybe :: (Eq i, Additive.C a) =>- T i a -> T i a -> Maybe (T i a)-addMaybe = lift2Maybe (+)---- | Subtract two values if the units match, otherwise return Nothing-subMaybe :: (Eq i, Additive.C a) =>- T i a -> T i a -> Maybe (T i a)-subMaybe = lift2Maybe (-)---scale :: (Ord i, Ring.C a) => a -> T i a -> T i a-scale x = lift (x*)--ratPow :: Trans.C a => Ratio.T Int -> T i a -> T i a-ratPow expo (Cons xu x) =- Cons (Unit.ratScale expo xu) (x ** fromRatio expo)--ratPowMaybe :: (Trans.C a) =>- Ratio.T Int -> T i a -> Maybe (T i a)-ratPowMaybe expo (Cons xu x) =- fmap (flip Cons (x ** fromRatio expo)) (Unit.ratScaleMaybe expo xu)--fromRatio :: (Field.C b, ToInteger.C a) => Ratio.T a -> b-fromRatio expo = fromIntegral (numerator expo) /- fromIntegral (denominator expo)----instance (ZeroTestable.C v) => ZeroTestable.C (T a v) where- isZero (Cons _ x) = isZero x--instance (Eq i, Eq a) => Eq (T i a) where- (==) = lift2Gen "(==)" (==)--instance (Ord i, Enum i, Show a) => Show (T i a) where- --show (Cons xu x) = show x ++ " !* " ++ show (Unit.toVector xu)- show (Cons xu x) = "quantity " ++ show (Unit.toVector xu) ++ " " ++ show x--instance (Ord i, Additive.C a) => Additive.C (T i a) where- zero = fromScalarSingle zero- -- Add two values if the units match, otherwise raise an error- (+) = lift2 "(+)" (+)- -- Subtract two values if the units match, otherwise raise an error- (-) = lift2 "(-)" (-)- negate = lift negate--instance (Ord i, Ring.C a) => Ring.C (T i a) where- (Cons xu x) * (Cons yu y) = Cons (xu+yu) (x*y)- fromInteger = fromScalarSingle . fromInteger--instance (Ord i, Ord a) => Ord (T i a) where- max = lift2 "max" max- min = lift2 "min" min- compare = lift2Gen "compare" compare- (<) = lift2Gen "(<)" (<)- (>) = lift2Gen "(>)" (>)- (<=) = lift2Gen "(<=)" (<=)- (>=) = lift2Gen "(>=)" (>=)--{-- Are absolute value and signum sensible for unit values?- What is the sign, what is the absolute value?- We could see it this way:- The absolute value has no unit and- the signum contains the unit and the scalar's sign.- However the units contain also information of magnitude.- E.g. if the base unit would be gramm instead kilogramm- then the scalars would grow to a factor thousand.-- So is it better to give- the absolute value unit and the absolute value of the scalar and- the signum has no unit and the signum of the scalar?- But the unit may also carry a kind of 'negativity' inside,- e.g. the electric charge.-- It seems that there is no clear answer.- However in my synthesizer application- I need absolute values for sample rates and amplitudes.- There the second interpretation is needed.--}-instance (Ord i, Absolute.C a) => Absolute.C (T i a) where- abs = lift abs- signum (Cons _ x) = fromScalarSingle (signum x)---instance (Ord i, Field.C a) => Field.C (T i a) where- (Cons xu x) / (Cons yu y) = Cons (xu-yu) (x/y)- fromRational' = fromScalarSingle . fromRational'--instance (Ord i, Algebraic.C a) => Algebraic.C (T i a) where- sqrt (Cons xu x) = Cons (Unit.ratScale 0.5 xu) (sqrt x)- Cons xu x ^/ y =- Cons (Unit.ratScale (fromRational' y) xu) (x ^/ y)--instance (Ord i, Trans.C a) => Trans.C (T i a) where- pi = fromScalarSingle pi- log = liftM log- exp = liftM exp- logBase = liftM2 logBase- (**) = liftM2 (**)- cos = liftM cos- tan = liftM tan- sin = liftM sin- acos = liftM acos- atan = liftM atan- asin = liftM asin- cosh = liftM cosh- tanh = liftM tanh- sinh = liftM sinh- acosh = liftM acosh- atanh = liftM atanh- asinh = liftM asinh--instance Ord i => Vector.C (T i) where- zero = zero- (<+>) = (+)- (*>) = scale--instance (Ord i, Module.C a v) => Module.C a (T i v) where- x *> (Cons yu y) = Cons yu (x Module.*> y)--instance (Ord i, VectorSpace.C a v) => VectorSpace.C a (T i v)---instance (OccScalar.C a v)- => OccScalar.C a (T i v) where- toScalar = toScalarDefault- toMaybeScalar (Cons xu x)- = guard (Unit.isScalar xu) >> toMaybeScalar x- fromScalar = fromScalarSingle . fromScalar----{- Operators for lifting scalar operations to- operations on physical values -}-instance Functor (T i) where- fmap f (Cons xu x) =- if Unit.isScalar xu- then fromScalarSingle (f x)- else error "Physics.Quantity.Value.fmap: function for scalars, only"--instance Monad (T i) where- (>>=) (Cons xu x) f =- if Unit.isScalar xu- then f x- else error "Physics.Quantity.Value.(>>=): function for scalars, only"- return = fromScalarSingle
− src-ghc-6.12/Number/Physical/Read.hs
@@ -1,99 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2004-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : multi-parameter type classes (VectorSpace.hs)--Convert a human readable string to a physical value.--}--module Number.Physical.Read where--import qualified Number.Physical as Value-import qualified Number.Physical.UnitDatabase as Db-import qualified Algebra.VectorSpace as VectorSpace--- import Algebra.Module((*>))-import qualified Algebra.Field as Field-import qualified Data.Map as Map-import Data.Map (Map)-import Text.ParserCombinators.Parsec-import Control.Monad(liftM)--import NumericPrelude.Base-import NumericPrelude.Numeric--mulPrec :: Int-mulPrec = 7---- How to handle the 'prec' argument?-readsNat :: (Enum i, Ord i, Read v, VectorSpace.C a v) =>- Db.T i a -> Int -> ReadS (Value.T i v)-readsNat db prec =- readParen (prec>=mulPrec)- (map (\(x, rest) ->- let (Value.Cons cu c, rest') = readUnitPart (createDict db) rest- in (Value.Cons cu (c *> x), rest'))- .- readsPrec mulPrec)--readUnitPart :: (Ord i, Field.C a) =>- Map String (Value.T i a)- -> String -> (Value.T i a, String)-readUnitPart dict str =- let parseUnit =- do p <- parseProduct- rest <- many anyChar- return (product (map (\(unit,n) ->- Map.findWithDefault- (error ("unknown unit '" ++ unit ++ "'")) unit dict- ^ n) p),- rest)- in case parse parseUnit "unit" str of- Left msg -> error (show msg)- Right val -> val---{-| This function could also return the value,- but a list of pairs (String, Integer) is easier for testing. -}-parseProduct :: Parser [(String, Integer)]-parseProduct =- skipMany space >>- ((do p <- ignoreSpace parsePower- t <- parseProductTail- return (p : t)) <|>- parseProductTail)--parseProductTail :: Parser [(String, Integer)]-parseProductTail =- let parseTail c f = - do _ <- ignoreSpace (char c)- p <- ignoreSpace parsePower- t <- parseProductTail- return (f p : t)- in parseTail '*' id <|>- parseTail '/' (\(x,n) -> (x,-n)) <|>- return []--parsePower :: Parser (String, Integer)-parsePower =- do w <- ignoreSpace (many1 (letter <|> char '\181'))- e <- liftM read (ignoreSpace (char '^') >> many1 digit) <|> return 1- return (w,e)--{- Turns a parser into one that ignores subsequent whitespaces. -}-ignoreSpace :: Parser a -> Parser a-ignoreSpace p =- do x <- p- skipMany space- return x---createDict :: Db.T i a -> Map String (Value.T i a)-createDict db =- Map.fromList (concatMap- (\Db.UnitSet {Db.unit = xu, Db.scales = s}- -> map (\Db.Scale {Db.symbol = sym, Db.magnitude = x}- -> (sym, Value.Cons xu x)) s) db)
− src-ghc-6.12/Number/Physical/Show.hs
@@ -1,105 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2004-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : multi-parameter type classes (VectorSpace.hs, Normalization.hs)--Convert a physical value to a human readable string.--}--module Number.Physical.Show where--import qualified Number.Physical as Value-import qualified Number.Physical.UnitDatabase as Db-import Number.Physical.UnitDatabase- (UnitSet, Scale, reciprocal, magnitude, symbol, scales)--import qualified Algebra.NormedSpace.Maximum as NormedMax-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring--import Data.List(find)-import Data.Maybe(mapMaybe)--import NumericPrelude.Numeric-import NumericPrelude.Base---mulPrec :: Int-mulPrec = 7--{-| Show the physical quantity in a human readable form- with respect to a given unit data base. -}-showNat :: (Ord i, Show v, Field.C a, Ord a, NormedMax.C a v) =>- Db.T i a -> Value.T i v -> String-showNat db x =- let (y, unitStr) = showSplit db x- in if null unitStr- then show y- else showsPrec mulPrec y unitStr--{-| Returns the rescaled value as number- and the unit as string.- The value can be used re-scale connected values- and display them under the label of the unit -}-showSplit :: (Ord i, Show v, Field.C a, Ord a, NormedMax.C a v) =>- Db.T i a -> Value.T i v -> (v, String)-showSplit db (Value.Cons xu x) =- showScaled x (Db.positiveToFront (Db.decompose xu db))---showScaled :: (Ord i, Show v, Ord a, Field.C a, NormedMax.C a v) =>- v -> [UnitSet i a] -> (v, String)-showScaled x [] = (x, "")-showScaled x (us:uss) =- let (scaledX, sc) = chooseScale x us- in (scaledX, showUnitPart False (reciprocal us) sc ++- concatMap (\us' ->- showUnitPart True (reciprocal us') (defScale us')) uss)--{-| Choose a scale where the number becomes handy- and return the scaled number and the corresponding scale. -}-chooseScale :: (Ord i, Show v, Ord a, Field.C a, NormedMax.C a v) =>- v -> UnitSet i a -> (v, Scale a)-chooseScale x us =- let sc = findCloseScale (NormedMax.norm x) (- {- you should not reverse earlier,- otherwise the index of the default unit is wrong -}- if reciprocal us- then scales us- else reverse (scales us))- in ((1 / magnitude sc) *> x, sc)---showUnitPart :: Bool -> Bool -> Scale a -> String-showUnitPart multSign rec sc =- if rec- then "/" ++ symbol sc- else -- the multiplication sign can be omitted before the first unit component- (if multSign then "*" else " ") ++ symbol sc--defScale :: UnitSet i v -> Scale v-defScale Db.UnitSet{Db.defScaleIx=def, Db.scales=scs} = scs!!def--findCloseScale :: (Ord a, Field.C a) => a -> [Scale a] -> Scale a-findCloseScale _ [sc] = sc-findCloseScale x (sc:scs) =- if 0.9 * magnitude sc < x- then sc- else findCloseScale x scs-findCloseScale _ _ =- error "There must be at least one scale for a unit."--{-| unused -}-totalDefScale :: Ring.C a => Db.T i a -> a-totalDefScale =- foldr (\us -> (magnitude (defScale us) *)) 1--{-| unused -}-getUnit :: Ring.C a => String -> Db.T i a -> Value.T i a-getUnit sym = Db.extractOne .- (mapMaybe (\Db.UnitSet{Db.unit=u, scales=scs} ->- fmap (Value.Cons u . magnitude) (find ((sym==) . symbol) scs)))
− src-ghc-6.12/Number/Physical/Unit.hs
@@ -1,84 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2003-2006-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Abstract Physical Units--}--module Number.Physical.Unit where--import MathObj.DiscreteMap (strip)-import qualified Data.Map as Map-import Data.Map (Map)-import Data.Maybe(fromJust,fromMaybe)--import qualified Number.Ratio as Ratio--import Data.Maybe.HT(toMaybe)--import NumericPrelude.Base-import NumericPrelude.Numeric--{- | A Unit.T is a sparse vector with integer entries- Each map n->m means that the unit of the n-th dimension- is given m times.-- Example: Let the quantity of length (meter, m) be the zeroth dimension- and let the quantity of time (second, s) be the first dimension,- then the composed unit "m_s²" corresponds to the Map- [(0,1),(1,-2)]-- In future I want to have more abstraction here,- e.g. a type class from the Edison project- that abstracts from the underlying implementation.- Then one can easily switch between- Arrays, Binary trees (like Map) and what know I.--}-type T i = Map i Int---- | The neutral Unit.T-scalar :: T i-scalar = Map.empty---- | Test for the neutral Unit.T-isScalar :: T i -> Bool-isScalar = Map.null---- | Convert a List to sparse Map representation--- Example: [-1,0,-2] -> [(0,-1),(2,-2)]-fromVector :: (Enum i, Ord i) => [Int] -> T i-fromVector x = strip (Map.fromList (zip [toEnum 0 .. toEnum ((length x)-1)] x))---- | Convert Map to a List-toVector :: (Enum i, Ord i) => T i -> [Int]-toVector x = map (flip (Map.findWithDefault 0) x)- [(toEnum 0)..(maximum (Map.keys x))]---ratScale :: Ratio.T Int -> T i -> T i-ratScale expo =- fmap (fromMaybe (error "Physics.Quantity.Unit.ratScale: fractional result")) .- ratScaleMaybe2 expo--ratScaleMaybe :: Ratio.T Int -> T i -> Maybe (T i)-ratScaleMaybe expo u =- let fmMaybe = ratScaleMaybe2 expo u- in toMaybe (not (Nothing `elem` Map.elems fmMaybe))- (fmap fromJust fmMaybe)---- helper function for ratScale and ratScaleMaybe-ratScaleMaybe2 :: Ratio.T Int -> T i -> Map i (Maybe Int)-ratScaleMaybe2 expo =- fmap (\c -> let y = Ratio.scale c expo- in toMaybe (denominator y == 1) (numerator y))---{- impossible because Unit.T is a type synonyme but not a data type-instance Show (Unit.T i) where- show = show.toVector--}
− src-ghc-6.12/Number/Physical/UnitDatabase.hs
@@ -1,186 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2003-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Tools for creating a data base of physical units-and for extracting data from it--}--module Number.Physical.UnitDatabase where--import qualified Number.Physical.Unit as Unit-import qualified Algebra.Field as Field---- import Algebra.Module((*>))-import Algebra.NormedSpace.Sum(norm)--import Data.Maybe.HT (toMaybe)-import Data.List (findIndices, partition, unfoldr, find, minimumBy)--import NumericPrelude.Base-import NumericPrelude.Numeric--type T i a = [UnitSet i a]---- since field names are reused for accessor functions--- they are global identifiers and can't be reused-data InitUnitSet i a =- InitUnitSet {- initUnit :: Unit.T i,- initIndependent :: Bool,- initScales :: [InitScale a]- }--data InitScale a =- InitScale {- initSymbol :: String,- initMag :: a,- initIsUnit :: Bool,- initDefault :: Bool- }---- | An entry for a unit and there scalings.-data UnitSet i a =- UnitSet {- unit :: Unit.T i,- independent :: Bool,- defScaleIx :: Int,- reciprocal :: Bool, {-^ If True the symbols must be preceded with a '/'.- Though it sounds like an attribute of Scale- it must be the same for all scales and we need it- to sort positive powered unitsets to the front- of the list of unit components. -}- scales :: [Scale a]- }- deriving Show---- | A common scaling for a unit.-data Scale a =- Scale {- symbol :: String,- magnitude :: a- }- deriving Show----- extract the element from a list containing exact one element--- fails if there are zero or more than one element--- 'head' fails only if there are zero elements-extractOne :: [a] -> a-extractOne (x:[]) = x-extractOne _ = error "There must be exactly one default unit in the data base."--initScale :: String -> a -> Bool -> Bool -> InitScale a-initScale = InitScale-initUnitSet :: Unit.T i -> Bool -> [InitScale a] -> InitUnitSet i a-initUnitSet = InitUnitSet--createScale :: InitScale a -> Scale a-createScale (InitScale sym mg _ _) = (Scale sym mg)--createUnitSet :: InitUnitSet i a -> UnitSet i a-createUnitSet (InitUnitSet u ind scs) = (UnitSet u ind- (extractOne (findIndices initDefault scs))- False- (map createScale scs)- )--{- Filter out all scales intended for showing.- If there is none return Nothing. -}-showableUnit :: InitUnitSet i a -> Maybe (InitUnitSet i a)-showableUnit (InitUnitSet u ind scs) =- let sscs = filter initIsUnit scs- in toMaybe (not (null sscs)) (InitUnitSet u ind sscs)---{- | Raise all scales of a unit and the unit itself to the n-th power -}-powerOfUnitSet :: (Ord i, Field.C a) => Int -> UnitSet i a -> UnitSet i a-powerOfUnitSet n us@UnitSet { unit = u, reciprocal = rec, scales = scs } =- us { unit = n *> u,- reciprocal = rec == (n>0), -- flip sign- scales = map (powerOfScale n) scs }---powerOfScale :: Field.C a => Int -> Scale a -> Scale a-powerOfScale n Scale { symbol = sym, magnitude = mag } =- if n>0- then Scale { symbol = sym ++ showExp n, magnitude = ringPower n mag }- else Scale { symbol = sym ++ showExp (-n), magnitude = fieldPower n mag }--showExp :: Int -> String-showExp 1 = ""---showExp 2 = "²"---showExp 3 = "³"-showExp expo = "^" ++ show expo---{- | Reorder the unit components in a way- that the units with positive exponents lead the list. -}-positiveToFront :: [UnitSet i a] -> [UnitSet i a]-positiveToFront = uncurry (++) . partition (not . reciprocal)---- | Decompose a complex unit into common ones-decompose :: (Ord i, Field.C a) => Unit.T i -> T i a -> [UnitSet i a]-decompose u db =- case (findIndep u db) of- Just us -> [us]- Nothing ->- unfoldr (\urem ->- toMaybe (not (Unit.isScalar urem))- (let us = findClosest urem db- in (us, subtract (unit us) urem))- ) u--findIndep :: (Eq i) => Unit.T i -> T i a -> Maybe (UnitSet i a)-findIndep u = find (\UnitSet {unit=un} -> u==un) . filter independent--findClosest :: (Ord i, Field.C a) => Unit.T i -> T i a -> UnitSet i a-findClosest u =- fst . minimumBy (\(_,dist0) (_,dist1) -> compare dist0 dist1) .- evalDist u . filter (not.independent)--evalDist :: (Ord i, Field.C a)- => Unit.T i- -> T i a- -> [(UnitSet i a, Int)] {-^ (UnitSet,distance) the UnitSet may contain powered units -}-evalDist target = map (\us->- let (expo,dist)=findBestExp target (unit us)- in (powerOfUnitSet expo us, dist)- )--findBestExp :: (Ord i) => Unit.T i -> Unit.T i -> (Int, Int)-findBestExp target u =- let bestl = findMinExp (distances target (listMultiples (subtract u) (-1)))- bestr = findMinExp (distances target (listMultiples ((+) u) 1 ))- in if distLE bestl bestr- then bestl- else bestr--{-|- Find the exponent that lead to minimal distance- Since the list is infinite 'maximum' will fail- but the sequence is convex- and thus we can abort when the distance stop falling--}-findMinExp :: [(Int, Int)] -> (Int, Int)-findMinExp (x0:x1:rest) =- if distLE x0 x1- then x0- else findMinExp (x1:rest)-findMinExp _ = error "List of unit approximations with respect to the unit exponent must be infinite."--distLE :: (Int, Int) -> (Int, Int) -> Bool-distLE (_,dist0) (_,dist1) = dist0<=dist1---distLE (exp0,dist0) (exp1,dist1) = (dist0<dist1) || (dist0==dist1 && (abs exp0) <= (abs exp1))---- [(exponent,unit)] -> [(exponent,distance)]-distances :: (Ord i) => Unit.T i -> [(Int, Unit.T i)] -> [(Int, Int)]-distances targetu = map (\(expo,u)->(expo, norm (subtract u targetu)))--listMultiples :: (Unit.T i -> Unit.T i) -> Int -> [(Int, Unit.T i)]-listMultiples f dir = iterate (\(expo,u)->(expo+dir,f u)) (0,Unit.scalar)
− src-ghc-6.12/Number/Positional.hs
@@ -1,1465 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2006-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional---Exact Real Arithmetic - Computable reals.-Inspired by ''The most unreliable technique for computing pi.''-See also <http://www.haskell.org/haskellwiki/Exact_real_arithmetic> .--}-module Number.Positional where--import qualified MathObj.LaurentPolynomial as LPoly-import qualified MathObj.Polynomial.Core as Poly--import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring--- import qualified Algebra.Additive as Additive-import qualified Algebra.ToInteger as ToInteger--import qualified Prelude as P98-import qualified NumericPrelude.Numeric as NP--import NumericPrelude.Base-import NumericPrelude.Numeric hiding (sqrt, tan, one, zero, )--import qualified Data.List as List-import Data.Char (intToDigit)--import qualified Data.List.Match as Match-import Data.Function.HT (powerAssociative, nest, )-import Data.Tuple.HT (swap, )-import Data.Maybe.HT (toMaybe, )-import Data.Bool.HT (select, if', )-import NumericPrelude.List (mapLast, )-import Data.List.HT- (sliceVertical, mapAdjacent,- padLeft, padRight, )---{--FIXME:--defltBase = 10-defltExp = 4--(sqrt 0.5) -- wrong result, probably due to undetected overflows--}--{- * types -}--type T = (Exponent, Mantissa)-type FixedPoint = (Integer, Mantissa)-type Mantissa = [Digit]-type Digit = Int-type Exponent = Int-type Basis = Int---{- * basic helpers -}--moveToZero :: Basis -> Digit -> (Digit,Digit)-moveToZero b n =- let b2 = div b 2- (q,r) = divMod (n+b2) b- in (q,r-b2)--checkPosDigit :: Basis -> Digit -> Digit-checkPosDigit b d =- if d>=0 && d<b- then d- else error ("digit " ++ show d ++ " out of range [0," ++ show b ++ ")")--checkDigit :: Basis -> Digit -> Digit-checkDigit b d =- if abs d < b- then d- else error ("digit " ++ show d ++ " out of range ("- ++ show (-b) ++ "," ++ show b ++ ")")--{- |-Converts all digits to non-negative digits,-that is the usual positional representation.-However the conversion will fail-when the remaining digits are all zero.-(This cannot be improved!)--}-nonNegative :: Basis -> T -> T-nonNegative b x =- let (xe,xm) = compress b x- in (xe, nonNegativeMant b xm)--{- |-Requires, that no digit is @(basis-1)@ or @(1-basis)@.-The leading digit might be negative and might be @-basis@ or @basis@.--}-nonNegativeMant :: Basis -> Mantissa -> Mantissa-nonNegativeMant b =- let recurse (x0:x1:xs) =- select (replaceZeroChain x0 (x1:xs))- [(x1 >= 1, x0 : recurse (x1:xs)),- (x1 <= -1, (x0-1) : recurse ((x1+b):xs))]- recurse xs = xs-- replaceZeroChain x xs =- let (xZeros,xRem) = span (0==) xs- in case xRem of- [] -> (x:xs) -- keep trailing zeros, because they show precision in 'show' functions- (y:ys) ->- if y>=0 -- equivalent to y>0- then x : Match.replicate xZeros 0 ++ recurse xRem- else (x-1) : Match.replicate xZeros (b-1) ++ recurse ((y+b) : ys)-- in recurse---{- |-May prepend a digit.--}-compress :: Basis -> T -> T-compress _ x@(_, []) = x-compress b (xe, xm) =- let (hi:his,los) = unzip (map (moveToZero b) xm)- in prependDigit hi (xe, Poly.add his los)--{- |-Compress first digit.-May prepend a digit.--}-compressFirst :: Basis -> T -> T-compressFirst _ x@(_, []) = x-compressFirst b (xe, x:xs) =- let (hi,lo) = moveToZero b x- in prependDigit hi (xe, lo:xs)--{- |-Does not prepend a digit.--}-compressMant :: Basis -> Mantissa -> Mantissa-compressMant _ [] = []-compressMant b (x:xs) =- let (his,los) = unzip (map (moveToZero b) xs)- in Poly.add his (x:los)--{- |-Compress second digit.-Sometimes this is enough to keep the digits in the admissible range.-Does not prepend a digit.--}-compressSecondMant :: Basis -> Mantissa -> Mantissa-compressSecondMant b (x0:x1:xs) =- let (hi,lo) = moveToZero b x1- in x0+hi : lo : xs-compressSecondMant _ xm = xm--prependDigit :: Basis -> T -> T-prependDigit 0 x = x-prependDigit x (xe, xs) = (xe+1, x:xs)--{- |-Eliminate leading zero digits.-This will fail for zero.--}-trim :: T -> T-trim (xe,xm) =- let (xZero, xNonZero) = span (0 ==) xm- in (xe - length xZero, xNonZero)--{- |-Trim until a minimum exponent is reached.-Safe for zeros.--}-trimUntil :: Exponent -> T -> T-trimUntil e =- until (\(xe,xm) -> xe<=e ||- not (null xm || head xm == 0)) trimOnce--trimOnce :: T -> T-trimOnce (xe,[]) = (xe-1,[])-trimOnce (xe,0:xm) = (xe-1,xm)-trimOnce x = x--{- |-Accept a high leading digit for the sake of a reduced exponent.-This eliminates one leading digit.-Like 'pumpFirst' but with exponent management.--}-decreaseExp :: Basis -> T -> T-decreaseExp b (xe,xm) =- (xe-1, pumpFirst b xm)--{- |-Merge leading and second digit.-This is somehow an inverse of 'compressMant'.--}-pumpFirst :: Basis -> Mantissa -> Mantissa-pumpFirst b xm =- case xm of- (x0:x1:xs) -> x0*b+x1:xs- (x0:[]) -> x0*b:[]- [] -> []--decreaseExpFP :: Basis -> (Exponent, FixedPoint) ->- (Exponent, FixedPoint)-decreaseExpFP b (xe,xm) =- (xe-1, pumpFirstFP b xm)--pumpFirstFP :: Basis -> FixedPoint -> FixedPoint-pumpFirstFP b (x,xm) =- let xb = x * fromIntegral b- in case xm of- (x0:xs) -> (xb + fromIntegral x0, xs)- [] -> (xb, [])--{- |-Make sure that a number with absolute value less than 1-has a (small) negative exponent.-Also works with zero because it chooses an heuristic exponent for stopping.--}-negativeExp :: Basis -> T -> T-negativeExp b x =- let tx = trimUntil (-10) x- in if fst tx >=0 then decreaseExp b tx else tx---{- * conversions -}--{- ** integer -}--fromBaseCardinal :: Basis -> Integer -> T-fromBaseCardinal b n =- let mant = mantissaFromCard b n- in (length mant - 1, mant)--fromBaseInteger :: Basis -> Integer -> T-fromBaseInteger b n =- if n<0- then neg b (fromBaseCardinal b (negate n))- else fromBaseCardinal b n--mantissaToNum :: Ring.C a => Basis -> Mantissa -> a-mantissaToNum bInt =- let b = fromIntegral bInt- in foldl (\x d -> x*b + fromIntegral d) 0--mantissaFromCard :: (ToInteger.C a) => Basis -> a -> Mantissa-mantissaFromCard bInt n =- let b = NP.fromIntegral bInt- in reverse (map NP.fromIntegral- (Integral.decomposeVarPositional (repeat b) n))--mantissaFromInt :: (ToInteger.C a) => Basis -> a -> Mantissa-mantissaFromInt b n =- if n<0- then negate (mantissaFromCard b (negate n))- else mantissaFromCard b n--mantissaFromFixedInt :: Basis -> Exponent -> Integer -> Mantissa-mantissaFromFixedInt bInt e n =- let b = NP.fromIntegral bInt- in map NP.fromIntegral (uncurry (:) (List.mapAccumR- (\x () -> divMod x b)- n (replicate (pred e) ())))---{- ** rational -}--fromBaseRational :: Basis -> Rational -> T-fromBaseRational bInt x =- let b = NP.fromIntegral bInt- xDen = denominator x- (xInt,xNum) = divMod (numerator x) xDen- (xe,xm) = fromBaseInteger bInt xInt- xFrac = List.unfoldr- (\num -> toMaybe (num/=0) (divMod (num*b) xDen)) xNum- in (xe, xm ++ map NP.fromInteger xFrac)--{- ** fixed point -}--{- |-Split into integer and fractional part.--}-toFixedPoint :: Basis -> T -> FixedPoint-toFixedPoint b (xe,xm) =- if xe>=0- then let (x0,x1) = splitAtPadZero (xe+1) xm- in (mantissaToNum b x0, x1)- else (0, replicate (- succ xe) 0 ++ xm)--fromFixedPoint :: Basis -> FixedPoint -> T-fromFixedPoint b (xInt,xFrac) =- let (xe,xm) = fromBaseInteger b xInt- in (xe, xm++xFrac)---{- ** floating point -}--toDouble :: Basis -> T -> Double-toDouble b (xe,xm) =- let txm = take (mantLengthDouble b) xm- bf = fromIntegral b- br = recip bf- in fieldPower xe bf * foldr (\xi y -> fromIntegral xi + y*br) 0 txm--{- |-cf. 'Numeric.floatToDigits'--}-fromDouble :: Basis -> Double -> T-fromDouble b x =- let (n,frac) = splitFraction x- (mant,e) = P98.decodeFloat frac- fracR = alignMant b (-1)- (fromBaseRational b (mant % ringPower (-e) 2))- in fromFixedPoint b (n, fracR)--{- |-Only return as much digits as are contained in Double.-This will speedup further computations.--}-fromDoubleApprox :: Basis -> Double -> T-fromDoubleApprox b x =- let (xe,xm) = fromDouble b x- in (xe, take (mantLengthDouble b) xm)--fromDoubleRough :: Basis -> Double -> T-fromDoubleRough b x =- let (xe,xm) = fromDouble b x- in (xe, take 2 xm)--mantLengthDouble :: Basis -> Exponent-mantLengthDouble b =- let fi = fromIntegral :: Int -> Double- x = undefined :: Double- in ceiling- (logBase (fi b) (fromInteger (P98.floatRadix x)) *- fi (P98.floatDigits x))--liftDoubleApprox :: Basis -> (Double -> Double) -> T -> T-liftDoubleApprox b f = fromDoubleApprox b . f . toDouble b--liftDoubleRough :: Basis -> (Double -> Double) -> T -> T-liftDoubleRough b f = fromDoubleRough b . f . toDouble b---{- ** text -}--{- |-Show a number with respect to basis @10^e@.--}-showDec :: Exponent -> T -> String-showDec = showBasis 10--showHex :: Exponent -> T -> String-showHex = showBasis 16--showBin :: Exponent -> T -> String-showBin = showBasis 2--showBasis :: Basis -> Exponent -> T -> String-showBasis b e xBig =- let x = rootBasis b e xBig- (sign,absX) =- case cmp b x (fst x,[]) of- LT -> ("-", neg b x)- _ -> ("", x)- (int, frac) = toFixedPoint b (nonNegative b absX)- checkedFrac = map (checkPosDigit b) frac- intStr =- if b==10- then show int- else map intToDigit (mantissaFromInt b int)- in sign ++ intStr ++ '.' : map intToDigit checkedFrac---{- ** basis -}--{- |-Convert from a @b@ basis representation to a @b^e@ basis.--Works well with every exponent.--}-powerBasis :: Basis -> Exponent -> T -> T-powerBasis b e (xe,xm) =- let (ye,r) = divMod xe e- (y0,y1) = splitAtPadZero (r+1) xm- y1pad = mapLast (padRight 0 e) (sliceVertical e y1)- in (ye, map (mantissaToNum b) (y0 : y1pad))--{- |-Convert from a @b^e@ basis representation to a @b@ basis.--Works well with every exponent.--}-rootBasis :: Basis -> Exponent -> T -> T-rootBasis b e (xe,xm) =- let splitDigit d = padLeft 0 e (mantissaFromInt b d)- in nest (e-1) trimOnce- ((xe+1)*e-1, concatMap splitDigit (map (checkDigit (ringPower e b)) xm))--{- |-Convert between arbitrary bases.-This conversion is expensive (quadratic time).--}-fromBasis :: Basis -> Basis -> T -> T-fromBasis bDst bSrc x =- let (int,frac) = toFixedPoint bSrc x- in fromFixedPoint bDst (int, fromBasisMant bDst bSrc frac)--fromBasisMant :: Basis -> Basis -> Mantissa -> Mantissa-fromBasisMant _ _ [] = []-fromBasisMant bDst bSrc xm =- let {- We use a counter that alerts us,- when the digits are grown too much by Poly.scale.- Then it is time to do some carry/compression.- 'inc' is essentially the fractional number digits- needed to represent the destination base in the source base.- It is multiplied by 'unit' in order to allow integer computation. -}- inc = ceiling- (logBase (fromIntegral bSrc) (fromIntegral bDst)- * unit * 1.1 :: Double)- -- Without the correction factor, invalid digits are emitted - why?- unit :: Ring.C a => a- unit = 10000- {-- This would create finite representations- in some cases (input is finite, and the result is finite)- but will cause infinite loop otherwise.- dropWhileRev (0==) . compressMant bDst- -}- cmpr (mag,xs) = (mag - unit, compressMant bSrc xs)-- scl (_,[]) = Nothing- scl (mag,xs) =- let (newMag,y:ys) =- until ((<unit) . fst) cmpr- (mag + inc, Poly.scale bDst xs)- (d,y0) = moveToZero bSrc y- in Just (d, (newMag, y0:ys))-- in List.unfoldr scl (0::Int,xm)---{- * comparison -}--{- |-The basis must be at least ***.-Note: Equality cannot be asserted in finite time on infinite precise numbers.-If you want to assert, that a number is below a certain threshold,-you should not call this routine directly,-because it will fail on equality.-Better round the numbers before comparison.--}-cmp :: Basis -> T -> T -> Ordering-cmp b x y =- let (_,dm) = sub b x y- {- Only differences above 2 allow a safe decision,- because 1(-9)(-9)(-9)(-9)... and (-1)9999...- represent the same number, namely zero. -}- recurse [] = EQ- recurse (d:[]) = compare d 0- recurse (d0:d1:ds) =- select (recurse (d0*b+d1 : ds))- [(d0 < -2, LT),- (d0 > 2, GT)]- in recurse dm--{--Compare two numbers approximately.-This circumvents the infinite loop if both numbers are equal.-If @lessApprox bnd b x y@-then @x@ is definitely smaller than @y@.-The converse is not true.-You should use this one instead of 'cmp' for checking for bounds.--}-lessApprox :: Basis -> Exponent -> T -> T -> Bool-lessApprox b bnd x y =- let tx = trunc bnd x- ty = trunc bnd y- in LT == cmp b (liftLaurent2 LPoly.add (bnd,[2]) tx) ty--trunc :: Exponent -> T -> T-trunc bnd (xe, xm) =- if bnd > xe- then (bnd, [])- else (xe, take (1+xe-bnd) xm)--equalApprox :: Basis -> Exponent -> T -> T -> Bool-equalApprox b bnd x y =- fst (trimUntil bnd (sub b x y)) == bnd---{- |-If all values are completely defined,-then it holds--> if b then x else y == ifLazy b x y--However if @b@ is undefined,-then it is at least known that the result is between @x@ and @y@.--}-ifLazy :: Basis -> Bool -> T -> T -> T-ifLazy b c x@(xe, _) y@(ye, _) =- let ze = max xe ye- xm = alignMant b ze x- ym = alignMant b ze y- recurse :: Mantissa -> Mantissa -> Mantissa- recurse xs0 ys0 =- withTwoMantissas xs0 ys0 [] $ \(x0,xs1) (y0,ys1) ->- if abs (y0-x0) > 2- then if c then xs0 else ys0- else- {-- @x0==y0 || c@ means that in case of @x0==y0@- we do not have to check @c@.- -}- withTwoMantissas xs1 ys1 ((if x0==y0 || c then x0 else y0) : []) $- \(x1,xs2) (y1,ys2) ->- {-- We can choose @z0@ only when knowing also x1 and y1.- Because of x0x1 = 09 and y0y1 = 19- we may always choose the larger one of x0 and y0- in order to get admissible digit z1.- But this would be wrong for x0x1 = 0(-9) and y0y1 = 1(-9).- -}- let z0 = mean2 b (x0,x1) (y0,y1)- x1' = x1+(x0-z0)*b- y1' = y1+(y0-z0)*b- in if abs x1' < b && abs y1' < b- then z0 : recurse (x1':xs2) (y1':ys2)- else if c then xs0 else ys0- in (ze, recurse xm ym)--{- |-> mean2 b (x0,x1) (y0,y1)--computes @ round ((x0.x1 + y0.y1)/2) @,-where @x0.x1@ and @y0.y1@ are positional rational numbers-with respect to basis @b@--}-{-# INLINE mean2 #-}-mean2 :: Basis -> (Digit,Digit) -> (Digit,Digit) -> Digit-mean2 b (x0,x1) (y0,y1) =- ((x0+y0+1)*b + (x1+y1)) `div` (2*b)--{--In a first trial I used--> zipMantissas :: Mantissa -> Mantissa -> [(Digit, Digit)]--for implementation of ifLazy.-However, this required to extract digits from the pairs-after the decision for an argument.-With withTwoMantissas we can just return a pointer to the original list.--}-withTwoMantissas ::- Mantissa -> Mantissa ->- a ->- ((Digit,Mantissa) -> (Digit,Mantissa) -> a) ->- a-withTwoMantissas [] [] r _ = r-withTwoMantissas [] (y:ys) _ f = f (0,[]) (y,ys)-withTwoMantissas (x:xs) [] _ f = f (x,xs) (0,[])-withTwoMantissas (x:xs) (y:ys) _ f = f (x,xs) (y,ys)---align :: Basis -> Exponent -> T -> T-align b ye x = (ye, alignMant b ye x)--{- |-Get the mantissa in such a form-that it fits an expected exponent.--@x@ and @(e, alignMant b e x)@ represent the same number.--}-alignMant :: Basis -> Exponent -> T -> Mantissa-alignMant b e (xe,xm) =- if e>=xe- then replicate (e-xe) 0 ++ xm- else let (xm0,xm1) = splitAtPadZero (xe-e+1) xm- in mantissaToNum b xm0 : xm1--absolute :: T -> T-absolute (xe,xm) = (xe, absMant xm)--absMant :: Mantissa -> Mantissa-absMant xa@(x:xs) =- case compare x 0 of- EQ -> x : absMant xs- LT -> Poly.negate xa- GT -> xa-absMant [] = []---{- * arithmetic -}--fromLaurent :: LPoly.T Int -> T-fromLaurent (LPoly.Cons nxe xm) = (NP.negate nxe, xm)--toLaurent :: T -> LPoly.T Int-toLaurent (xe, xm) = LPoly.Cons (NP.negate xe) xm--liftLaurent2 ::- (LPoly.T Int -> LPoly.T Int -> LPoly.T Int) ->- (T -> T -> T)-liftLaurent2 f x y =- fromLaurent (f (toLaurent x) (toLaurent y))--liftLaurentMany ::- ([LPoly.T Int] -> LPoly.T Int) ->- ([T] -> T)-liftLaurentMany f =- fromLaurent . f . map toLaurent--{- |-Add two numbers but do not eliminate leading zeros.--}-add :: Basis -> T -> T -> T-add b x y = compress b (liftLaurent2 LPoly.add x y)--sub :: Basis -> T -> T -> T-sub b x y = compress b (liftLaurent2 LPoly.sub x y)--neg :: Basis -> T -> T-neg _ (xe, xm) = (xe, Poly.negate xm)---{- |-Add at most @basis@ summands.-More summands will violate the allowed digit range.--}-addSome :: Basis -> [T] -> T-addSome b = compress b . liftLaurentMany sum--{- |-Add many numbers efficiently by computing sums of sub lists-with only little carry propagation.--}-addMany :: Basis -> [T] -> T-addMany _ [] = zero-addMany b ys =- let recurse xs =- case map (addSome b) (sliceVertical b xs) of- [s] -> s- sums -> recurse sums- in recurse ys---type Series = [(Exponent, T)]--{- |-Add an infinite number of numbers.-You must provide a list of estimate of the current remainders.-The estimates must be given as exponents of the remainder.-If such an exponent is too small, the summation will be aborted.-If exponents are too big, computation will become inefficient.--}-series :: Basis -> Series -> T-series _ [] = error "empty series: don't know a good exponent"--- series _ [] = (0,[]) -- unfortunate choice of exponent-series b summands =- {- Some pre-processing that asserts decreasing exponents.- Increasing coefficients can appear legally- due to non-unique number representation. -}- let (es,xs) = unzip summands- safeSeries = zip (scanl1 min es) xs- in seriesPlain b safeSeries--seriesPlain :: Basis -> Series -> T-seriesPlain _ [] = error "empty series: don't know a good exponent"-seriesPlain b summands =- let (es,m:ms) = unzip (map (uncurry (align b)) summands)- eDifs = mapAdjacent (-) es- eDifLists = sliceVertical (pred b) eDifs- mLists = sliceVertical (pred b) ms- accum sumM (eDifList,mList) =- let subM = LPoly.addShiftedMany eDifList (sumM:mList)- -- lazy unary sum- len = concatMap (flip replicate ()) eDifList- (high,low) = splitAtMatchPadZero len subM- {-- 'compressMant' looks unsafe- when the residue doesn't decrease for many summands.- Then there is a leading digit of a chunk- which is not compressed for long time.- However, if the residue is estimated correctly- there can be no overflow.- -}- in (compressMant b low, high)- (trailingDigits, chunks) =- List.mapAccumL accum m (zip eDifLists mLists)- in compress b (head es, concat chunks ++ trailingDigits)--{--An alternative series implementation-could reduce carries by do the following cycle-(split, add sub-lists).-This would reduce carries to the minimum-but we must work hard in order to find out lazily-how many digits can be emitted.--}---{- |-Like 'splitAt',-but it pads with zeros if the list is too short.-This way it preserves- @ length (fst (splitAtPadZero n xs)) == n @--}-splitAtPadZero :: Int -> Mantissa -> (Mantissa, Mantissa)-splitAtPadZero n [] = (replicate n 0, [])-splitAtPadZero 0 xs = ([], xs)-splitAtPadZero n (x:xs) =- let (ys, zs) = splitAtPadZero (n-1) xs- in (x:ys, zs)--- must get a case for negative index--splitAtMatchPadZero :: [()] -> Mantissa -> (Mantissa, Mantissa)-splitAtMatchPadZero n [] = (Match.replicate n 0, [])-splitAtMatchPadZero [] xs = ([], xs)-splitAtMatchPadZero n (x:xs) =- let (ys, zs) = splitAtMatchPadZero (tail n) xs- in (x:ys, zs)---{- |-help showing series summands--}-truncSeriesSummands :: Series -> Series-truncSeriesSummands = map (\(e,x) -> (e,trunc (-20) x))----scale :: Basis -> Digit -> T -> T-scale b y x = compress b (scaleSimple y x)--{--scaleSimple :: ToInteger.C a => a -> T -> T-scaleSimple y (xe, xm) = (xe, Poly.scale (fromIntegral y) xm)--}--scaleSimple :: Basis -> T -> T-scaleSimple y (xe, xm) = (xe, Poly.scale y xm)--scaleMant :: Basis -> Digit -> Mantissa -> Mantissa-scaleMant b y xm = compressMant b (Poly.scale y xm)----mulSeries :: Basis -> T -> T -> Series-mulSeries _ (xe,[]) (ye,_) = [(xe+ye, zero)]-mulSeries b (xe,xm) (ye,ym) =- let zes = iterate pred (xe+ye+1)- zs = zipWith (\xd e -> scale b xd (e,ym)) xm (tail zes)- in zip zes zs--{- |-For obtaining n result digits it is mathematically sufficient-to know the first (n+1) digits of the operands.-However this implementation needs (n+2) digits,-because of calls to 'compress' in both 'scale' and 'series'.-We should fix that.--}-mul :: Basis -> T -> T -> T-mul b x y = trimOnce (seriesPlain b (mulSeries b x y))----{- |-Undefined if the divisor is zero - of course.-Because it is impossible to assert that a real is zero,-the routine will not throw an error in general.--ToDo: Rigorously derive the minimal required magnitude of the leading divisor digit.--}-divide :: Basis -> T -> T -> T-divide b (xe,xm) (ye',ym') =- let (ye,ym) = until ((>=b) . abs . head . snd)- (decreaseExp b)- (ye',ym')- in nest 3 trimOnce (compress b (xe-ye, divMant b ym xm))--divMant :: Basis -> Mantissa -> Mantissa -> Mantissa-divMant _ [] _ = error "Number.Positional: division by zero"-divMant b ym xm0 =- snd $- List.mapAccumL- (\xm fullCompress ->- let z = div (head xm) (head ym)- {- 'scaleMant' contains compression,- which is not much of a problem,- because it is always applied to @ym@.- That is, there is no nested call. -}- dif = pumpFirst b (Poly.sub xm (scaleMant b z ym))- cDif = if fullCompress- then compressMant b dif- else compressSecondMant b dif- in (cDif, z))- xm0 (cycle (replicate (b-1) False ++ [True]))--divMantSlow :: Basis -> Mantissa -> Mantissa -> Mantissa-divMantSlow _ [] = error "Number.Positional: division by zero"-divMantSlow b ym =- List.unfoldr- (\xm ->- let z = div (head xm) (head ym)- d = compressMant b (pumpFirst b- (Poly.sub xm (Poly.scale z ym)))- in Just (z, d))--reciprocal :: Basis -> T -> T-reciprocal b = divide b one---{- |-Fast division for small integral divisors,-which occur for instance in summands of power series.--}-divIntMant :: Basis -> Int -> Mantissa -> Mantissa-divIntMant b y xInit =- List.unfoldr (\(r,rxs) ->- let rb = r*b- (rbx, xs', run) =- case rxs of- [] -> (rb, [], r/=0)- (x:xs) -> (rb+x, xs, True)- (d,m) = divMod rbx y- in toMaybe run (d, (m, xs')))- (0,xInit)---- this version is simple but ignores the possibility of a terminating result-divIntMantInf :: Basis -> Int -> Mantissa -> Mantissa-divIntMantInf b y =- map fst . tail .- scanl (\(_,r) x -> divMod (r*b+x) y) (undefined,0) .- (++ repeat 0)--divInt :: Basis -> Digit -> T -> T-divInt b y (xe,xm) =- -- (xe, divIntMant b y xm)- let z = (xe, divIntMant b y xm)- {- Division by big integers may cause leading zeros.- Eliminate as many as we can expect from the division.- If the input number has leading zeros (it might be equal to zero),- then the result may have, too. -}- tz = until ((<=1) . fst) (\(yi,zi) -> (div yi b, trimOnce zi)) (y,z)- in snd tz---{- * algebraic functions -}---sqrt :: Basis -> T -> T-sqrt b = sqrtDriver b sqrtFP--sqrtDriver :: Basis -> (Basis -> FixedPoint -> Mantissa) -> T -> T-sqrtDriver _ _ (xe,[]) = (div xe 2, [])-sqrtDriver b sqrtFPworker x =- let (exe,ex0:exm) = if odd (fst x) then decreaseExp b x else x- (nxe,(nx0,nxm)) =- until (\xi -> fst (snd xi) >= fromIntegral b ^ 2)- (nest 2 (decreaseExpFP b))- (exe, (fromIntegral ex0, exm))- in compress b (div nxe 2, sqrtFPworker b (nx0,nxm))---sqrtMant :: Basis -> Mantissa -> Mantissa-sqrtMant _ [] = []-sqrtMant b (x:xs) =- sqrtFP b (fromIntegral x, xs)--{- |-Square root.--We need a leading digit of type Integer,-because we have to collect up to 4 digits.-This presentation can also be considered as 'FixedPoint'.--ToDo:-Rigorously derive the minimal required magnitude-of the leading digit of the root.--Mathematically the @n@th digit of the square root-depends roughly only on the first @n@ digits of the input.-This is because @sqrt (1+eps) `equalApprox` 1 + eps\/2@.-However this implementation requires @2*n@ input digits-for emitting @n@ digits.-This is due to the repeated use of 'compressMant'.-It would suffice to fully compress only every @basis@th iteration (digit)-and compress only the second leading digit in each iteration.---Can the involved operations be made lazy enough to solve-@y = (x+frac)^2@-by-@frac = (y-x^2-frac^2) \/ (2*x)@ ?--}-sqrtFP :: Basis -> FixedPoint -> Mantissa-sqrtFP b (x0,xs) =- let y0 = round (NP.sqrt (fromInteger x0 :: Double))- dyx0 = fromInteger (x0 - fromIntegral y0 ^ 2)-- accum dif (e,ty) =- -- (e,ty) == xm - (trunc j y)^2- let yj = div (head dif + y0) (2*y0)- newDif = pumpFirst b $- LPoly.addShifted e- (Poly.sub dif (scaleMant b (2*yj) ty))- [yj*yj]- {- We could always compress the full difference number,- but it is not necessary,- and we save dependencies on less significant digits. -}- cNewDif =- if mod e b == 0- then compressMant b newDif- else compressSecondMant b newDif- in (cNewDif, yj)-- truncs = lazyInits y- y = y0 : snd (List.mapAccumL- accum- (pumpFirst b (dyx0 : xs))- (zip [1..] (drop 2 truncs)))- in y---sqrtNewton :: Basis -> T -> T-sqrtNewton b = sqrtDriver b sqrtFPNewton--{- |-Newton iteration doubles the number of correct digits in every step.-Thus we process the data in chunks of sizes of powers of two.-This way we get fastest computation possible with Newton-but also more dependencies on input than necessary.-The question arises whether this implementation still fits the needs-of computational reals.-The input is requested as larger and larger chunks,-and the input itself might be computed this way,-e.g. a repeated square root.-Requesting one digit too much,-requires the double amount of work for the input computation,-which in turn multiplies time consumption by a factor of four,-and so on.--Optimal fast implementation of one routine-does not preserve fast computation of composed computations.--The routine assumes, that the integer parts is at least @b^2.@--}-sqrtFPNewton :: Basis -> FixedPoint -> Mantissa-sqrtFPNewton bInt (x0,xs) =- let b = fromIntegral bInt- chunkLengths = iterate (2*) 1- xChunks = map (mantissaToNum bInt) $ snd $- List.mapAccumL (\x cl -> swap (splitAtPadZero cl x))- xs chunkLengths- basisPowers = iterate (^2) b- truncXs = scanl (\acc (bp,frac) -> acc*bp+frac) x0- (zip basisPowers xChunks)- accum y (bp, x) =- let ybp = y * bp- newY = div (ybp + div (x * div bp b) y) 2- in (newY, newY-ybp)- y0 = round (NP.sqrt (fromInteger x0 :: Double))- yChunks = snd $ List.mapAccumL accum- y0 (zip basisPowers (tail truncXs))- yFrac = concat $ zipWith (mantissaFromFixedInt bInt) chunkLengths yChunks- in fromInteger y0 : yFrac---{- |-List.inits is defined by-@inits = foldr (\x ys -> [] : map (x:) ys) [[]]@--This is too strict for our application.--> Prelude> List.inits (0:1:2:undefined)-> [[],[0],[0,1]*** Exception: Prelude.undefined--The following routine is more lazy than 'List.inits'-and even lazier than 'Data.List.HT.inits' from @utility-ht@ package,-but it is restricted to infinite lists.-This degree of laziness is needed for @sqrtFP@.--> Prelude> lazyInits (0:1:2:undefined)-> [[],[0],[0,1],[0,1,2],[0,1,2,*** Exception: Prelude.undefined--}-lazyInits :: [a] -> [[a]]-lazyInits ~(x:xs) = [] : map (x:) (lazyInits xs)-{--The lazy match above is irrefutable,-so the pattern @[]@ would never be reached.--}----{- * transcendent functions -}--{- ** exponential functions -}--expSeries :: Basis -> T -> Series-expSeries b xOrig =- let x = negativeExp b xOrig- xps = scanl (\p n -> divInt b n (mul b x p)) one [1..]- in map (\xp -> (fst xp, xp)) xps--{- |-Absolute value of argument should be below 1.--}-expSmall :: Basis -> T -> T-expSmall b x = series b (expSeries b x)---expSeriesLazy :: Basis -> T -> Series-expSeriesLazy b x@(xe,_) =- let xps = scanl (\p n -> divInt b n (mul b x p)) one [1..]- {- much effort for computing the residue exponents- without touching the arguments mantissa -}- es :: [Double]- es = zipWith (-)- (map fromIntegral (iterate ((1+xe)+) 0))- (scanl (+) 0- (map (logBase (fromIntegral b)- . fromInteger) [1..]))- in zip (map ceiling es) xps--expSmallLazy :: Basis -> T -> T-expSmallLazy b x = series b (expSeriesLazy b x)---exp :: Basis -> T -> T-exp b x =- let (xInt,xFrac) = toFixedPoint b (compress b x)- yFrac = expSmall b (-1,xFrac)- {-- (xFrac0,xFrac1) = splitAt 2 xFrac- yFrac = mul b- -- slow convergence but simple argument- (expSmall b (-1, xFrac0))- -- fast convergence but big argument- (expSmall b (-3, xFrac1))- -}- in intPower b xInt yFrac (recipEConst b) (eConst b)--intPower :: Basis -> Integer -> T -> T -> T -> T-intPower b expon neutral recipX x =- if expon >= 0- then cardPower b expon neutral x- else cardPower b (-expon) neutral recipX--cardPower :: Basis -> Integer -> T -> T -> T-cardPower b expon neutral x =- if expon >= 0- then powerAssociative (mul b) neutral x expon- else error "negative exponent - use intPower"---{- |-Residue estimates will only hold for exponents-with absolute value below one.--The computation is based on 'Int',-thus the denominator should not be too big.-(Say, at most 1000 for 1000000 digits.)--It is not optimal to split the power into pure root and pure power-(that means, with integer exponents).-The root series can nicely handle all exponents,-but for exponents above 1 the series summands rises at the beginning-and thus make the residue estimate complicated.-For powers with integer exponents the root series turns-into the binomial formula,-which is just a complicated way to compute a power-which can also be determined by simple multiplication.--}-powerSeries :: Basis -> Rational -> T -> Series-powerSeries b expon xOrig =- let scaleRat ni yi =- divInt b (fromInteger (denominator yi) * ni) .- scaleSimple (fromInteger (numerator yi))- x = negativeExp b (sub b xOrig one)- xps = scanl (\p fac -> uncurry scaleRat fac (mul b x p))- one (zip [1..] (iterate (subtract 1) expon))- in map (\xp -> (fst xp, xp)) xps--powerSmall :: Basis -> Rational -> T -> T-powerSmall b y x = series b (powerSeries b y x)--power :: Basis -> Rational -> T -> T-power b expon x =- let num = numerator expon- den = denominator expon- rootX = root b den x- in intPower b num one (reciprocal b rootX) rootX--root :: Basis -> Integer -> T -> T-root b expon x =- let estimate = liftDoubleApprox b (** (1 / fromInteger expon)) x- estPower = cardPower b expon one estimate- residue = divide b x estPower- in mul b estimate (powerSmall b (1 % fromIntegral expon) residue)----{- |-Absolute value of argument should be below 1.--}-cosSinhSmall :: Basis -> T -> (T, T)-cosSinhSmall b x =- let (coshXps, sinhXps) = unzip (sliceVertPair (expSeries b x))- in (series b coshXps,- series b sinhXps)--{- |-Absolute value of argument should be below 1.--}-cosSinSmall :: Basis -> T -> (T, T)-cosSinSmall b x =- let (coshXps, sinhXps) = unzip (sliceVertPair (expSeries b x))- alternate s =- zipWith3 if' (cycle [True,False])- s (map (\(e,y) -> (e, neg b y)) s)- in (series b (alternate coshXps),- series b (alternate sinhXps))---{- |-Like 'cosSinSmall' but converges faster.-It calls @cosSinSmall@ with reduced arguments-using the trigonometric identities-@-cos (4*x) = 8 * cos x ^ 2 * (cos x ^ 2 - 1) + 1-sin (4*x) = 4 * sin x * cos x * (1 - 2 * sin x ^ 2)-@--Note that the faster convergence is hidden by the overhead.--The same could be achieved with a fourth power of a complex number.--}-cosSinFourth :: Basis -> T -> (T, T)-cosSinFourth b x =- let (cosx, sinx) = cosSinSmall b (divInt b 4 x)- sinx2 = mul b sinx sinx- cosx2 = mul b cosx cosx- sincosx = mul b sinx cosx- in (add b one (scale b 8 (mul b cosx2 (sub b cosx2 one))),- scale b 4 (mul b sincosx (sub b one (scale b 2 sinx2))))---cosSin :: Basis -> T -> (T, T)-cosSin b x =- let pi2 = divInt b 2 (piConst b)- {- @compress@ ensures that the leading digit of the fractional part- is close to zero -}- (quadrant, frac) = toFixedPoint b (compress b (divide b x pi2))- -- it's possibly faster if we subtract quadrant*pi/4- wrapped = if quadrant==0 then x else mul b pi2 (-1, frac)- (cosW,sinW) = cosSinSmall b wrapped- in case mod quadrant 4 of- 0 -> ( cosW, sinW)- 1 -> (neg b sinW, cosW)- 2 -> (neg b cosW, neg b sinW)- 3 -> ( sinW, neg b cosW)- _ -> error "error in implementation of 'mod'"--tan :: Basis -> T -> T-tan b x = uncurry (flip (divide b)) (cosSin b x)--cot :: Basis -> T -> T-cot b x = uncurry (divide b) (cosSin b x)---{- ** logarithmic functions -}--lnSeries :: Basis -> T -> Series-lnSeries b xOrig =- let x = negativeExp b (sub b xOrig one)- mx = neg b x- xps = zipWith (divInt b) [1..] (iterate (mul b mx) x)- in map (\xp -> (fst xp, xp)) xps--lnSmall :: Basis -> T -> T-lnSmall b x = series b (lnSeries b x)--{- |-@-x' = x - (exp x - y) \/ exp x- = x + (y * exp (-x) - 1)-@--First, the dependencies on low-significant places are currently-much more than mathematically necessary.-Check-@-*Number.Positional> expSmall 1000 (-1,100 : replicate 16 0 ++ [undefined])-(0,[1,105,171,-82,76*** Exception: Prelude.undefined-@-Every multiplication cut off two trailing digits.-@-*Number.Positional> nest 8 (mul 1000 (-1,repeat 1)) (-1,100 : replicate 16 0 ++ [undefined])-(-9,[101,*** Exception: Prelude.undefined-@--Possibly the dependencies of expSmall-could be resolved by not computing @mul@ immediately-but computing @mul@ series which are merged and subsequently added.-But this would lead to an explosion of series.--Second, even if the dependencies of all atomic operations-are reduced to a minimum,-the mathematical dependencies of the whole iteration function-are less than the sums of the parts.-Lets demonstrate this with the square root iteration.-It is-@-(1.4140 + 2/1.4140) / 2 == 1.414213578500707-(1.4149 + 2/1.4149) / 2 == 1.4142137288854335-@-That is, the digits @213@ do not depend mathematically on @x@ of @1.414x@,-but their computation depends.-Maybe there is a glorious trick to reduce the computational dependencies-to the mathematical ones.--}-lnNewton :: Basis -> T -> T-lnNewton b y =- let estimate = liftDoubleApprox b log y- expRes = mul b y (expSmall b (neg b estimate))- -- try to reduce dependencies by feeding expSmall with a small argument- residue =- sub b (mul b expRes (expSmallLazy b (neg b resTrim))) one- resTrim =- -- (-3, replicate 4 0 ++ alignMant b (-7) residue)- align b (- mantLengthDouble b) residue- lazyAdd (xe,xm) (ye,ym) =- (xe, LPoly.addShifted (xe-ye) xm ym)- x = lazyAdd estimate resTrim- in x--lnNewton' :: Basis -> T -> T-lnNewton' b y =- let estimate = liftDoubleApprox b log y- residue =- sub b (mul b y (expSmall b (neg b x))) one- -- sub b (mul b y (expSmall b (neg b estimate))) one- -- sub b (mul b y (expSmall b (neg b- -- (fst estimate, snd estimate ++ [undefined])))) one- resTrim =- -- align b (-6) residue- align b (- mantLengthDouble b) residue- -- align returns the new exponent immediately- -- nest (mantLengthDouble b) trimOnce residue- -- negativeExp b residue- lazyAdd (xe,xm) (ye,ym) =- (xe, LPoly.addShifted (xe-ye) xm ym)- x = lazyAdd estimate resTrim- -- add b estimate resTrim- -- LPoly.add checks for empty lists and is thus too strict- in x---ln :: Basis -> T -> T-ln b x@(xe,_) =- let e = round (log (fromIntegral b) * fromIntegral xe :: Double)- ei = fromIntegral e- y = trim $- if e<0- then powerAssociative (mul b) x (eConst b) (-ei)- else powerAssociative (mul b) x (recipEConst b) ei- estimate = liftDoubleApprox b log y- residue = mul b (expSmall b (neg b estimate)) y- in addSome b [(0,[e]), estimate, lnSmall b residue]---{- |-This is an inverse of 'cosSin',-also known as @atan2@ with flipped arguments.-It's very slow because of the computation of sinus and cosinus.-However, because it uses the 'atan2' implementation as estimator,-the final application of arctan series should converge rapidly.--It could be certainly accelerated by not using cosSin-and its fiddling with pi.-Instead we could analyse quadrants before calling atan2,-then calling cosSinSmall immediately.--}-angle :: Basis -> (T,T) -> T-angle b (cosx, sinx) =- let wd = atan2 (toDouble b sinx) (toDouble b cosx)- wApprox = fromDoubleApprox b wd- (cosApprox, sinApprox) = cosSin b wApprox- (cosD,sinD) =- (add b (mul b cosx cosApprox)- (mul b sinx sinApprox),- sub b (mul b sinx cosApprox)- (mul b cosx sinApprox))- sinDSmall = negativeExp b sinD- in add b wApprox (arctanSmall b (divide b sinDSmall cosD))---{- |-Arcus tangens of arguments with absolute value less than @1 \/ sqrt 3@.--}-arctanSeries :: Basis -> T -> Series-arctanSeries b xOrig =- let x = negativeExp b xOrig- mx2 = neg b (mul b x x)- xps = zipWith (divInt b) [1,3..] (iterate (mul b mx2) x)- in map (\xp -> (fst xp, xp)) xps--arctanSmall :: Basis -> T -> T-arctanSmall b x = series b (arctanSeries b x)--{- |-Efficient computation of Arcus tangens of an argument of the form @1\/n@.--}-arctanStem :: Basis -> Int -> T-arctanStem b n =- let x = (0, divIntMant b n [1])- divN2 = divInt b n . divInt b (-n)- {- this one can cause overflows in piConst too easily- mn2 = - n*n- divN2 = divInt b mn2- -}- xps = zipWith (divInt b) [1,3..] (iterate (trim . divN2) x)- in series b (map (\xp -> (fst xp, xp)) xps)---{- |-This implementation gets the first decimal place for free-by calling the arcus tangens implementation for 'Double's.--}-arctan :: Basis -> T -> T-arctan b x =- let estimate = liftDoubleRough b atan x- tanEst = tan b estimate- residue = divide b (sub b x tanEst) (add b one (mul b x tanEst))- in addSome b [estimate, arctanSmall b residue]--{- |-A classic implementation without ''cheating''-with floating point implementations.--For @x < 1 \/ sqrt 3@-(@1 \/ sqrt 3 == tan (pi\/6)@)-use @arctan@ power series.-(@sqrt 3@ is approximately @19\/11@.)--For @x > sqrt 3@-use-@arctan x = pi\/2 - arctan (1\/x)@--For other @x@ use--@arctan x = pi\/4 - 0.5*arctan ((1-x^2)\/2*x)@-(which follows from-@arctan x + arctan y == arctan ((x+y) \/ (1-x*y))@-which in turn follows from complex multiplication-@(1:+x)*(1:+y) == ((1-x*y):+(x+y))@--If @x@ is close to @sqrt 3@ or @1 \/ sqrt 3@ the computation is quite inefficient.--}-arctanClassic :: Basis -> T -> T-arctanClassic b x =- let absX = absolute x- pi2 = divInt b 2 (piConst b)- in select- (divInt b 2 (sub b pi2- (arctanSmall b- (divInt b 2 (sub b (reciprocal b x) x)))))- [(lessApprox b (-5) absX (fromBaseRational b (11%19)),- arctanSmall b x),- (lessApprox b (-5) (fromBaseRational b (19%11)) absX,- sub b pi2 (arctanSmall b (reciprocal b x)))]----{- * constants -}--{- ** elementary -}--zero :: T-zero = (0,[])--one :: T-one = (0,[1])--minusOne :: T-minusOne = (0,[-1])---{- ** transcendental -}--eConst :: Basis -> T-eConst b = expSmall b one--recipEConst :: Basis -> T-recipEConst b = expSmall b minusOne--piConst :: Basis -> T-piConst b =- let numCompress = takeWhile (0/=)- (iterate (flip div b) (4*(44+7+12+24)))- stArcTan k den = scaleSimple k (arctanStem b den)- sum' = addSome b- [stArcTan 44 57,- stArcTan 7 239,- stArcTan (-12) 682,- stArcTan 24 12943]- in foldl (const . compress b)- (scaleSimple 4 sum') numCompress----{- * auxilary functions -}--sliceVertPair :: [a] -> [(a,a)]-sliceVertPair (x0:x1:xs) = (x0,x1) : sliceVertPair xs-sliceVertPair [] = []-sliceVertPair _ = error "odd number of elements"----{--Pi as a zero of trigonometric functions. -- Is a corresponding computation that bad?-Newton converges quadratically,- but the involved trigonometric series converge only slightly more than linearly.---- lift cos to higher frequencies, in order to shift the zero to smaller values, which let trigonometric series converge faster--take 10 $ Numerics.Newton.zero 0.7 (\x -> (cos (2*x), -2 * sin (2*x)))--(\x -> (2 * cos x ^ 2 - 1, -4 * cos x * sin x))-(\x -> (cos x ^ 2 - sin x ^ 2, -4 * cos x * sin x))-(\x -> (tan x ^ 2 - 1, 4 * tan x))----- compute arctan as inverse of tan by Newton--zero 0.7 (\x -> (tan x - 1, 1 + tan x ^ 2))-zero 0.7 (\x -> (tan x - 1, 1 / cos x ^ 2))-iterate (\x -> x + (cos x - sin x) * cos x) 0.7-iterate (\x -> x + (cos x - sin x) * sqrt 0.5) 0.7-iterate (\x -> x + cos x ^ 2 - sin x * cos x) 0.7-iterate (\x -> x + 0.5 - sin x * cos x) 0.7-iterate (\x -> x + cos x ^ 2 - 0.5) 0.7----- compute section of tan and cot--zero 0.7 (\x -> (tan x - 1 / tan x, (1 + tan x ^ 2) * (1 + 1 / tan x ^ 2))-zero 0.7 (\x -> ((tan x ^ 2 - 1) * tan x, (1 + tan x ^ 2) ^ 2)-iterate (\x -> x - (sin x ^ 2 - cos x ^ 2) * sin x * cos x) 0.7-iterate (\x -> x - (sin x ^ 2 - cos x ^ 2) * 0.5) 0.7-iterate (\x -> x + 1/2 - sin x ^ 2) 0.7--For using the last formula,-the n-th digit of (sin x) must depend only on the n-th digit of x.-The same holds for (^2).-This means that no interim carry compensation is possible.-This will certainly force usage of Integer for digits,-otherwise the multiplication will overflow sooner or later.--}
− src-ghc-6.12/Number/Positional/Check.hs
@@ -1,260 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2006-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional---Interface to "Number.Positional" which dynamically checks for equal bases.--}-module Number.Positional.Check where--import qualified Number.Positional as Pos--import qualified Number.Complex as Complex---- import qualified Algebra.Module as Module-import qualified Algebra.RealTranscendental as RealTrans-import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.RealField as RealField-import qualified Algebra.Field as Field-import qualified Algebra.RealRing as RealRing-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import qualified Algebra.EqualityDecision as EqDec-import qualified Algebra.OrderDecision as OrdDec--import qualified NumericPrelude.Base as P-import qualified Prelude as P98--import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---{- |-The value @Cons b e m@-represents the number @b^e * (m!!0 \/ 1 + m!!1 \/ b + m!!2 \/ b^2 + ...)@.-The interpretation of exponent is chosen such that-@floor (logBase b (Cons b e m)) == e@.-That is, it is good for multiplication and logarithms.-(Because of the necessity to normalize the multiplication result,-the alternative interpretation wouldn't be more complicated.)-However for base conversions, roots, conversion to fixed point and-working with the fractional part-the interpretation-@b^e * (m!!0 \/ b + m!!1 \/ b^2 + m!!2 \/ b^3 + ...)@-would fit better.-The digits in the mantissa range from @1-base@ to @base-1@.-The representation is not unique-and cannot be made unique in finite time.-This way we avoid infinite carry ripples.--}-data T = Cons {base :: Int, exponent :: Int, mantissa :: Pos.Mantissa}- deriving (Show)---{- * basic helpers -}--{- |-Shift digits towards zero by partial application of carries.-E.g. 1.8 is converted to 2.(-2)-If the digits are in the range @(1-base, base-1)@-the resulting digits are in the range @((1-base)/2-2, (base-1)/2+2)@.-The result is still not unique,-but may be useful for further processing.--}-compress :: T -> T-compress = lift1 Pos.compress---{- | perfect carry resolution, works only on finite numbers -}-carry :: T -> T-carry (Cons b ex xs) =- let ys = scanr (\x (c,_) -> divMod (x+c) b) (0,undefined) xs- digits = map snd (init ys)- in prependDigit (fst (head ys)) (Cons b ex digits)---prependDigit :: Int -> T -> T-prependDigit 0 x = x-prependDigit x (Cons b ex xs) =- Cons b (ex+1) (x:xs)----{- * conversions -}--lift0 :: (Int -> Pos.T) -> T-lift0 op =- uncurry (Cons defltBase) (op defltBase)--lift1 :: (Int -> Pos.T -> Pos.T) -> T -> T-lift1 op (Cons xb xe xm) =- uncurry (Cons xb) (op xb (xe, xm))--lift2 :: (Int -> Pos.T -> Pos.T -> Pos.T) -> T -> T -> T-lift2 op (Cons xb xe xm) (Cons yb ye ym) =- let b = commonBasis xb yb- in uncurry (Cons b) (op b (xe, xm) (ye, ym))--{--lift4 :: (Int -> Pos.T -> Pos.T -> Pos.T -> Pos.T -> Pos.T) -> T -> T -> T -> T -> T-lift4 op (Cons xb xe xm) (Cons yb ye ym) (Cons zb ze zm) (Cons wb we wm) =- let b = xb `commonBasis` yb `commonBasis` zb `commonBasis` wb- in uncurry (Cons b) (op b (xe, xm) (ye, ym) (ze, zm) (we, wm))--}--commonBasis :: Pos.Basis -> Pos.Basis -> Pos.Basis-commonBasis xb yb =- if xb == yb- then xb- else error "Number.Positional: bases differ"--fromBaseInteger :: Int -> Integer -> T-fromBaseInteger b n =- uncurry (Cons b) (Pos.fromBaseInteger b n)--fromBaseRational :: Int -> Rational -> T-fromBaseRational b r =- uncurry (Cons b) (Pos.fromBaseRational b r)------defltBaseRoot :: Pos.Basis-defltBaseRoot = 10--defltBaseExp :: Pos.Exponent-defltBaseExp = 3--- exp 4 let (sqrt 0.5) fail--defltBase :: Pos.Basis-defltBase = ringPower defltBaseExp defltBaseRoot----defltShow :: T -> String-defltShow (Cons xb xe xm) =- if xb == defltBase- then Pos.showBasis defltBaseRoot defltBaseExp (xe,xm)- else error "defltShow: wrong base"---instance Additive.C T where- zero = fromBaseInteger defltBase 0- (+) = lift2 Pos.add- (-) = lift2 Pos.sub- negate = lift1 Pos.neg--instance Ring.C T where- one = fromBaseInteger defltBase 1- fromInteger n = fromBaseInteger defltBase n- (*) = lift2 Pos.mul--{--instance Module.C T T where- (*>) = (*)--}--instance Field.C T where- (/) = lift2 Pos.divide- recip = lift1 Pos.reciprocal--instance Algebraic.C T where- sqrt = lift1 Pos.sqrtNewton- root n = lift1 (flip Pos.root n)- x ^/ y = lift1 (flip Pos.power y) x--instance Trans.C T where- pi = lift0 Pos.piConst-- exp = lift1 Pos.exp- log = lift1 Pos.ln-- sin = lift1 (\b -> snd . Pos.cosSin b)- cos = lift1 (\b -> fst . Pos.cosSin b)- tan = lift1 Pos.tan-- atan = lift1 Pos.arctan-- {-- sinh = lift1 (\b -> snd . Pos.cosSinh b)- cosh = lift1 (\b -> snd . Pos.cosSinh b)- -}--{--The way EqDec and OrdDec are instantiated-it is possible to have different bases-for the arguments for comparison-and the arguments between we decide.-However, I would not rely on this.--}-instance EqDec.C T where- x==?y = lift2 (\b -> Pos.ifLazy b (x==y))--instance OrdDec.C T where- x<=?y = lift2 (\b -> Pos.ifLazy b (x<=y))--instance ZeroTestable.C T where- isZero (Cons xb xe xm) =- Pos.cmp xb (xe,xm) Pos.zero == EQ--instance Eq T where- (Cons xb xe xm) == (Cons yb ye ym) =- Pos.cmp (commonBasis xb yb) (xe,xm) (ye,ym) == EQ--instance Ord T where- compare (Cons xb xe xm) (Cons yb ye ym) =- Pos.cmp (commonBasis xb yb) (xe,xm) (ye,ym)--instance Absolute.C T where- abs = lift1 (const Pos.absolute)- signum = Absolute.signumOrd--instance RealRing.C T where- splitFraction (Cons xb xe xm) =- let (int, frac) = Pos.toFixedPoint xb (xe,xm)- in (fromInteger int, Cons xb (-1) frac)--instance RealField.C T where--instance RealTrans.C T where- atan2 = lift2 (curry . Pos.angle)----- for complex numbers--instance Complex.Power T where- power = Complex.defltPow------- legacy instances for work with GHCi-legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance P98.Num T where- fromInteger = fromBaseInteger defltBase- negate = negate --for unary minus- (+) = legacyInstance- (*) = legacyInstance- abs = legacyInstance- signum = legacyInstance--instance P98.Fractional T where- fromRational = fromBaseRational defltBase . fromRational- (/) = legacyInstance---{--MathObj.PowerSeries.approx MathObj.PowerSeries.Example.exp (Number.Positional.fromBaseInteger 10 1) List.!! 30 :: Number.Positional.Check.T--}
− src-ghc-6.12/Number/Quaternion.hs
@@ -1,296 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable (?)--Quaternions--}--module Number.Quaternion- (- -- * Cartesian form- T(real,imag),- fromReal,- (+::),-- -- * Conversions- toRotationMatrix,- fromRotationMatrix,- fromRotationMatrixDenorm,- toComplexMatrix,- fromComplexMatrix,-- -- * Operations- scalarProduct,- crossProduct,- conjugate,- scale,- norm,- normSqr,- normalize,- similarity,- slerp,- ) where--import qualified Algebra.NormedSpace.Euclidean as NormedEuc-import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.ZeroTestable(isZero)-import Algebra.Module((*>), (<*>.*>), )--import qualified Number.Complex as Complex--import Number.Complex ((+:))--import qualified NumericPrelude.Elementwise as Elem-import Algebra.Additive ((<*>.+), (<*>.-), (<*>.-$), )---- import qualified Data.Typeable as Ty-import Data.Array (Array, (!))-import qualified Data.Array as Array--import qualified Prelude as P-import NumericPrelude.Base-import NumericPrelude.Numeric hiding (signum)-import Text.Show.HT (showsInfixPrec, )-import Text.Read.HT (readsInfixPrec, )---{- TODO:-conversion to and from complex matrix--}---infix 6 +::, `Cons`--{- |-Quaternions could be defined based on Complex numbers.-However quaternions are often considered as real part and three imaginary parts.--}-data T a- = Cons {real :: !a -- ^ real part- ,imag :: !(a, a, a) -- ^ imaginary parts- }- deriving (Eq)--fromReal :: Additive.C a => a -> T a-fromReal x = Cons x zero---plusPrec :: Int-plusPrec = 6--instance (Show a) => Show (T a) where- showsPrec prec (x `Cons` y) = showsInfixPrec "+::" plusPrec prec x y--instance (Read a) => Read (T a) where- readsPrec prec = readsInfixPrec "+::" plusPrec prec (+::)----- | Construct a quaternion from real and imaginary part.-(+::) :: a -> (a,a,a) -> T a-(+::) = Cons---- | The conjugate of a quaternion.-{-# SPECIALISE conjugate :: T Double -> T Double #-}-conjugate :: (Additive.C a) => T a -> T a-conjugate (Cons r i) = Cons r (negate i)---- | Scale a quaternion by a real number.-{-# SPECIALISE scale :: Double -> T Double -> T Double #-}-scale :: (Ring.C a) => a -> T a -> T a-scale r (Cons xr xi) = Cons (r * xr) (scaleImag r xi)---- | like Module.*> but without additional class dependency-scaleImag :: (Ring.C a) => a -> (a,a,a) -> (a,a,a)-scaleImag r (xi,xj,xk) = (r * xi, r * xj, r * xk)---- | the same as NormedEuc.normSqr but with a simpler type class constraint-normSqr :: (Ring.C a) => T a -> a-normSqr (Cons xr xi) = xr*xr + scalarProduct xi xi--norm :: (Algebraic.C a) => T a -> a-norm x = sqrt (normSqr x)---- | scale a quaternion into a unit quaternion-normalize :: (Algebraic.C a) => T a -> T a-normalize x = scale (recip (norm x)) x--scalarProduct :: (Ring.C a) => (a,a,a) -> (a,a,a) -> a-scalarProduct (xi,xj,xk) (yi,yj,yk) =- xi*yi + xj*yj + xk*yk--crossProduct :: (Ring.C a) => (a,a,a) -> (a,a,a) -> (a,a,a)-crossProduct (xi,xj,xk) (yi,yj,yk) =- (xj*yk - xk*yj, xk*yi - xi*yk, xi*yj - xj*yi)--{- | similarity mapping as needed for rotating 3D vectors--It holds-@similarity (cos(a\/2) +:: scaleImag (sin(a\/2)) v) (0 +:: x) == (0 +:: y)@-where @y@ results from rotating @x@ around the axis @v@ by the angle @a@.--}-similarity :: (Field.C a) => T a -> T a -> T a-similarity c x = c*x/c--{--rotate :: (Field.C a) =>- (a,a,a) {- ^ rotation axis, must be normalized -}- -> T a- -> T a-rotate c x = c*x/c--}--{- |-Let @c@ be a unit quaternion, then it holds-@similarity c (0+::x) == toRotationMatrix c * x@--}-toRotationMatrix :: (Ring.C a) => T a -> Array (Int,Int) a-toRotationMatrix (Cons r (i,j,k)) =- let r2 = r^2- i2 = i^2; j2 = j^2; k2 = k^2- ri = 2*r*i; rj = 2*r*j; rk = 2*r*k- jk = 2*j*k; ki = 2*k*i; ij = 2*i*j- in Array.listArray ((0,0),(2,2)) $ concat $- [r2+i2-j2-k2, ij-rk, ki+rj ] :- [ij+rk, r2-i2+j2-k2, jk-ri ] :- [ki-rj, jk+ri, r2-i2-j2+k2] :- []--fromRotationMatrix :: (Algebraic.C a) => Array (Int,Int) a -> T a-fromRotationMatrix =- normalize . fromRotationMatrixDenorm---checkBounds :: (Int,Int) -> Array (Int,Int) a -> Array (Int,Int) a-checkBounds (c,r) arr =- let bnds@((c0,r0), (c1,r1)) = Array.bounds arr- in if c1-c0==c && r1-r0==r- then Array.listArray ((0,0), (c1-c0, r1-r0))- (Array.elems arr)- else error ("Quaternion.checkBounds: invalid matrix size "- ++ show bnds)---{- |-The rotation matrix must be normalized.-(I.e. no rotation with scaling)-The computed quaternion is not normalized.--}-fromRotationMatrixDenorm :: (Ring.C a) => Array (Int,Int) a -> T a-fromRotationMatrixDenorm mat' =- let mat = checkBounds (2,2) mat'- trace = sum (map (\i -> mat ! (i,i)) [0..2])- dif (i,j) = mat!(i,j) - mat!(j,i)- in Cons (trace+1) (dif (2,1), dif (0,2), dif (1,0))--{- |-Map a quaternion to complex valued 2x2 matrix,-such that quaternion addition and multiplication-is mapped to matrix addition and multiplication.-The determinant of the matrix equals the squared quaternion norm ('normSqr').-Since complex numbers can be turned into real (orthogonal) matrices,-a quaternion could also be converted into a real matrix.--}-toComplexMatrix :: (Additive.C a) =>- T a -> Array (Int,Int) (Complex.T a)-toComplexMatrix (Cons r (i,j,k)) =- Array.listArray ((0,0), (1,1))- [r+:i, (-j)+:(-k), j+:(-k), r+:(-i)]---{- |-Revert 'toComplexMatrix'.--}-fromComplexMatrix :: (Field.C a) =>- Array (Int,Int) (Complex.T a) -> T a-fromComplexMatrix mat =- let xs = Array.elems (checkBounds (1,1) mat)- [ar,br,cr,dr] = map Complex.real xs- [ai,bi,ci,di] = map Complex.imag xs- in scale (1/2) (Cons (ar+dr) (ai-di, cr-br, -ci-bi))---{- |-Spherical Linear Interpolation--Can be generalized to any transcendent Hilbert space.-In fact, we should also include the real part in the interpolation.--}-slerp :: (Trans.C a) =>- a {- ^ For @0@ return vector @v@,- for @1@ return vector @w@ -}- -> (a,a,a) {- ^ vector @v@, must be normalized -}- -> (a,a,a) {- ^ vector @w@, must be normalized -}- -> (a,a,a)-slerp c v w =- let scal = scalarProduct v w /- sqrt (scalarProduct v v * scalarProduct w w)- angle = Trans.acos scal- in scaleImag (recip (Algebraic.sqrt (1-scal^2)))- (scaleImag (Trans.sin ((1-c)*angle)) v +- scaleImag (Trans.sin ( c *angle)) w)----instance (NormedEuc.Sqr a b) => NormedEuc.Sqr a (T b) where- normSqr (Cons r i) = NormedEuc.normSqr r + NormedEuc.normSqr i--instance (Algebraic.C a, NormedEuc.Sqr a b) => NormedEuc.C a (T b) where- norm = NormedEuc.defltNorm----instance (ZeroTestable.C a) => ZeroTestable.C (T a) where- isZero (Cons r i) = isZero r && isZero i--instance (Additive.C a) => Additive.C (T a) where- {-# SPECIALISE instance Additive.C (T Float) #-}- {-# SPECIALISE instance Additive.C (T Double) #-}- zero = Cons zero zero- (+) = Elem.run2 $ Elem.with Cons <*>.+ real <*>.+ imag- (-) = Elem.run2 $ Elem.with Cons <*>.- real <*>.- imag- negate = Elem.run $ Elem.with Cons <*>.-$ real <*>.-$ imag--instance (Ring.C a) => Ring.C (T a) where- {-# SPECIALISE instance Ring.C (T Float) #-}- {-# SPECIALISE instance Ring.C (T Double) #-}- one = Cons one zero- fromInteger = fromReal . fromInteger- (Cons xr xi) * (Cons yr yi) =- Cons (xr*yr - scalarProduct xi yi)- (scaleImag xr yi + scaleImag yr xi +- crossProduct xi yi)--instance (Field.C a) => Field.C (T a) where- {-# SPECIALISE instance Field.C (T Float) #-}- {-# SPECIALISE instance Field.C (T Double) #-}- recip x = scale (recip (normSqr x)) (conjugate x)- (Cons xr xi) / y@(Cons yr yi) =- scale (recip (normSqr y))- (Cons (xr*yr + scalarProduct xi yi)- (scaleImag yr xi - scaleImag xr yi - crossProduct xi yi))--instance Vector.C T where- zero = zero- (<+>) = (+)- (*>) = scale---- | The '(*>)' method can't replace 'scale'--- because it requires the Algebra.Module constraint-instance (Module.C a b) => Module.C a (T b) where- (*>) = Elem.run2 $ Elem.with Cons <*>.*> real <*>.*> imag--instance (VectorSpace.C a b) => VectorSpace.C a (T b)-
− src-ghc-6.12/Number/Ratio.hs
@@ -1,249 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Module : Number.Ratio-Copyright : (c) Henning Thielemann, Dylan Thurston 2006--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable (?)--Ratios of mathematical objects.--}--module Number.Ratio- (- T((:%), numerator, denominator), (%),- Rational,- fromValue,-- scale,- split,- showsPrecAuto,-- toRational98,- ) where--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Indexable as Indexable--import Algebra.PrincipalIdealDomain (gcd, )-import Algebra.Units (stdUnitInv, stdAssociate, )-import Algebra.IntegralDomain (div, divMod, )-import Algebra.Ring (one, (*), (^), fromInteger, )-import Algebra.Additive (zero, (+), (-), negate, )-import Algebra.ZeroTestable (isZero, )--import Control.Monad(liftM, liftM2, )--import Foreign.Storable (Storable (..), )-import qualified Foreign.Storable.Record as Store-import Control.Applicative (liftA2, )--import Test.QuickCheck (Arbitrary(arbitrary))-import System.Random (Random(..), RandomGen, )--import qualified Data.Ratio as Ratio98--import qualified Prelude as P-import NumericPrelude.Base---infixl 7 %--data {- (PID.C a) => -} T a = (:%) {- numerator :: !a,- denominator :: !a- } deriving (Eq)-type Rational = T P.Integer---fromValue :: Ring.C a => a -> T a-fromValue x = x :% one--scale :: (PID.C a) => a -> T a -> T a-scale s (x:%y) =- let {- x and y are cancelled,- thus we can only have common divisors in s and y -}- (n:%d) = s%y- in ((n*x):%d)--{- | similar to 'Algebra.RealRing.splitFraction' -}-split :: (PID.C a) => T a -> (a, T a)-split (x:%y) =- let (q,r) = divMod x y- in (q, r:%y)--ratioPrec :: P.Int-ratioPrec = 7--(%) :: (PID.C a) => a -> a -> T a-x % y =- if isZero y- then error "NumericPrelude.% : zero denominator"- else- let d = gcd x y- y0 = div y d- x0 = div x d- in (stdUnitInv y0 * x0) :% stdAssociate y0--instance (PID.C a) => Additive.C (T a) where- zero = fromValue zero--- (x:%y) + (x':%y') = (x*y' + x'*y) % (y*y')- {-- This version reduces the size of intermediate results.- Is it also faster than the naive version?- The final (%) includes another gcd computation,- but it is still needed since e.g.- 5:%7 + (-5):%7 shall be simplified to 0:%1, not 0:%7 .- -}- (x:%y) + (x':%y') =- let d = gcd y y'- y0 = div y d- y0' = div y' d- in (x*y0' + x'*y0) % (y0*y')- negate (x:%y) = (-x) :% y--instance (PID.C a) => Ring.C (T a) where- one = fromValue one- fromInteger x = fromValue $ fromInteger x- (x:%y) * (x':%y') = (x * x') % (y * y')- (x:%y) ^ n = (x ^ n) :% (y ^ n)--instance (Absolute.C a, PID.C a) => Absolute.C (T a) where- abs (x:%y) = Absolute.abs x :% y- signum (x:%_) = Absolute.signum x :% one---liftOrd :: Ring.C a => (a -> a -> b) -> (T a -> T a -> b)-liftOrd f (x:%y) (x':%y') = f (x * y') (x' * y)--instance (Ord a, PID.C a) => Ord (T a) where- (<=) = liftOrd (<=)- (<) = liftOrd (<)- (>=) = liftOrd (>=)- (>) = liftOrd (>)- compare = liftOrd compare--instance (Ord a, PID.C a) => Indexable.C (T a) where- compare = compare--instance (ZeroTestable.C a, PID.C a) => ZeroTestable.C (T a) where- isZero = isZero . numerator--instance (Read a, PID.C a) => Read (T a) where- readsPrec p =- readParen (p >= ratioPrec)- (\r -> [(x%y,u) | (x,s) <- readsPrec ratioPrec r,- ("%",t) <- lex s,- (y,u) <- readsPrec ratioPrec t ])--instance (Show a, PID.C a) => Show (T a) where- showsPrec p (x:%y) = showParen (p >= ratioPrec)- (shows x . showString " % " . shows y)--{- |-This is an alternative show method-that is more user-friendly but also potentially more ambigious.--}--showsPrecAuto :: (Eq a, PID.C a, Show a) =>- P.Int -> T a -> String -> String-showsPrecAuto p (x:%y) =- if y == 1- then showsPrec p x- else showParen (p > ratioPrec)- (showsPrec (ratioPrec+1) x . showString "/" .- showsPrec (ratioPrec+1) y)---instance (Arbitrary a, PID.C a, ZeroTestable.C a) => Arbitrary (T a) where-{-- arbitrary = liftM2 (%) arbitrary (untilM (not . isZero) arbitrary)--This implementation leads to blocking:--*Main> Test.QuickCheck.test (\x -> x==(x::Rational))-Interrupted.--}- arbitrary =- liftM2 (%) arbitrary- (liftM (\x -> if isZero x then one else x) arbitrary)---instance (Storable a, PID.C a) => Storable (T a) where- sizeOf = Store.sizeOf store- alignment = Store.alignment store- peek = Store.peek store- poke = Store.poke store--store ::- (Storable a, PID.C a) =>- Store.Dictionary (T a)-store =- Store.run $- liftA2 (%)- (Store.element numerator)- (Store.element denominator)--{--This instance may not be appropriate for mathematical objects other than numbers.-If we encounter such a type of object-we should define an intermediate class-which provides the necessary functions.-I should remark that methods of Random like 'randomR'-cannot sensibly be defined for ratios of polynomials.--}-instance (Random a, PID.C a, ZeroTestable.C a) => Random (T a) where- random g0 =- let (numer, g1) = random g0- (denom, g2) = random g1- in (numer % if isZero denom then one else denom, g2)- randomR (lower,upper) g0 =- let (k, g1) = randomR01 g0- in (lower + k*(upper-lower), g1)---randomR01 ::- (Random a, PID.C a, RandomGen g) =>- g -> (T a, g)-randomR01 g0 =- let (denom0, g1) = random g0- denom = if isZero denom0 then one else denom0- (numer, g2) = randomR (zero,denom) g1- in (numer % denom, g2)----- * Legacy Instances----- | Necessary when mixing NumericPrelude.Numeric Rationals with Prelude98 Rationals--toRational98 :: (P.Integral a, PID.C a) => T a -> Ratio98.Ratio a-toRational98 x = numerator x Ratio98.% denominator x---legacyInstance :: String -> a-legacyInstance op =- error ("Ratio." ++ op ++ ": legacy Ring instance for simple input of numeric literals")----- instance (P.Num a, PID.C a) => P.Num (T a) where-instance (P.Num a, PID.C a, Absolute.C a) => P.Num (T a) where- fromInteger n = P.fromInteger n % 1- negate = negate -- for unary minus- (+) = legacyInstance "(+)"- (*) = legacyInstance "(*)"- abs = Absolute.abs -- needed for Arbitrary instance of NonNegative.Ratio- signum = legacyInstance "signum"---- instance (P.Num a, PID.C a) => P.Fractional (T a) where-instance (P.Num a, PID.C a, Absolute.C a) => P.Fractional (T a) where--- fromRational = Field.fromRational- fromRational x =- fromInteger (Ratio98.numerator x) :%- fromInteger (Ratio98.denominator x)- (/) = legacyInstance "(/)"
− src-ghc-6.12/Number/ResidueClass.hs
@@ -1,47 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Number.ResidueClass where--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.IntegralDomain as Integral--- import qualified Algebra.Additive as Additive--- import qualified Algebra.ZeroTestable as ZeroTestable--import NumericPrelude.Base-import NumericPrelude.Numeric hiding (recip)-import Data.Maybe.HT (toMaybe)-import Data.Maybe (fromMaybe)---add, sub :: (Integral.C a) => a -> a -> a -> a-add m x y = mod (x+y) m-sub m x y = mod (x-y) m--neg :: (Integral.C a) => a -> a -> a-neg m x = mod (-x) m--mul :: (Integral.C a) => a -> a -> a -> a-mul m x y = mod (x*y) m---{- |-The division may be ambiguous.-In this case an arbitrary quotient is returned.--@-0/:4 * 2/:4 == 0/:4-2/:4 * 2/:4 == 0/:4-@--}-divideMaybe :: (PID.C a) => a -> a -> a -> Maybe a-divideMaybe m x y =- let (d,(_,z)) = extendedGCD m y- (q,r) = divMod x d- in toMaybe (isZero r) (mod (q*z) m)--divide :: (PID.C a) => a -> a -> a -> a-divide m x y =- fromMaybe (error "ResidueClass.divide: indivisible")- (divideMaybe m x y)--recip :: (PID.C a) => a -> a -> a-recip m = divide m one
− src-ghc-6.12/Number/ResidueClass/Check.hs
@@ -1,118 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Number.ResidueClass.Check where--import qualified Number.ResidueClass as Res--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.ZeroTestable(isZero)--import qualified Data.Function.HT as Func-import Data.Maybe.HT (toMaybe, )-import Text.Show.HT (showsInfixPrec, )-import Text.Read.HT (readsInfixPrec, )--import NumericPrelude.Base-import NumericPrelude.Numeric (Int, Integer, mod, (*), )---infix 7 /:, `Cons`--{- |-The best solution seems to let 'modulus' be part of the type.-This could happen with a phantom type for modulus-and a @run@ function like 'Control.Monad.ST.runST'.-Then operations with non-matching moduli could be detected at compile time-and 'zero' and 'one' could be generated with the correct modulus.-An alternative trial can be found in module ResidueClassMaybe.--}-data T a- = Cons {modulus :: !a- ,representative :: !a- }--factorPrec :: Int-factorPrec = read "7"--instance (Show a) => Show (T a) where- showsPrec prec (Cons m r) = showsInfixPrec "/:" factorPrec prec r m--instance (Read a, Integral.C a) => Read (T a) where- readsPrec prec = readsInfixPrec "/:" factorPrec prec (/:)----- | @r \/: m@ is the residue class containing @r@ with respect to the modulus @m@-(/:) :: (Integral.C a) => a -> a -> T a-(/:) r m = Cons m (mod r m)---- | Check if two residue classes share the same modulus-isCompatible :: (Eq a) => T a -> T a -> Bool-isCompatible x y = modulus x == modulus y--maybeCompatible :: (Eq a) => T a -> T a -> Maybe a-maybeCompatible x y =- let mx = modulus x- my = modulus y- in toMaybe (mx==my) mx---fromRepresentative :: (Integral.C a) => a -> a -> T a-fromRepresentative m x = Cons m (mod x m)--lift1 :: (Eq a) => (a -> a -> a) -> T a -> T a-lift1 f x =- let m = modulus x- in Cons m (f m (representative x))--lift2 :: (Eq a) => (a -> a -> a -> a) -> T a -> T a -> T a-lift2 f x y =- maybe- (errIncompat)- (\m -> Cons m (f (modulus x) (representative x) (representative y)))- (maybeCompatible x y)--errIncompat :: a-errIncompat = error "Residue class: Incompatible operands"---zero :: (Additive.C a) => a -> T a-zero m = Cons m Additive.zero--one :: (Ring.C a) => a -> T a-one m = Cons m Ring.one--fromInteger :: (Integral.C a) => a -> Integer -> T a-fromInteger m x = fromRepresentative m (Ring.fromInteger x)----instance (Eq a) => Eq (T a) where- (==) x y =- maybe errIncompat- (const (representative x == representative y))- (maybeCompatible x y)--instance (ZeroTestable.C a) => ZeroTestable.C (T a) where- isZero (Cons _ r) = isZero r--instance (Eq a, Integral.C a) => Additive.C (T a) where- zero = error "no generic zero in a residue class, use ResidueClass.zero"- (+) = lift2 Res.add- (-) = lift2 Res.sub- negate = lift1 Res.neg--instance (Eq a, Integral.C a) => Ring.C (T a) where- one = error "no generic one in a residue class, use ResidueClass.one"- (*) = lift2 Res.mul- fromInteger = error "no generic integer in a residue class, use ResidueClass.fromInteger"- x^n = Func.powerAssociative (*) (one (modulus x)) x n--instance (Eq a, PID.C a) => Field.C (T a) where- (/) = lift2 Res.divide- recip = lift1 (flip Res.divide Ring.one)- fromRational' = error "no conversion from rational to residue class"
− src-ghc-6.12/Number/ResidueClass/Func.hs
@@ -1,102 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Number.ResidueClass.Func where--import qualified Number.ResidueClass as Res--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.EqualityDecision as EqDec--import Algebra.EqualityDecision ((==?), )-import NumericPrelude.Base-import NumericPrelude.Numeric hiding (zero, one, )--import qualified Prelude as P-import qualified NumericPrelude.Numeric as NP--{- |-Here a residue class is a representative-and the modulus is an argument.-You cannot show a value of type 'T',-you can only show it with respect to a concrete modulus.-Values cannot be compared,-because the comparison result depends on the modulus.--}-newtype T a = Cons (a -> a)--concrete :: a -> T a -> a-concrete m (Cons r) = r m--fromRepresentative :: (Integral.C a) => a -> T a-fromRepresentative = Cons . mod--lift0 :: (a -> a) -> T a-lift0 = Cons--lift1 :: (a -> a -> a) -> T a -> T a-lift1 f (Cons x) = Cons $ \m -> f m (x m)--lift2 :: (a -> a -> a -> a) -> T a -> T a -> T a-lift2 f (Cons x) (Cons y) = Cons $ \m -> f m (x m) (y m)---zero :: (Additive.C a) => T a-zero = Cons $ const Additive.zero--one :: (Ring.C a) => T a-one = Cons $ const NP.one--fromInteger :: (Integral.C a) => Integer -> T a-fromInteger = fromRepresentative . NP.fromInteger--equal :: Eq a => a -> T a -> T a -> Bool-equal m (Cons x) (Cons y) = x m == y m---instance (EqDec.C a) => EqDec.C (T a) where- (==?) (Cons x) (Cons y) (Cons eq) (Cons noteq) =- Cons (\m -> (x m ==? y m) (eq m) (noteq m))--instance (Integral.C a) => Additive.C (T a) where- zero = zero- (+) = lift2 Res.add- (-) = lift2 Res.sub- negate = lift1 Res.neg--instance (Integral.C a) => Ring.C (T a) where- one = one- (*) = lift2 Res.mul- fromInteger = Number.ResidueClass.Func.fromInteger--instance (PID.C a) => Field.C (T a) where- (/) = lift2 Res.divide- recip = (NP.one /)- fromRational' = error "no conversion from rational to residue class"---{--NumericPrelude.fromInteger seems to be not available at GHCi's prompt sometimes.-But Prelude.fromInteger requires Prelude.Num instance.--}---- legacy instances for work with GHCi-legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance (P.Num a, Integral.C a) => P.Num (T a) where- fromInteger = Number.ResidueClass.Func.fromInteger- negate = negate --for unary minus- (+) = legacyInstance- (*) = legacyInstance- abs = legacyInstance- signum = legacyInstance--instance Eq (T a) where- (==) = error "ResidueClass.Func: (==) not implemented"--instance Show (T a) where- show = error "ResidueClass.Func: 'show' not implemented"
− src-ghc-6.12/Number/ResidueClass/Maybe.hs
@@ -1,80 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Number.ResidueClass.Maybe where--import qualified Number.ResidueClass as Res--import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import NumericPrelude.Base-import NumericPrelude.Numeric--infix 7 /:, `Cons`---{- |-Here we try to provide implementations for 'zero' and 'one'-by making the modulus optional.-We have to provide non-modulus operations for the cases-where both operands have Nothing modulus.-This is problematic since operations like '(\/)'-depend essentially on the modulus.--A working version with disabled 'zero' and 'one' can be found ResidueClass.--}-data T a- = Cons {modulus :: !(Maybe a) -- ^ the modulus can be Nothing to denote a generic constant like 'zero' and 'one' which could not be bound to a specific modulus so far- ,representative :: !a- }- deriving (Show, Read)----- | @r \/: m@ is the residue class containing @r@ with respect to the modulus @m@-(/:) :: (Integral.C a) => a -> a -> T a-(/:) r m = Cons (Just m) (mod r m)---matchMaybe :: Maybe a -> Maybe a -> Maybe a-matchMaybe Nothing y = y-matchMaybe x _ = x--isCompatibleMaybe :: (Eq a) => Maybe a -> Maybe a -> Bool-isCompatibleMaybe Nothing _ = True-isCompatibleMaybe _ Nothing = True-isCompatibleMaybe (Just x) (Just y) = x == y---- | Check if two residue classes share the same modulus-isCompatible :: (Eq a) => T a -> T a -> Bool-isCompatible x y = isCompatibleMaybe (modulus x) (modulus y)---lift2 :: (Eq a) => (a -> a -> a -> a) -> (a -> a -> a) -> (T a -> T a -> T a)-lift2 f g x y =- if isCompatible x y- then let m = matchMaybe (modulus x) (modulus y)- in Cons m- (maybe g f m (representative x) (representative y))- else error "ResidueClass: Incompatible operands"---instance (Eq a, ZeroTestable.C a, Integral.C a) => Eq (T a) where- (==) x y =- if isCompatible x y- then maybe (==)- (\m x' y' -> isZero (mod (x'-y') m))- (matchMaybe (modulus x) (modulus y))- (representative x) (representative y)- else error "ResidueClass.(==): Incompatible operands"--instance (Eq a, Integral.C a) => Additive.C (T a) where- zero = Cons Nothing zero- (+) = lift2 Res.add (+)- (-) = lift2 Res.sub (-)- negate (Cons m r) = Cons m (negate r)--instance (Eq a, Integral.C a) => Ring.C (T a) where- one = Cons Nothing one- (*) = lift2 Res.mul (*)- fromInteger = Cons Nothing . fromInteger
− src-ghc-6.12/Number/ResidueClass/Reader.hs
@@ -1,96 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Number.ResidueClass.Reader where--import qualified Number.ResidueClass as Res--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive--import NumericPrelude.Base-import NumericPrelude.Numeric--import Control.Monad (liftM2, liftM4)--- import Control.Monad.Reader (MonadReader)--import qualified Prelude as P-import qualified NumericPrelude.Numeric as NP---{- |-T is a Reader monad but does not need functional dependencies-like that from the Monad Transformer Library.--}-newtype T a b = Cons {toFunc :: a -> b}--concrete :: a -> T a b -> b-concrete m (Cons r) = r m--fromRepresentative :: (Integral.C a) => a -> T a a-fromRepresentative = Cons . mod---getZero :: (Additive.C a) => T a a-getZero = Cons $ const Additive.zero--getOne :: (Ring.C a) => T a a-getOne = Cons $ const NP.one--fromInteger :: (Integral.C a) => Integer -> T a a-fromInteger = fromRepresentative . NP.fromInteger---instance Monad (T a) where- (Cons x) >>= y = Cons (\r -> toFunc (y (x r)) r)- return = Cons . const----getAdd :: Integral.C a => T a (a -> a -> a)-getAdd = Cons Res.add--getSub :: Integral.C a => T a (a -> a -> a)-getSub = Cons Res.sub--getNeg :: Integral.C a => T a (a -> a)-getNeg = Cons Res.neg--getAdditiveVars :: Integral.C a => T a (a, a -> a -> a, a -> a -> a, a -> a)-getAdditiveVars = liftM4 (,,,) getZero getAdd getSub getNeg----getMul :: Integral.C a => T a (a -> a -> a)-getMul = Cons Res.mul--getRingVars :: Integral.C a => T a (a, a -> a -> a)-getRingVars = liftM2 (,) getOne getMul----getDivide :: PID.C a => T a (a -> a -> a)-getDivide = Cons Res.divide--getRecip :: PID.C a => T a (a -> a)-getRecip = Cons Res.recip--getFieldVars :: PID.C a => T a (a -> a -> a, a -> a)-getFieldVars = liftM2 (,) getDivide getRecip--monadExample :: PID.C a => T a [a]-monadExample =- do (zero',(+~),(-~),negate') <- getAdditiveVars- (one',(*~)) <- getRingVars- ((/~),recip') <- getFieldVars- let three = one'+one'+one' -- is easier if only NP.fromInteger is visible- let seven = three+three+one'- return [zero'*~three, one'/~three, recip' three,- three *~ seven, one' +~ three +~ seven,- zero' -~ three, negate' three +~ seven]--runExample :: [Integer]-runExample =- let three = one+one+one- eleven = three+three+three + one+one- in concrete eleven monadExample
− src-ghc-6.12/Number/Root.hs
@@ -1,97 +0,0 @@-module Number.Root where--import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Ring as Ring--import qualified MathObj.RootSet as RootSet-import qualified Number.Ratio as Ratio--import Algebra.IntegralDomain (divChecked, )--import qualified NumericPrelude.Numeric as NP-import NumericPrelude.Numeric hiding (recip, )-import NumericPrelude.Base-import Prelude ()--{- |-The root degree must be positive.-This way we can implement multiplication-using only multiplication from type @a@.--}-data T a = Cons Integer a- deriving (Show)--{- |-When you use @fmap@ you must assert that-@forall n. fmap f (Cons d x) == fmap f (Cons (n*d) (x^n))@--}-instance Functor T where- fmap f (Cons d x) = Cons d (f x)--fromNumber :: a -> T a-fromNumber = Cons 1--toNumber :: Algebraic.C a => T a -> a-toNumber (Cons n x) = Algebraic.root n x--toRootSet :: Ring.C a => T a -> RootSet.T a-toRootSet (Cons d x) =- RootSet.lift0 ([negate x] ++ replicate (pred (fromInteger d)) zero ++ [one])---commonDegree :: Ring.C a => T a -> T a -> T (a,a)-commonDegree (Cons xd x) (Cons yd y) =- let zd = lcm xd yd- in Cons zd (x ^ divChecked zd xd, y ^ divChecked zd yd)--instance (Eq a, Ring.C a) => Eq (T a) where- x == y =- case commonDegree x y of- Cons _ (xn,yn) -> xn==yn--instance (Ord a, Ring.C a) => Ord (T a) where- compare x y =- case commonDegree x y of- Cons _ (xn,yn) -> compare xn yn---mul :: Ring.C a => T a -> T a -> T a-mul x y = fmap (uncurry (*)) $ commonDegree x y--div :: Field.C a => T a -> T a -> T a-div x y = fmap (uncurry (/)) $ commonDegree x y--recip :: Field.C a => T a -> T a-recip = fmap NP.recip--{- |-exponent must be non-negative--}-cardinalPower :: Ring.C a => Integer -> T a -> T a-cardinalPower n (Cons d x) =- let m = gcd n d- in Cons (divChecked d m) (x ^ divChecked n m)--{- |-exponent can be negative--}-integerPower :: Field.C a => Integer -> T a -> T a-integerPower n =- if n<0- then cardinalPower (-n) . recip- else cardinalPower n--rationalPower :: Field.C a => Rational -> T a -> T a-rationalPower n =- integerPower (Ratio.numerator n) .- root (Ratio.denominator n)--{- |-exponent must be positive--}-root :: Ring.C a => Integer -> T a -> T a-root n (Cons d x) = Cons (d*n) x--sqrt :: Ring.C a => T a -> T a-sqrt = root 2
− src-ghc-6.12/Number/SI.hs
@@ -1,271 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-{- |-Copyright : (c) Henning Thielemann 2003-2006-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Numerical values equipped with SI units.-This is considered as the user front-end.--}--module Number.SI where--import qualified Number.SI.Unit as SIUnit-import Number.SI.Unit (Dimension, bytesize)--import qualified Number.Physical as Value-import qualified Number.Physical.Unit as Unit-import qualified Number.Physical.Show as PVShow-import qualified Number.Physical.Read as PVRead-import qualified Number.Physical.UnitDatabase as UnitDatabase--import Algebra.OccasionallyScalar as OccScalar-import qualified Algebra.NormedSpace.Maximum as NormedMax--import qualified Algebra.VectorSpace as VectorSpace-import qualified Algebra.Module as Module-import qualified Algebra.Vector as Vector-import qualified Algebra.Transcendental as Trans-import qualified Algebra.Algebraic as Algebraic-import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute-import qualified Algebra.Ring as Ring-import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Algebraic (sqrt, (^/), )--import Data.Tuple.HT (mapFst, )--import qualified Prelude as P--import NumericPrelude.Numeric-import NumericPrelude.Base---newtype T a v = Cons (PValue v)-{- LANGUAGE GeneralizedNewtypeDeriving allows even this- deriving (Monad, Functor)--}--type PValue v = Value.T Dimension v--{--import Control.Monad--instance Functor (SIValue.T a) where- fmap f (SIValue.Cons x) = SIValue.Cons (f x)--instance Monad (SIValue.T a) where- (>>=) (SIValue.Cons x) f = f x- return = SIValue.Cons--}--{- I hoped it would be possible to replace these functions- by fmap and monadic liftM, liftM2, return -- but SIValue.Cons lifts from the base type 'v' to 'SIValue.T a v'- rather than the type 'PValue v' to 'SIValue.T a v'.-- I.e.- fmap :: (v -> v) -> SIValue.T a v -> SIValue.T a v--}-lift :: (PValue v0 -> PValue v1) ->- (T a v0 -> T a v1)-lift f (Cons x) = (Cons (f x))--lift2 :: (PValue v0 -> PValue v1 -> PValue v2) ->- (T a v0 -> T a v1 -> T a v2)-lift2 f (Cons x) (Cons y) = (Cons (f x y))--liftGen :: (PValue v -> x) -> (T a v -> x)-liftGen f (Cons x) = f x--lift2Gen :: (PValue v0 -> PValue v1 -> x) ->- (T a v0 -> T a v1 -> x)-lift2Gen f (Cons x) (Cons y) = f x y---{- There is almost nothing new to implement for SIValues.- We have to lift existing functions to SIValues mainly. -}--scale :: Ring.C v => v -> T a v -> T a v-scale = lift . Value.scale--fromScalarSingle :: v -> T a v-fromScalarSingle = Cons . Value.fromScalarSingle---instance (ZeroTestable.C v) => ZeroTestable.C (T a v) where- isZero = liftGen isZero--instance Eq v => Eq (T a v) where- (==) = lift2Gen (==)--showNat :: (Show v, Field.C a, Ord a, NormedMax.C a v) =>- UnitDatabase.T Dimension a -> T a v -> String-showNat db =- liftGen (PVShow.showNat db)--instance (Show v, Ord a, Trans.C a, NormedMax.C a v) =>- Show (T a v) where- showsPrec prec x =- showParen (prec > PVShow.mulPrec)- (showNat SIUnit.databaseShow x ++)--readsNat :: (Read v, VectorSpace.C a v) =>- UnitDatabase.T Dimension a -> Int -> ReadS (T a v)-readsNat db prec =- map (mapFst Cons) . PVRead.readsNat db prec--instance (Read v, Ord a, Trans.C a, VectorSpace.C a v) =>- Read (T a v) where- readsPrec = readsNat SIUnit.databaseRead--instance (Additive.C v) => Additive.C (T a v) where- zero = Cons zero- (+) = lift2 (+)- (-) = lift2 (-)- negate = lift negate--instance (Ring.C v) => Ring.C (T a v) where- (*) = lift2 (*)- fromInteger = Cons . fromInteger--instance (Ord v) => Ord (T a v) where- max = lift2 max- min = lift2 min- compare = lift2Gen compare- (<) = lift2Gen (<)- (>) = lift2Gen (>)- (<=) = lift2Gen (<=)- (>=) = lift2Gen (>=)--instance (Absolute.C v) => Absolute.C (T a v) where- abs = lift abs- signum = lift signum--instance (Field.C v) => Field.C (T a v) where- (/) = lift2 (/)- fromRational' = Cons . fromRational'--instance (Algebraic.C v) => Algebraic.C (T a v) where- sqrt = lift sqrt- x ^/ y = lift (^/ y) x--instance (Trans.C v) => Trans.C (T a v) where- pi = Cons pi- log = lift log- exp = lift exp- logBase = lift2 logBase- (**) = lift2 (**)- cos = lift cos- tan = lift tan- sin = lift sin- acos = lift acos- atan = lift atan- asin = lift asin- cosh = lift cosh- tanh = lift tanh- sinh = lift sinh- acosh = lift acosh- atanh = lift atanh- asinh = lift asinh---instance Vector.C (T a) where- zero = zero- (<+>) = (+)- (*>) = scale--instance (Module.C a v) => Module.C a (T b v) where- (*>) x = lift (x Module.*>)--instance (VectorSpace.C a v) => VectorSpace.C a (T b v)--instance (Trans.C a, Ord a, OccScalar.C a v,- Show v, NormedMax.C a v)- => OccScalar.C a (T a v) where- toScalar = toScalarShow- toMaybeScalar = liftGen toMaybeScalar- fromScalar = Cons . fromScalar----quantity :: (Field.C a, Field.C v) => Unit.T Dimension -> v -> T a v-quantity xu = Cons . Value.Cons xu--hertz, second, minute, hour, day, year,- meter, liter, gramm, tonne,- newton, pascal, bar, joule, watt,- kelvin,- coulomb, ampere, volt, ohm, farad,- bit, byte, baud,- inch, foot, yard, astronomicUnit, parsec,- mach, speedOfLight, electronVolt,- calorien, horsePower, accelerationOfEarthGravity ::- (Field.C a, Field.C v) => T a v--hertz = quantity SIUnit.frequency 1e+0-second = quantity SIUnit.time 1e+0-minute = quantity SIUnit.time SIUnit.secondsPerMinute-hour = quantity SIUnit.time SIUnit.secondsPerHour-day = quantity SIUnit.time SIUnit.secondsPerDay-year = quantity SIUnit.time SIUnit.secondsPerYear-meter = quantity SIUnit.length 1e+0-liter = quantity SIUnit.volume 1e-3-gramm = quantity SIUnit.mass 1e-3-tonne = quantity SIUnit.mass 1e+3-newton = quantity SIUnit.force 1e+0-pascal = quantity SIUnit.pressure 1e+0-bar = quantity SIUnit.pressure 1e+5-joule = quantity SIUnit.energy 1e+0-watt = quantity SIUnit.power 1e+0-coulomb = quantity SIUnit.charge 1e+0-ampere = quantity SIUnit.current 1e+0-volt = quantity SIUnit.voltage 1e+0-ohm = quantity SIUnit.resistance 1e+0-farad = quantity SIUnit.capacitance 1e+0-kelvin = quantity SIUnit.temperature 1e+0-bit = quantity SIUnit.information 1e+0-byte = quantity SIUnit.information bytesize-baud = quantity SIUnit.dataRate 1e+0--inch = quantity SIUnit.length SIUnit.meterPerInch-foot = quantity SIUnit.length SIUnit.meterPerFoot-yard = quantity SIUnit.length SIUnit.meterPerYard-astronomicUnit = quantity SIUnit.length SIUnit.meterPerAstronomicUnit-parsec = quantity SIUnit.length SIUnit.meterPerParsec--accelerationOfEarthGravity- = quantity SIUnit.acceleration SIUnit.accelerationOfEarthGravity-mach = quantity SIUnit.speed SIUnit.mach-speedOfLight = quantity SIUnit.speed SIUnit.speedOfLight-electronVolt = quantity SIUnit.energy SIUnit.electronVolt-calorien = quantity SIUnit.energy SIUnit.calorien-horsePower = quantity SIUnit.power SIUnit.horsePower------ legacy instances for work with GHCi-legacyInstance :: a-legacyInstance =- error "legacy Ring.C instance for simple input of numeric literals"--instance (Ord a, Trans.C a, NormedMax.C a v, P.Num v, Ring.C v) =>- P.Num (T a v) where- fromInteger = fromInteger- negate = negate -- for unary minus- (+) = legacyInstance- (*) = legacyInstance- abs = legacyInstance- signum = legacyInstance--instance (Ord a, Trans.C a, NormedMax.C a v, P.Num v, Field.C v) =>- P.Fractional (T a v) where- fromRational = fromRational- (/) = legacyInstance
− src-ghc-6.12/Number/SI/Unit.hs
@@ -1,293 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Copyright : (c) Henning Thielemann 2003-License : GPL--Maintainer : numericprelude@henning-thielemann.de-Stability : provisional-Portability : portable--Special physical units: SI unit system--}--module Number.SI.Unit where--import qualified Algebra.Transcendental as Trans-import qualified Algebra.Field as Field--import qualified Number.Physical.Unit as Unit-import qualified Number.Physical.UnitDatabase as UnitDatabase-import Number.Physical.UnitDatabase(initScale, initUnitSet)-import Data.Maybe(catMaybes)--import NumericPrelude.Base hiding (length)-import NumericPrelude.Numeric hiding (one)--data Dimension =- Length | Time | Mass | Charge |- Angle | Temperature | Information- deriving (Eq, Ord, Enum, Show)----- | Some common quantity classes.-angle, angularSpeed, -- needs explicit signature because it does not occur in the database- length, distance, area, volume, time,- frequency, speed, acceleration, mass,- force, pressure, energy, power,- charge, current, voltage, resistance,- capacitance, temperature,- information, dataRate- :: Unit.T Dimension--length = Unit.fromVector [ 1, 0, 0, 0, 0, 0, 0]--- synonym for 'length' which is distinct from List.length-distance = Unit.fromVector [ 1, 0, 0, 0, 0, 0, 0]-area = Unit.fromVector [ 2, 0, 0, 0, 0, 0, 0]-volume = Unit.fromVector [ 3, 0, 0, 0, 0, 0, 0]-time = Unit.fromVector [ 0, 1, 0, 0, 0, 0, 0]-frequency = Unit.fromVector [ 0,-1, 0, 0, 0, 0, 0]-speed = Unit.fromVector [ 1,-1, 0, 0, 0, 0, 0]-acceleration = Unit.fromVector [ 1,-2, 0, 0, 0, 0, 0]-mass = Unit.fromVector [ 0, 0, 1, 0, 0, 0, 0]-force = Unit.fromVector [ 1,-2, 1, 0, 0, 0, 0]-pressure = Unit.fromVector [-1,-2, 1, 0, 0, 0, 0]-energy = Unit.fromVector [ 2,-2, 1, 0, 0, 0, 0]-power = Unit.fromVector [ 2,-3, 1, 0, 0, 0, 0]-charge = Unit.fromVector [ 0, 0, 0, 1, 0, 0, 0]-current = Unit.fromVector [ 0,-1, 0, 1, 0, 0, 0]-voltage = Unit.fromVector [ 2,-2, 1,-1, 0, 0, 0]-resistance = Unit.fromVector [ 2,-1, 1,-2, 0, 0, 0]-capacitance = Unit.fromVector [-2, 2,-1, 2, 0, 0, 0]-angle = Unit.fromVector [ 0, 0, 0, 0, 1, 0, 0]-angularSpeed = Unit.fromVector [ 0,-1, 0, 0, 1, 0, 0]-temperature = Unit.fromVector [ 0, 0, 0, 0, 0, 1, 0]-information = Unit.fromVector [ 0, 0, 0, 0, 0, 0, 1]-dataRate = Unit.fromVector [ 0,-1, 0, 0, 0, 0, 1]---percent, fourth, half, threeFourth :: Field.C a => a--secondsPerMinute, secondsPerHour, secondsPerDay, secondsPerYear, - meterPerInch, meterPerFoot, meterPerYard,- meterPerAstronomicUnit, meterPerParsec, - accelerationOfEarthGravity,- k2, deg180, grad200, bytesize :: Field.C a => a--radPerDeg, radPerGrad :: Trans.C a => a--mach, speedOfLight, electronVolt,- calorien, horsePower :: Field.C a => a--yocto, zepto, atto, femto, pico,- nano, micro, milli, centi, deci,- one, deca, hecto, kilo, mega,- giga, tera, peta, exa, zetta, yotta :: Field.C a => a---- | Common constants-percent = 0.01-fourth = 0.25-half = 0.50-threeFourth = 0.75---- | Conversion factors-secondsPerMinute = 60-secondsPerHour = 60*secondsPerMinute-secondsPerDay = 24*secondsPerHour -- 86400.0-secondsPerYear = 365.2422*secondsPerDay--meterPerInch = 0.0254-meterPerFoot = 0.3048-meterPerYard = 0.9144-meterPerAstronomicUnit = 149.6e6-meterPerParsec = 30.857e12--k2 = 1024-deg180 = 180-grad200 = 200-radPerDeg = pi/deg180;-radPerGrad = pi/grad200;-bytesize = 8------ | Physical constants-accelerationOfEarthGravity = 9.80665-mach = 332.0-speedOfLight = 299792458.0-electronVolt = 1.602e-19-calorien = 4.19-horsePower = 736.0---- | Prefixes used for SI units-yocto = 1.0e-24-zepto = 1.0e-21-atto = 1.0e-18-femto = 1.0e-15-pico = 1.0e-12-nano = 1.0e-9-micro = 1.0e-6-milli = 1.0e-3-centi = 1.0e-2-deci = 1.0e-1-one = 1.0e0-deca = 1.0e1-hecto = 1.0e2-kilo = 1.0e3-mega = 1.0e6-giga = 1.0e9-tera = 1.0e12-peta = 1.0e15-exa = 1.0e18-zetta = 1.0e21-yotta = 1.0e24----{- | UnitDatabase.T of units and their common scalings -}-databaseRead, databaseShow :: Trans.C a => UnitDatabase.T Dimension a-databaseRead = map UnitDatabase.createUnitSet database-databaseShow =- map UnitDatabase.createUnitSet $- catMaybes $ map UnitDatabase.showableUnit database--database :: Trans.C a => [UnitDatabase.InitUnitSet Dimension a]-database = [- (initUnitSet Unit.scalar False [- (initScale "pi" pi False False),- (initScale "e" (exp 1) False False),- (initScale "i" (sqrt (-1)) False False),- (initScale "%" percent False False),- (initScale "\188" fourth False False),- (initScale "\189" half False False),- (initScale "\190" threeFourth False False)- ]),- (initUnitSet angle False [- (initScale "''" (radPerDeg/secondsPerHour) True False),- (initScale "'" (radPerDeg/secondsPerMinute) True False),- (initScale "grad" radPerGrad False False),- (initScale "\176" radPerDeg True True ),- (initScale "rad" one False False)- ]),- (initUnitSet frequency True [- (initScale "bpm" (one/secondsPerMinute) False False),- (initScale "Hz" one True True ),- (initScale "kHz" kilo True False),- (initScale "MHz" mega True False),- (initScale "GHz" giga True False)- ]),- (initUnitSet time False [- (initScale "ns" nano True False),- (initScale "\181s" micro True False),- (initScale "ms" milli True False),- (initScale "s" one True True ),- (initScale "min" secondsPerMinute True False),- (initScale "h" secondsPerHour True False),- (initScale "d" secondsPerDay True False),- (initScale "a" secondsPerYear True False)- ]),--- (initUnitSet distance False [- (initUnitSet length False [- (initScale "nm" nano True False),- (initScale "\181m" micro True False),- (initScale "mm" milli True False),- (initScale "cm" centi True False),- (initScale "dm" deci True False),- (initScale "m" one True True ),- (initScale "km" kilo True False)- ]),- (initUnitSet area False [- (initScale "ha" (hecto*hecto) False False)- ]),- (initUnitSet volume False [- (initScale "ml" (milli*milli) False False),- (initScale "cl" (milli*centi) False False),- (initScale "l" milli False False)- ]),- (initUnitSet speed False [- (initScale "mach" mach False False),- (initScale "c" speedOfLight False False)- ]),- (initUnitSet acceleration False [- (initScale "G" accelerationOfEarthGravity False False)- ]),- (initUnitSet mass False [- (initScale "\181g" nano True False),- (initScale "mg" micro True False),- (initScale "g" milli True False),- (initScale "kg" one True True ),- (initScale "dt" hecto True False),- (initScale "t" kilo True False),- (initScale "kt" mega True False)- ]),- (initUnitSet force False [- (initScale "N" one True True ),- (initScale "kp" accelerationOfEarthGravity False False),- (initScale "kN" kilo True False)- ]),- (initUnitSet pressure False [- (initScale "Pa" one True True ),- (initScale "mbar" hecto False False),- (initScale "kPa" kilo True False),- (initScale "bar" (hecto*kilo) False False)- ]),- (initUnitSet energy False [- (initScale "eV" electronVolt False False),- (initScale "J" one True True ),- (initScale "cal" calorien False False),- (initScale "kJ" kilo True False),- (initScale "kcal" (kilo*calorien) False False),- (initScale "MJ" mega True False)- ]),- (initUnitSet power False [- (initScale "mW" milli True False),- (initScale "W" one True True ),- (initScale "HP" horsePower False False),- (initScale "kW" kilo True False),- (initScale "MW" mega True False)- ]),- (initUnitSet charge False [- (initScale "C" one True True )- ]),- (initUnitSet current False [- (initScale "\181A" micro True False),- (initScale "mA" milli True False),- (initScale "A" one True True )- ]),- (initUnitSet voltage False [- (initScale "mV" milli True False),- (initScale "V" one True True ),- (initScale "kV" kilo True False),- (initScale "MV" mega True False),- (initScale "GV" giga True False)- ]),- (initUnitSet resistance False [- (initScale "Ohm" one True True ),- (initScale "kOhm" kilo True False),- (initScale "MOhm" mega True False)- ]),- (initUnitSet capacitance False [- (initScale "pF" pico True False),- (initScale "nF" nano True False),- (initScale "\181F" micro True False),- (initScale "mF" milli True False),- (initScale "F" one True True )- ]),- (initUnitSet temperature False [- (initScale "K" one True True )- ]),- (initUnitSet information False [- (initScale "bit" one True True ),- (initScale "B" bytesize True False),- (initScale "kB" (kilo*bytesize) False False),- (initScale "KB" (k2*bytesize) True False),- (initScale "MB" (k2*k2*bytesize) True False),- (initScale "GB" (k2*k2*k2*bytesize) True False)- ]),- (initUnitSet dataRate True [- (initScale "baud" one True True ),- (initScale "kbaud" kilo False False),- (initScale "Kbaud" k2 True False),- (initScale "Mbaud" (k2*k2) True False),- (initScale "Gbaud" (k2*k2*k2) True False)- ])- ]
− src-ghc-6.12/NumericPrelude.hs
@@ -1,9 +0,0 @@-module NumericPrelude- (module NumericPrelude.Numeric,- module NumericPrelude.Base,- max, min, abs, ) where--import NumericPrelude.Numeric hiding (abs, )-import NumericPrelude.Base hiding (max, min, )-import Prelude ()-import Algebra.Lattice (max, min, abs, )
− src-ghc-6.12/NumericPrelude/Base.hs
@@ -1,12 +0,0 @@-{- |-The only point of this module is-to reexport items that we want from the standard Prelude.--}--module NumericPrelude.Base (module Prelude) where-import Prelude hiding (- Int, Integer, Float, Double, Rational, Num(..), Real(..),- Integral(..), Fractional(..), Floating(..), RealFrac(..),- RealFloat(..), subtract, even, odd,- gcd, lcm, (^), (^^), sum, product,- fromIntegral, fromRational, )
− src-ghc-6.12/NumericPrelude/Elementwise.hs
@@ -1,54 +0,0 @@-module NumericPrelude.Elementwise where--import Control.Applicative (Applicative(pure, (<*>)), )--{- |-A reader monad for the special purpose-of defining instances of certain operations on tuples and records.-It does not add any new functionality to the common Reader monad,-but it restricts the functions to the required ones-and exports them from one module.-That is you do not have to import-both Control.Monad.Trans.Reader and Control.Applicative.-The type also tells the user, for what the Reader monad is used.-We can more easily replace or extend the implementation when needed.--}-newtype T v a = Cons {run :: v -> a}--{-# INLINE with #-}-with :: a -> T v a-with e = Cons $ \ _v -> e--{-# INLINE element #-}-element :: (v -> a) -> T v a-element = Cons---{-# INLINE run2 #-}-run2 :: T (x,y) a -> x -> y -> a-run2 = curry . run--{-# INLINE run3 #-}-run3 :: T (x,y,z) a -> x -> y -> z -> a-run3 e x y z = run e (x,y,z)--{-# INLINE run4 #-}-run4 :: T (x,y,z,w) a -> x -> y -> z -> w -> a-run4 e x y z w = run e (x,y,z,w)--{-# INLINE run5 #-}-run5 :: T (x,y,z,u,w) a -> x -> y -> z -> u -> w -> a-run5 e x y z u w = run e (x,y,z,u,w)---instance Functor (T v) where- {-# INLINE fmap #-}- fmap f (Cons e) =- Cons $ \v -> f $ e v--instance Applicative (T v) where- {-# INLINE pure #-}- {-# INLINE (<*>) #-}- pure = with- Cons f <*> Cons e =- Cons $ \v -> f v $ e v
− src-ghc-6.12/NumericPrelude/List.hs
@@ -1,71 +0,0 @@-module NumericPrelude.List where--import Data.List.HT (switchL, switchR, )---{- * Zip lists -}--{- | zip two lists using an arbitrary function, the shorter list is padded -}-{-# INLINE zipWithPad #-}-zipWithPad :: a {-^ padding value -}- -> (a -> a -> b) {-^ function applied to corresponding elements of the lists -}- -> [a]- -> [a]- -> [b]-zipWithPad z f =- let aux l [] = map (\x -> f x z) l- aux [] l = map (\y -> f z y) l- aux (x:xs) (y:ys) = f x y : aux xs ys- in aux--{-# INLINE zipWithOverlap #-}-zipWithOverlap :: (a -> c) -> (b -> c) -> (a -> b -> c) -> [a] -> [b] -> [c]-zipWithOverlap fa fb fab =- let aux (x:xs) (y:ys) = fab x y : aux xs ys- aux xs [] = map fa xs- aux [] ys = map fb ys- in aux--{--This is exported Checked.zipWith.-We need to define it here in order to prevent an import cycle.--}-zipWithChecked- :: (a -> b -> c) {-^ function applied to corresponding elements of the lists -}- -> [a]- -> [b]- -> [c]-zipWithChecked f =- let aux (x:xs) (y:ys) = f x y : aux xs ys- aux [] [] = []- aux _ _ = error "Checked.zipWith: lists must have the same length"- in aux---{- |-Apply a function to the last element of a list.-If the list is empty, nothing changes.--}-{-# INLINE mapLast #-}-mapLast :: (a -> a) -> [a] -> [a]-mapLast f =- switchL []- (\x xs ->- uncurry (:) $- foldr (\x1 k x0 -> (x0, uncurry (:) (k x1)))- (\x0 -> (f x0, [])) xs x)--mapLast' :: (a -> a) -> [a] -> [a]-mapLast' f =- let recourse [] = [] -- behaviour as needed in powerBasis- -- otherwise: error "mapLast: empty list"- recourse (x:xs) =- uncurry (:) $- if null xs- then (f x, [])- else (x, recourse xs)- in recourse--mapLast'' :: (a -> a) -> [a] -> [a]-mapLast'' f =- switchR [] (\xs x -> xs ++ [f x])
− src-ghc-6.12/NumericPrelude/List/Checked.hs
@@ -1,94 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Some functions that are counterparts of functions from "Data.List"-using NumericPrelude.Numeric type classes.-They are distinct in that they check for valid arguments,-e.g. the length argument of 'take' must be at most the length of the input list.-However, since many Haskell programs rely on the absence of such checks,-we did not make these the default implementations-as in "NumericPrelude.List.Generic".--}-module NumericPrelude.List.Checked- (take, drop, splitAt, (!!), zipWith,- ) where--import qualified Algebra.ToInteger as ToInteger--- import qualified Algebra.Ring as Ring-import Algebra.Ring (one, )-import Algebra.Additive (zero, (-), )--import Data.Tuple.HT (mapFst, )--import qualified NumericPrelude.List as NPList--import NumericPrelude.Base hiding (take, drop, splitAt, length, replicate, (!!), zipWith, )---moduleError :: String -> String -> a-moduleError name msg =- error $ "NumericPrelude.List.Left." ++ name ++ ": " ++ msg--{- |-Taken number of elements must be at most the length of the list,-otherwise the end of the list is undefined.--}-take :: (ToInteger.C n) => n -> [a] -> [a]-take n =- if n<=zero- then const []- else \xt ->- case xt of- [] -> moduleError "take" "index out of range"- (x:xs) -> x : take (n-one) xs--{- |-Dropped number of elements must be at most the length of the list,-otherwise the end of the list is undefined.--}-drop :: (ToInteger.C n) => n -> [a] -> [a]-drop n =- if n<=zero- then id- else \xt ->- case xt of- [] -> moduleError "drop" "index out of range"- (_:xs) -> drop (n-one) xs--{- |-Split position must be at most the length of the list,-otherwise the end of the first list and the second list are undefined.--}-splitAt :: (ToInteger.C n) => n -> [a] -> ([a], [a])-splitAt n xt =- if n<=zero- then ([], xt)- else- case xt of- [] -> moduleError "splitAt" "index out of range"- (x:xs) -> mapFst (x:) $ splitAt (n-one) xs--{- |-The index must be smaller than the length of the list,-otherwise the result is undefined.--}-(!!) :: (ToInteger.C n) => [a] -> n -> a-(!!) [] _ = moduleError "(!!)" "index out of range"-(!!) (x:xs) n =- if n<=zero- then x- else (!!) xs (n-one)---{- |-Zip two lists which must be of the same length.-This is checked only lazily, that is unequal lengths are detected only-if the list is evaluated completely.-But it is more strict than @zipWithPad undefined f@-since the latter one may succeed on unequal length list if @f@ is lazy.--}-zipWith- :: (a -> b -> c) {-^ function applied to corresponding elements of the lists -}- -> [a]- -> [b]- -> [c]-zipWith = NPList.zipWithChecked
− src-ghc-6.12/NumericPrelude/List/Generic.hs
@@ -1,84 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{- |-Functions that are counterparts of the @generic@ functions in "Data.List"-using NumericPrelude.Numeric type classes.-For input arguments we use the restrictive @ToInteger@ constraint,-although in principle @RealRing@ would be enough.-However we think that @take 0.5 xs@ is rather a bug than a feature,-thus we forbid fractional types.-On the other hand fractional types as result can be quite handy,-e.g. in @average xs = sum xs / length xs@.--}-module NumericPrelude.List.Generic- ((!!), lengthLeft, lengthRight, replicate,- take, drop, splitAt,- findIndex, elemIndex, findIndices, elemIndices,- ) where--import NumericPrelude.List.Checked ((!!), )--import qualified Algebra.ToInteger as ToInteger-import qualified Algebra.Ring as Ring-import Algebra.Ring (one, )-import Algebra.Additive (zero, (+), (-), )--import qualified Data.Maybe as Maybe-import Data.Tuple.HT (mapFst, )--import NumericPrelude.Base as List- hiding (take, drop, splitAt, length, replicate, (!!), )---replicate :: (ToInteger.C n) => n -> a -> [a]-replicate n x = take n (List.repeat x)--take :: (ToInteger.C n) => n -> [a] -> [a]-take _ [] = []-take n (x:xs) =- if n<=zero- then []- else x : take (n-one) xs--drop :: (ToInteger.C n) => n -> [a] -> [a]-drop _ [] = []-drop n xt@(_:xs) =- if n<=zero- then xt- else drop (n-one) xs--splitAt :: (ToInteger.C n) => n -> [a] -> ([a], [a])-splitAt _ [] = ([], [])-splitAt n xt@(x:xs) =- if n<=zero- then ([], xt)- else mapFst (x:) $ splitAt (n-one) xs---{- |-Left associative length computation-that is appropriate for types like @Integer@.--}-lengthLeft :: (Ring.C n) => [a] -> n-lengthLeft = List.foldl (\n _ -> n+one) zero--{- |-Right associative length computation-that is appropriate for types like @Peano@ number.--}-lengthRight :: (Ring.C n) => [a] -> n-lengthRight = List.foldr (\_ n -> one+n) zero--elemIndex :: (Ring.C n, Eq a) => a -> [a] -> Maybe n-elemIndex e = findIndex (e==)--elemIndices :: (Ring.C n, Eq a) => a -> [a] -> [n]-elemIndices e = findIndices (e==)--findIndex :: Ring.C n => (a -> Bool) -> [a] -> Maybe n-findIndex p = Maybe.listToMaybe . findIndices p--findIndices :: Ring.C n => (a -> Bool) -> [a] -> [n]-findIndices p =- map fst .- filter (p . snd) .- zip (iterate (one+) zero)
− src-ghc-6.12/NumericPrelude/Numeric.hs
@@ -1,44 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module NumericPrelude.Numeric (- {- Additive -} (+), (-), negate, zero, subtract, sum, sum1,- {- ZeroTestable -} isZero,- {- Ring -} (*), one, fromInteger, (^), ringPower, sqr, product, product1,- {- IntegralDomain -} div, mod, divMod, divides, even, odd,- {- Field -} (/), recip, fromRational', (^-), fieldPower, fromRational,- {- Algebraic -} (^/), sqrt,- {- Transcendental -}- pi, exp, log, logBase, (**), (^?), sin, cos, tan,- asin, acos, atan, sinh, cosh, tanh, asinh, acosh, atanh,- {- Absolute -} abs, signum,- {- RealIntegral -} quot, rem, quotRem,- {- RealFrac -} splitFraction, fraction, truncate, round, ceiling, floor, approxRational,- {- RealTrans -} atan2,- {- ToRational -} toRational,- {- ToInteger -} toInteger, fromIntegral,- {- Units -} isUnit, stdAssociate, stdUnit, stdUnitInv,- {- PID -} extendedGCD, gcd, lcm, euclid, extendedEuclid,- {- Ratio -} Rational, (%), numerator, denominator,- Integer, Int, Float, Double,- {- Module -} (*>)-) where--import Number.Ratio (Rational, (%), numerator, denominator)--import Algebra.Module((*>))-import Algebra.RealTranscendental(atan2)-import Algebra.Transcendental-import Algebra.Algebraic((^/), sqrt)-import Algebra.RealRing(splitFraction, fraction, truncate, round, ceiling, floor, approxRational, )-import Algebra.Field((/), (^-), recip, fromRational', fromRational, )-import Algebra.PrincipalIdealDomain (extendedGCD, gcd, lcm, euclid, extendedEuclid)-import Algebra.Units (isUnit, stdAssociate, stdUnit, stdUnitInv)-import Algebra.RealIntegral (quot, rem, quotRem, )-import Algebra.IntegralDomain (div, mod, divMod, divides, even, odd)-import Algebra.Absolute (abs, signum, )-import Algebra.Ring (one, fromInteger, (*), (^), sqr, product, product1)-import Algebra.Additive (zero, (+), (-), negate, subtract, sum, sum1)-import Algebra.ZeroTestable (isZero)-import Algebra.ToInteger (ringPower, fieldPower, toInteger, fromIntegral, )-import Algebra.ToRational (toRational, )--import Prelude (Int, Integer, Float, Double)
src/Algebra/Absolute.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Absolute ( C(abs, signum), absOrd, signumOrd,@@ -6,7 +6,6 @@ import qualified Algebra.Ring as Ring import qualified Algebra.Additive as Additive-import qualified Algebra.ZeroTestable as ZeroTestable import Algebra.Ring (one, ) -- fromInteger import Algebra.Additive (zero, negate,)@@ -38,8 +37,17 @@ > a * (max b c) === max (a*b) (a*c) where a >= 0 > absOrd a === max a (-a) +If the type is @ZeroTestable@, then it should hold++> isZero a === signum a == signum (negate a)+ We do not require 'Ord' as superclass since we also want to have "Number.Complex" as instance.+We also do not require @ZeroTestable@ as superclass,+because we like to have expressions of foreign languages+to be instances (cf. embedded domain specific language approach, EDSL),+as well as function types.+ 'abs' for complex numbers alone may have an inappropriate type, because it does not reflect that the absolute value is a real number. You might prefer 'Number.Complex.magnitude'.@@ -53,7 +61,7 @@ we could relax the superclasses to @Additive@ and 'Ord' if his class would only contain 'signum'. -}-class (Ring.C a, ZeroTestable.C a) => C a where+class (Ring.C a) => C a where abs :: a -> a signum :: a -> a
src/Algebra/Additive.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Additive ( -- * Class C,@@ -8,6 +8,8 @@ -- * Complex functions sum, sum1,+ sumNestedAssociative,+ sumNestedCommutative, -- * Instance definition helpers elementAdd, elementSub, elementNeg,@@ -28,6 +30,7 @@ import qualified NumericPrelude.Elementwise as Elem import Control.Applicative (Applicative(pure, (<*>)), ) import Data.Tuple.HT (fst3, snd3, thd3, )+import qualified Data.List.Match as Match import qualified Data.Ratio as Ratio98 import qualified Prelude as P@@ -95,6 +98,50 @@ -} sum1 :: (C a) => [a] -> a sum1 = foldl1 (+)+++{- |+Sum the operands in an order,+such that the dependencies are minimized.+Does this have a measurably effect on speed?++Requires associativity.+-}+sumNestedAssociative :: (C a) => [a] -> a+sumNestedAssociative [] = zero+sumNestedAssociative [x] = x+sumNestedAssociative xs = sumNestedAssociative (sum2 xs)++{-+Make sure that the last entries in the list+are equally often part of an addition.+Maybe this can reduce rounding errors.+The list that sum2 computes is a breadth-first-flattened binary tree.++Requires associativity and commutativity.+-}+sumNestedCommutative :: (C a) => [a] -> a+sumNestedCommutative [] = zero+sumNestedCommutative xs@(_:rs) =+ let ys = xs ++ Match.take rs (sum2 ys)+ in last ys++_sumNestedCommutative :: (C a) => [a] -> a+_sumNestedCommutative [] = zero+_sumNestedCommutative xs@(_:rs) =+ let ys = xs ++ take (length rs) (sum2 ys)+ in last ys++{-+[a,b,c, a+b,c+(a+b)]+[a,b,c,d, a+b,c+d,(a+b)+(c+d)]+[a,b,c,d,e, a+b,c+d,e+(a+b),(c+d)+e+(a+b)]+[a,b,c,d,e,f, a+b,c+d,e+f,(a+b)+(c+d),(e+f)+((a+b)+(c+d))]+-}++sum2 :: (C a) => [a] -> [a]+sum2 (x:y:rest) = (x+y) : sum2 rest+sum2 xs = xs
src/Algebra/Algebraic.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Algebraic where import qualified Algebra.Field as Field
src/Algebra/Differential.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Differential where import qualified Algebra.Ring as Ring
src/Algebra/DivisibleSpace.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Algebra.DivisibleSpace where
src/Algebra/Field.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Field ( {- * Class -} C,
src/Algebra/IntegralDomain.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.IntegralDomain ( {- * Class -} C,@@ -321,7 +321,7 @@ propMultipleDiv m a = not (isZero m) ==> (a*m) `div` m == a propMultipleMod m a =- not (isZero m) ==> (a*m) `mod` m == zero+ not (isZero m) ==> (a*m) `mod` m == 0 propProjectAddition m a b = not (isZero m) ==> (a+b) `mod` m == ((a`mod`m)+(b`mod`m)) `mod` m
src/Algebra/Lattice.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Lattice ( C(up, dn) , max, min, abs
src/Algebra/Module.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |
src/Algebra/ModuleBasis.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |
src/Algebra/NormedSpace/Euclidean.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-}
src/Algebra/NormedSpace/Maximum.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-}
src/Algebra/NormedSpace/Sum.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-}
src/Algebra/OccasionallyScalar.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-}
src/Algebra/PrincipalIdealDomain.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.PrincipalIdealDomain ( {- * Class -} C,
src/Algebra/RealField.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.RealField ( C, ) where
src/Algebra/RealIntegral.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Generally before using 'quot' and 'rem', think twice. In most cases 'divMod' and friends are the right choice,@@ -16,6 +16,7 @@ C(quot, rem, quotRem), ) where +import qualified Algebra.ZeroTestable as ZeroTestable import qualified Algebra.IntegralDomain as Integral import qualified Algebra.Absolute as Absolute -- import qualified Algebra.Ring as Ring@@ -46,7 +47,7 @@ Minimal definition: nothing required -} -class (Absolute.C a, Ord a, Integral.C a) => C a where+class (Absolute.C a, ZeroTestable.C a, Ord a, Integral.C a) => C a where quot, rem :: a -> a -> a quotRem :: a -> a -> (a,a)
src/Algebra/RealRing.hs view
@@ -1,12 +1,14 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.RealRing where -import qualified Algebra.Field as Field+import qualified Algebra.RealRing98 as RealRing98+ import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Absolute as Absolute+import qualified Algebra.Field as Field import qualified Algebra.Ring as Ring import qualified Algebra.ToRational as ToRational import qualified Algebra.ToInteger as ToInteger+import qualified Algebra.Absolute as Absolute import qualified Algebra.OrderDecision as OrdDec import Algebra.OrderDecision ((<?), (>=?), )@@ -203,7 +205,7 @@ {-# INLINE round #-} {-# INLINE truncate #-} splitFraction = fastSplitFraction GHC.float2Int GHC.int2Float- fraction = fastFraction (GHC.int2Float . GHC.float2Int)+ fraction = RealRing98.fastFraction (GHC.int2Float . GHC.float2Int) floor = fromInteger . P.floor ceiling = fromInteger . P.ceiling round = fromInteger . P.round@@ -217,7 +219,7 @@ {-# INLINE round #-} {-# INLINE truncate #-} splitFraction = fastSplitFraction GHC.double2Int GHC.int2Double- fraction = fastFraction (GHC.int2Double . GHC.double2Int)+ fraction = RealRing98.fastFraction (GHC.int2Double . GHC.double2Int) floor = fromInteger . P.floor ceiling = fromInteger . P.ceiling round = fromInteger . P.round@@ -240,21 +242,6 @@ if f>=0 then (n, f) else (n-1, f+1)--{-# INLINE fastFraction #-}-fastFraction :: (P.RealFrac a, Absolute.C a) => (a -> a) -> a -> a-fastFraction trunc x =- fixFraction $- if fromIntegral (minBound :: Int) <= x && x <= fromIntegral (maxBound :: Int)- then x - trunc x- else preludeFraction x--{-# INLINE preludeFraction #-}-preludeFraction :: (P.RealFrac a, Ring.C a) => a -> a-preludeFraction x =- let second :: (Integer, a) -> a- second = snd- in second (P.properFraction x) {-# INLINE fixFraction #-} fixFraction :: (Ring.C a, Ord a) => a -> a
+ src/Algebra/RealRing98.hs view
@@ -0,0 +1,39 @@+module Algebra.RealRing98 where++{-# INLINE fastSplitFraction #-}+fastSplitFraction :: (RealFrac a, Integral b) =>+ (a -> Int) -> (Int -> a) -> a -> (b,a)+fastSplitFraction trunc toFloat x =+ fixSplitFraction $+ if toFloat minBound <= x && x <= toFloat maxBound+ then case trunc x of n -> (fromIntegral n, x - toFloat n)+ else case properFraction x of (n,f) -> (fromInteger n, f)++{-# INLINE fixSplitFraction #-}+fixSplitFraction :: (Num a, Num b, Ord a) => (b,a) -> (b,a)+fixSplitFraction (n,f) =+ -- if x>=0 || f==0+ if f>=0+ then (n, f)+ else (n-1, f+1)+++{-# INLINE fastFraction #-}+fastFraction :: (RealFrac a) => (a -> a) -> a -> a+fastFraction trunc x =+ fixFraction $+ if fromIntegral (minBound :: Int) <= x && x <= fromIntegral (maxBound :: Int)+ then x - trunc x+ else signedFraction x++{-# INLINE signedFraction #-}+signedFraction :: (RealFrac a) => a -> a+signedFraction x =+ let second :: (Integer, a) -> a+ second = snd+ in second (properFraction x)++{-# INLINE fixFraction #-}+fixFraction :: (Real a) => a -> a+fixFraction y =+ if y>=0 then y else y+1
src/Algebra/RealTranscendental.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.RealTranscendental where import qualified Algebra.Transcendental as Trans
src/Algebra/RightModule.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Algebra.RightModule where
src/Algebra/Ring.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Ring ( {- * Class -} C,
src/Algebra/ToInteger.hs view
@@ -40,10 +40,10 @@ Conversions must be lossless, that is, they do not round in any way. For rounding see "Algebra.RealRing".-With the instances for 'Prelude.Float' and 'Prelude.Double'-we acknowledge that these types actually represent rationals-rather than (approximated) real numbers.-However, this contradicts to the 'Algebra.Transcendental.C' instance.++I think that the RealIntegral superclass is too restrictive.+Non-negative numbers are not a ring,+but can be easily converted to Integers. -} class (ToRational.C a, RealIntegral.C a) => C a where toInteger :: a -> Integer
src/Algebra/ToRational.hs view
@@ -1,6 +1,7 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.ToRational where +import qualified Algebra.ZeroTestable as ZeroTestable import qualified Algebra.Field as Field import qualified Algebra.Absolute as Absolute import Algebra.Field (fromRational, )@@ -29,7 +30,7 @@ > fromRational' . toRational === id -}-class (Absolute.C a) => C a where+class (Absolute.C a, ZeroTestable.C a, Ord a) => C a where -- | Lossless conversion from any representation of a rational to 'Rational' toRational :: a -> Rational
src/Algebra/Transcendental.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Transcendental where import qualified Algebra.Algebraic as Algebraic
src/Algebra/Units.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.Units ( {- * Class -} C,
src/Algebra/Vector.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2004-2005
src/Algebra/VectorSpace.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Algebra.VectorSpace where
src/Algebra/ZeroTestable.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Algebra.ZeroTestable where import qualified Algebra.Additive as Additive
src/MathObj/Algebra.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Mikael Johansson 2006 Maintainer : mik@math.uni-jena.de
src/MathObj/DiscreteMap.hs view
@@ -1,5 +1,5 @@ {-# OPTIONS_GHC -fno-warn-orphans #-}-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-}
src/MathObj/Gaussian/Bell.hs view
@@ -1,7 +1,11 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {--Complex translated Gaussian bell curve-with amplitude abstracted away.+Complex translated and modulated Gaussian bell curve.++It could be extended to chirps+using a complex valued quadratic term with (real c >= 0).+This allows for a new test:+Express the Fourier transform in terms of a convolution with a chirp. -} module MathObj.Gaussian.Bell where @@ -66,6 +70,12 @@ exponentPolynomial f = Poly.fromCoeffs [c0 f, c1 f, Complex.fromReal (c2 f)] ++{-+norm functions depend on interpretation+and would have to return both a rational and transcendental part+expressed as @exp a@.+-} variance :: (Trans.C a) => T a -> a
src/MathObj/Gaussian/Example.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- Reciprocal of variance of a Gaussian bell curve. We describe the curve only in terms of its variance@@ -29,6 +29,7 @@ -- import qualified Algebra.Additive as Additive import qualified Number.Complex as Complex+import qualified Number.Root as Root import Algebra.Transcendental (pi, ) import Algebra.Algebraic (root, )@@ -68,20 +69,23 @@ (Integ.rectangular 1000 (-2,2) $ liftA2 (*) (^2) (Var.evaluate curve0)) / (Integ.rectangular 1000 (-2,2) $ Var.evaluate curve0)) -norm10 :: (Double, Double)+norm10 :: (Double, Double, Double) norm10 = (Integ.rectangular 1000 (-2,2) $ Var.evaluate curve0,- Var.norm1 curve0)+ Var.norm1 curve0,+ Root.toNumber (Var.norm1Root curve0)) -norm20 :: (Double, Double)+norm20 :: (Double, Double, Double) norm20 = (sqrt $ Integ.rectangular 1000 (-2,2) $ (^2) . Var.evaluate curve0,- Var.norm2 curve0)+ Var.norm2 curve0,+ Root.toNumber (Var.norm2Root curve0)) -norm30 :: (Double, Double)+norm30 :: (Double, Double, Double) norm30 = (root 3 $ Integ.rectangular 1000 (-2,2) $ (^3) . Var.evaluate curve0,- Var.normP 3 curve0)+ Var.normP 3 curve0,+ Root.toNumber (Var.normPRoot 3 curve0)) fourier0 :: IO () fourier0 =
src/MathObj/Gaussian/Polynomial.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- Complex Gaussian bell multiplied with a polynomial. @@ -16,7 +16,15 @@ * sum of multiple bells using Data.Map from exponent polynomial to coefficient polynomial use of Algebra object. -* Projective geometry in order to support Dirac impulse.+* Discrete Fourier Transform and its eigenvectors++* Use projective geometry in order to support Dirac impulse.+ There are many open questions:+ 1. What shall be the product of two Dirac impulses -+ whether they are at the same location or not.+ 2. How to organize coefficients+ such that the constant function can be modulated+ and the Dirac impulse can be translated. -} module MathObj.Gaussian.Polynomial where @@ -31,7 +39,7 @@ import qualified Algebra.Differential as Differential import qualified Algebra.Transcendental as Trans import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute+import qualified Algebra.Absolute as Absolute import qualified Algebra.Ring as Ring import qualified Algebra.Additive as Additive @@ -53,7 +61,7 @@ data T a = Cons {bell :: Bell.T a, polynomial :: Poly.T (Complex.T a)} deriving (Show) -instance (Absolute.C a, Eq a) => Eq (T a) where+instance (Absolute.C a, ZeroTestable.C a, Eq a) => Eq (T a) where (==) = equal @@ -69,7 +77,7 @@ -} data RootProduct a = RootProduct a a -instance (Absolute.C a, Eq a) => Eq (RootProduct a) where+instance (Absolute.C a, ZeroTestable.C a, Eq a) => Eq (RootProduct a) where (RootProduct xr xa) == (RootProduct yr ya) = let xp = xr*xa^2 yp = yr*ya^2@@ -85,7 +93,7 @@ We have to combine the amplitude of the bell with the polynomial, respecting signs and the square root of the bell amplitude. -}-equal :: (Absolute.C a, Eq a) => T a -> T a -> Bool+equal :: (Absolute.C a, ZeroTestable.C a, Eq a) => T a -> T a -> Bool equal x y = let bx = bell x by = bell y@@ -104,7 +112,7 @@ scaleSqr bx x == scaleSqr by y -instance (Absolute.C a, Arbitrary a) => Arbitrary (T a) where+instance (Absolute.C a, ZeroTestable.C a, Arbitrary a) => Arbitrary (T a) where arbitrary = -- liftM2 Cons arbitrary arbitrary liftM2 Cons@@ -138,6 +146,9 @@ f{polynomial = fmap (x*) $ polynomial f} +unit :: (Ring.C a) => T a+unit = eigenfunction0+ eigenfunction :: (Field.C a) => Int -> T a eigenfunction = eigenfunctionDifferential@@ -165,7 +176,8 @@ nest n (scale (-1/4) . differentiate) $ Cons (Bell.Cons one zero zero 2) one -eigenfunctionIterative :: (Field.C a, Absolute.C a, Eq a) => Int -> T a+eigenfunctionIterative ::+ (Field.C a, Absolute.C a, ZeroTestable.C a, Eq a) => Int -> T a eigenfunctionIterative n = fst . head . dropWhile (uncurry (/=)) . mapAdjacent (,) $ eigenfunctionIteration $@@ -224,6 +236,10 @@ fourier (Cons bell (Poly.const a + Poly.shift f)) = fourier (Cons bell (Poly.const a)) + fourier (Cons bell (Poly.shift f)) = fourier (Cons bell (Poly.const a)) + differentiate (fourier (Cons bell f))++We can certainly speed this up considerably+by decomposing the polynomial into four polynomials,+one for each of the four eigenvalues 1, i, -1, -i. -} fourier :: (Field.C a) => T a -> T a@@ -290,6 +306,35 @@ zipWith (*) xs (drop 1 (iterate (subtract 1) (fromIntegral $ length xs))) +{-+integrateDefinite+ (maybe rename integrate to antiderivative and call this one integrate)++int(x^(2*n)*exp(-x^2),x=-infinity..infinity)+ = 2 * int(x^(2*n)*exp(-x^2),x=0..infinity)+ substitute t=x^2, dt = dx * 2 * sqrt t+ = int(t^(n-1/2)*exp(-t),x=0..infinity)+ = Gamma(n+1/2)+ = (2n-1)!!/2^n * sqrt pi++int(pi^n*x^(2*n)*exp(-pi*x^2),x=-infinity..infinity)+ = (2n-1)!!/2^n+++The remainder value of 'integrate'+is the coefficient of the error function+and this is the only part that does not vanish when approaching the limit.+++In order to stay in a field,+we have to return a rational number+and a transcendental part written es @exp a@.++It would be interesting to see how integral inequalities+translate to scalar inequalities containing exponential functions.+-}++ translate :: Ring.C a => a -> T a -> T a translate d = translateComplex (Complex.fromReal d)@@ -353,24 +398,24 @@ approximateByBells :: Field.C a => a -> T a -> [(Complex.T a, Bell.T a)]-approximateByBells unit f =+approximateByBells unit_ f = let b = bell f amps = -- approximateByBellsByTranslation approximateByBellsAtOnce- unit+ unit_ (Complex.scale (recip (2 * Bell.c2 b)) (Bell.c1 b))- (recip (2*unit*Bell.c2 b))+ (recip (2*unit_*Bell.c2 b)) (polynomial f) in zip (LPoly.coeffs amps) $ map (\d -> Bell.translate d b)- (laurentAbscissas (unit/2) amps)+ (laurentAbscissas (unit_/2) amps) approximateByBellsAtOnce :: Field.C a => a -> Complex.T a -> a -> Poly.T (Complex.T a) -> LPoly.T (Complex.T a)-approximateByBellsAtOnce unit d s p =+approximateByBellsAtOnce unit_ d s p = foldr (\x amps0 -> {-@@ -378,13 +423,13 @@ -} let y = fmap (Complex.scale s) amps0 in -- \t -> bell t * t- -- ~ (translate unit bell - translate (-unit) bell) / unit+ -- ~ (translate unit_ bell - translate (-unit_) bell) / unit_ LPoly.shift 1 y - LPoly.shift (-1) y + -- bell t * d zipWithAbscissas (\t z -> (Complex.fromReal t - d) * z)- (unit/2) amps0 ++ (unit_/2) amps0 + LPoly.const x) (LPoly.fromCoeffs []) (Poly.coeffs p)@@ -392,7 +437,7 @@ approximateByBellsByTranslation :: Field.C a => a -> Complex.T a -> a -> Poly.T (Complex.T a) -> LPoly.T (Complex.T a)-approximateByBellsByTranslation unit d s p =+approximateByBellsByTranslation unit_ d s p = foldr (\x amps0 -> {-@@ -400,11 +445,11 @@ -} let y = fmap (Complex.scale s) amps0 in -- \t -> bell t * t- -- ~ (translate unit bell - translate (-unit) bell) / unit+ -- ~ (translate unit_ bell - translate (-unit_) bell) / unit_ LPoly.shift 1 y - LPoly.shift (-1) y + -- bell t * d- zipWithAbscissas Complex.scale (unit/2) amps0 ++ zipWithAbscissas Complex.scale (unit_/2) amps0 + LPoly.const x) (LPoly.fromCoeffs []) (Poly.coeffs $ Poly.translate d p)@@ -412,15 +457,15 @@ zipWithAbscissas :: (Ring.C a) => (a -> b -> c) -> a -> LPoly.T b -> LPoly.T c-zipWithAbscissas h unit y =+zipWithAbscissas h unit_ y = LPoly.fromShiftCoeffs (LPoly.expon y) $ zipWith h- (laurentAbscissas unit y)+ (laurentAbscissas unit_ y) (LPoly.coeffs y) laurentAbscissas :: Ring.C a => a -> LPoly.T c -> [a]-laurentAbscissas unit =- map (\d -> fromIntegral d * unit) .+laurentAbscissas unit_ =+ map (\d -> fromIntegral d * unit_) . iterate (1+) . LPoly.expon
src/MathObj/Gaussian/Variance.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- We represent a Gaussian bell curve in terms of the reciprocal of its variance and its value at the origin.@@ -6,6 +6,11 @@ We could do some projective geometry in the exponent in order to also have zero variance, which corresponds to the dirac impulse.++The Gaussians form a nice multiplicative commutative monoid.+Maybe we should have such a structure.+It would also be useful for the Root data type+and a new Exponential data type. -} module MathObj.Gaussian.Variance where @@ -48,6 +53,12 @@ constant :: Ring.C a => T a constant = Cons one zero +{- |+eigenfunction of 'fourier'+-}+unit :: Ring.C a => T a+unit = Cons one one+ {-# INLINE evaluate #-} evaluate :: (Trans.C a) => T a -> a -> a@@ -90,6 +101,7 @@ Root.rationalPower (recip (2*p)) (Root.fromNumber (fromRational' p * c f)) +-- ToDo: implement NormedSpace.Sum et.al. norm1 :: (Algebraic.C a) => T a -> a norm1 f = sqrt $ amp f / c f
src/MathObj/LaurentPolynomial.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |@@ -26,9 +26,7 @@ import qualified Number.Complex as Complex -import Algebra.Module((*>))--import qualified NumericPrelude.Base as P+-- import qualified NumericPrelude.Base as P import qualified NumericPrelude.Numeric as NP import NumericPrelude.Base hiding (const, reverse, )
src/MathObj/Matrix.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |
src/MathObj/Monoid.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module MathObj.Monoid where import qualified Algebra.PrincipalIdealDomain as PID
src/MathObj/PartialFraction.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2007 Maintainer : numericprelude@henning-thielemann.de
src/MathObj/Permutation.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2006 Maintainer : numericprelude@henning-thielemann.de
src/MathObj/Permutation/CycleList.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Mikael Johansson 2006 Maintainer : mik@math.uni-jena.de
src/MathObj/Permutation/CycleList/Check.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2006 Maintainer : numericprelude@henning-thielemann.de
src/MathObj/Permutation/Table.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2006 Maintainer : numericprelude@henning-thielemann.de
src/MathObj/Polynomial.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} @@ -67,9 +67,6 @@ import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable import qualified Algebra.Indexable as Indexable--import Algebra.Module((*>))-import Algebra.ZeroTestable(isZero) import Control.Monad (liftM, ) import qualified Data.List as List
src/MathObj/Polynomial/Core.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | This module implements polynomial functions on plain lists. We use such functions in order to implement methods of other datatypes.
src/MathObj/PowerSeries.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} @@ -22,8 +22,6 @@ import qualified Algebra.Ring as Ring import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Module((*>)) import NumericPrelude.Base hiding (const) import NumericPrelude.Numeric
src/MathObj/PowerSeries/Core.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module MathObj.PowerSeries.Core where import qualified MathObj.Polynomial.Core as Poly
src/MathObj/PowerSeries/DifferentialEquation.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Lazy evaluation allows for the solution of differential equations in terms of power series.
src/MathObj/PowerSeries/Example.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module MathObj.PowerSeries.Example where import qualified MathObj.PowerSeries.Core as PS
src/MathObj/PowerSeries/Mean.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | This module computes power series for representing some means as generalized $f$-means.
src/MathObj/PowerSeries2.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} @@ -19,8 +19,10 @@ import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable +{- import qualified NumericPrelude.Numeric as NP import qualified NumericPrelude.Base as P+-} import Data.List (isPrefixOf, ) import qualified Data.List.Match as Match
src/MathObj/PowerSeries2/Core.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module MathObj.PowerSeries2.Core where import qualified MathObj.PowerSeries as PS
src/MathObj/PowerSum.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |@@ -28,8 +28,6 @@ import qualified Algebra.Ring as Ring import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Module((*>)) import Control.Monad(liftM2) import qualified Data.List as List
src/MathObj/RefinementMask2.hs view
@@ -1,13 +1,16 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module MathObj.RefinementMask2 ( T, coeffs, fromCoeffs, fromPolynomial, toPolynomial, toPolynomialFast, refinePolynomial,+ convolvePolynomial,+ convolveTruncatedPowerPolynomials, ) where import qualified MathObj.Polynomial as Poly+import qualified MathObj.Polynomial.Core as PolyCore import qualified Algebra.RealField as RealField import qualified Algebra.Field as Field import qualified Algebra.Ring as Ring@@ -16,6 +19,7 @@ import qualified Data.List as List import qualified Data.List.HT as ListHT import qualified Data.List.Match as Match+import Data.Maybe (fromMaybe, ) import Control.Monad (liftM2, ) import qualified Test.QuickCheck as QC@@ -169,3 +173,54 @@ ... Polynomial.fromCoeffs [-0.11640685714285712,0.4351999999999999,-0.7199999999999999,1.0] -}++convolve ::+ (Ring.C a) => T a -> T a -> T a+convolve x y =+ fromCoeffs $+ PolyCore.mul (coeffs x) (coeffs y)++{- |+Convolve polynomials via refinement mask.++(mask x + ux*(-1,1)^degree x) * (mask y + uy*(-1,1)^degree y)+-}+convolvePolynomial ::+ (RealField.C a) =>+ Poly.T a -> Poly.T a -> Poly.T a+convolvePolynomial x y =+ fromMaybe+ (error "RefinementMask2.convolvePolynomial: leading term should always be correct") $+ toPolynomial $ fmap (/2) $+ convolve (fromPolynomial x) (fromPolynomial y)++{-+This function interprets all monomials as truncated power functions,+that is power functions that are set to zero for negative arguments.+However the convolution implied by this interpretation+cannot be represented by means of mask convolution.+See for instance:++*MathObj.RefinementMask2> let x = Poly.fromCoeffs [1,1] :: Poly.T Rational+*MathObj.RefinementMask2> fromPolynomial $ convolvePolynomial2 x x+RefinementMask2.fromCoeffs [1 % 3,-1 % 8,-1 % 8,1 % 24]++The obtained mask cannot be factored,+thus it is not a complete square.+But maybe it becomes a square if we add u*(-1,1)^4.+However this mask has sum 1/8 and the added term has sum 0,+thus the sum of the modified mask is still 1/8 and thus not a square.+-}+convolveTruncatedPowerPolynomials ::+ (RealField.C a) =>+ Poly.T a -> Poly.T a -> Poly.T a+convolveTruncatedPowerPolynomials x y =+ let facs = scanl (*) 1 $ iterate (1+) 1+ xl = Poly.coeffs x+ yl = Poly.coeffs y+ in Poly.integrate 0 $+ Poly.fromCoeffs $+ zipWith (flip (/)) facs $+ PolyCore.mul+ (zipWith (*) facs xl)+ (zipWith (*) facs yl)
src/MathObj/RootSet.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2004-2005 @@ -26,8 +26,11 @@ import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable +import qualified Algebra.RealRing as RealRing+ import qualified Data.List.Match as Match-import Control.Monad (liftM2)+import qualified Data.List.Key as Key+import Control.Monad (liftM2, replicateM, ) import NumericPrelude.Base as P hiding (const) import NumericPrelude.Numeric as NP@@ -169,3 +172,32 @@ instance (Field.C a, ZeroTestable.C a) => Algebraic.C (T a) where root n = lift1 (PowerSum.root n)++++{- |+Given an approximation of a root,+the degree of the polynomial and maximum value of coefficients,+find candidates of polynomials that have approximately this root+and show the actual value of the polynomial at the given root approximation.++This algorithm runs easily into a stack overflow, I do not know why.+We may also employ a more sophisticated integer relation algorithm,+like PSLQ and friends.+-}+{-# SPECIALISE approxPolynomial ::+ Int -> Integer -> Double -> (Double, Poly.T Double) #-}+{-# SPECIALISE approxPolynomial ::+ Int -> Integer -> Float -> (Float, Poly.T Float) #-}+approxPolynomial ::+ (RealRing.C a) =>+ Int -> Integer -> a -> (a, Poly.T a)+approxPolynomial d maxCoeff x =+ let powers = take (d+1) $ iterate (x*) one+ in -- List.minimumBy (\a b -> compare (abs (fst a)) (abs (fst b))) $+ Key.minimum (abs . fst) $+ map+ ((\cs -> (sum $ zipWith (*) powers cs, Poly.fromCoeffs cs)) . reverse)+ (liftM2 (:)+ (map fromInteger [1 .. maxCoeff])+ (replicateM d $ map fromInteger [-maxCoeff .. maxCoeff]))
+ src/MathObj/Wrapper/Haskell98.hs view
@@ -0,0 +1,163 @@+{-# LANGUAGE GeneralizedNewtypeDeriving #-}+{- |+A wrapper that provides instances of Haskell 98 and NumericPrelude+numeric type classes+for types that have Haskell 98 instances.+-}+module MathObj.Wrapper.Haskell98 where++import qualified Algebra.Absolute as Absolute+import qualified Algebra.Additive as Additive+import qualified Algebra.Algebraic as Algebraic+import qualified Algebra.Field as Field+import qualified Algebra.IntegralDomain as Integral+import qualified Algebra.PrincipalIdealDomain as PID+import qualified Algebra.RealField as RealField+import qualified Algebra.RealIntegral as RealIntegral+import qualified Algebra.RealRing as RealRing+import qualified Algebra.RealTranscendental as RealTrans+import qualified Algebra.Ring as Ring+import qualified Algebra.ToInteger as ToInteger+import qualified Algebra.ToRational as ToRational+import qualified Algebra.Transcendental as Trans+import qualified Algebra.Units as Units+import qualified Algebra.ZeroTestable as ZeroTestable++import qualified Number.Ratio as Ratio++import qualified Algebra.RealRing98 as RealRing98++import Data.Ix (Ix, )++import Data.Tuple.HT (mapPair, )+++{- |+This makes a type usable in the NumericPrelude framework+that was initially implemented for Haskell98 typeclasses.+E.g. if @a@ is in class 'Num',+then @T a@ is both in class 'Num' and in 'Ring.C'.++You can even lift container types.+If @Polynomial a@ is in 'Num' for all types @a@ that are in 'Num',+then @T (Polynomial (MathObj.Wrapper.NumericPrelude.T a))@+is in 'Ring.C' for all types @a@ that are in 'Ring.C'.+-}+newtype T a = Cons a+ deriving+ (Show, Eq, Ord, Ix, Bounded, Enum,+ Num, Integral, Fractional, Floating,+ Real, RealFrac, RealFloat)+++{-# INLINE lift1 #-}+lift1 :: (a -> b) -> T a -> T b+lift1 f (Cons a) = Cons (f a)++{-# INLINE lift2 #-}+lift2 :: (a -> b -> c) -> T a -> T b -> T c+lift2 f (Cons a) (Cons b) = Cons (f a b)+++instance Functor T where+ {-# INLINE fmap #-}+ fmap f (Cons a) = Cons (f a)+++instance Num a => Additive.C (T a) where+ zero = 0+ (+) = lift2 (+)+ (-) = lift2 (-)+ negate = lift1 negate++instance (Num a) => Ring.C (T a) where+ fromInteger = Cons . fromInteger+ (*) = lift2 (*)+ (^) a n = lift1 (^n) a++instance (Fractional a) => Field.C (T a) where+ fromRational' r = Cons (fromRational (Ratio.toRational98 r))+ (/) = lift2 (/)+ recip = lift1 recip+ (^-) a n = lift1 (^^n) a++instance (Floating a) => Algebraic.C (T a) where+ sqrt = lift1 sqrt+ (^/) a r = lift1 (** fromRational (Ratio.toRational98 r)) a+ root n a = lift1 (** recip (fromInteger n)) a++instance (Floating a) => Trans.C (T a) where+ pi = Cons pi+ log = lift1 log+ exp = lift1 exp+ logBase = lift2 logBase+ (**) = lift2 (**)+ cos = lift1 cos+ tan = lift1 tan+ sin = lift1 sin+ acos = lift1 acos+ atan = lift1 atan+ asin = lift1 asin+ cosh = lift1 cosh+ tanh = lift1 tanh+ sinh = lift1 sinh+ acosh = lift1 acosh+ atanh = lift1 atanh+ asinh = lift1 asinh++instance (Integral a) => Integral.C (T a) where+ div = lift2 div+ mod = lift2 mod+ divMod (Cons a) (Cons b) =+ mapPair (Cons, Cons) (divMod a b)++instance (Integral a) => Units.C (T a) where+ isUnit = unimplemented "isUnit"+ stdAssociate = unimplemented "stdAssociate"+ stdUnit = unimplemented "stdUnit"+ stdUnitInv = unimplemented "stdUnitInv"++instance (Integral a) => PID.C (T a) where+ gcd = gcd+ lcm = lcm++instance (Num a) => ZeroTestable.C (T a) where+ isZero (Cons a) = a==0++instance (Num a) => Absolute.C (T a) where+ abs = abs+ signum = signum++instance (RealFrac a) => RealRing.C (T a) where+ splitFraction (Cons a) =+ mapPair (Ring.fromInteger, Cons)+ (RealRing98.fixSplitFraction (properFraction a))+ fraction (Cons a) =+ Cons (RealRing98.fixFraction (RealRing98.signedFraction a))+ ceiling (Cons a) = Ring.fromInteger (ceiling a)+ floor (Cons a) = Ring.fromInteger (floor a)+ truncate (Cons a) = Ring.fromInteger (truncate a)+ round (Cons a) = Ring.fromInteger (round a)++instance (RealFrac a) => RealField.C (T a) where++instance (RealFloat a) => RealTrans.C (T a) where+ atan2 = atan2++instance (Integral a) => RealIntegral.C (T a) where+ quot = lift2 quot+ rem = lift2 rem+ quotRem (Cons a) (Cons b) =+ mapPair (Cons, Cons) (quotRem a b)++instance (Integral a) => ToInteger.C (T a) where+ toInteger (Cons a) = toInteger a++instance (Real a) => ToRational.C (T a) where+ toRational (Cons a) = Field.fromRational (toRational a)++++unimplemented :: String -> a+unimplemented name =+ error (name ++ "cannot be implemented in terms of Haskell98 type classes")
+ src/MathObj/Wrapper/NumericPrelude.hs view
@@ -0,0 +1,220 @@+{-# LANGUAGE GeneralizedNewtypeDeriving #-}+{-# LANGUAGE MultiParamTypeClasses #-}+{- |+A wrapper that provides instances of Haskell 98 and NumericPrelude+numeric type classes+for types that have NumericPrelude instances.+-}+module MathObj.Wrapper.NumericPrelude where++import qualified Algebra.Absolute as Absolute+import qualified Algebra.Additive as Additive+import qualified Algebra.Algebraic as Algebraic+import qualified Algebra.Field as Field+import qualified Algebra.IntegralDomain as Integral+import qualified Algebra.PrincipalIdealDomain as PID+import qualified Algebra.RealField as RealField+import qualified Algebra.RealIntegral as RealIntegral+import qualified Algebra.RealRing as RealRing+import qualified Algebra.RealTranscendental as RealTrans+import qualified Algebra.Ring as Ring+import qualified Algebra.ToInteger as ToInteger+import qualified Algebra.ToRational as ToRational+import qualified Algebra.Transcendental as Trans+import qualified Algebra.Units as Units+import qualified Algebra.ZeroTestable as ZeroTestable++import qualified Algebra.NormedSpace.Euclidean as NormEuc+import qualified Algebra.NormedSpace.Maximum as NormMax+import qualified Algebra.NormedSpace.Sum as NormSum+import qualified Algebra.OccasionallyScalar as OccScalar+import qualified Algebra.Differential as Differential+import qualified Algebra.DivisibleSpace as Divisible+import qualified Algebra.VectorSpace as VectorSpace+import qualified Algebra.Module as Module++import qualified Number.Ratio as Ratio++import Data.Ix (Ix, )++import Data.Tuple.HT (mapPair, )+++{- |+This makes a type usable with Haskell98 type classes+that was initially implemented for NumericPrelude typeclasses.+E.g. if @a@ is in class 'Ring.C',+then @T a@ is both in class 'Num' and in 'Ring.C'.++You can even lift container types.+If @Polynomial a@ is in 'Ring.C' for all types @a@ that are in 'Ring.C',+then @T (Polynomial (MathObj.Wrapper.Haskell98.T a))@+is in 'Num' for all types @a@ that are in 'Num'.+-}+newtype T a = Cons a+ deriving+ (Show, Eq, Ord, Ix, Bounded, Enum,+ Ring.C, Additive.C, Field.C, Algebraic.C, Trans.C,+ Integral.C, PID.C, Units.C,+ Absolute.C, ZeroTestable.C,+ RealField.C, RealIntegral.C, RealRing.C, RealTrans.C,+ ToInteger.C, ToRational.C,+ Differential.C)++{-# INLINE lift1 #-}+lift1 :: (a -> b) -> T a -> T b+lift1 f (Cons a) = Cons (f a)++{-# INLINE lift2 #-}+lift2 :: (a -> b -> c) -> T a -> T b -> T c+lift2 f (Cons a) (Cons b) = Cons (f a b)+++instance Functor T where+ {-# INLINE fmap #-}+ fmap f (Cons a) = Cons (f a)+++{-+instance Enum a => Enum (T a) where+ succ (Cons n) = Cons (succ n)+ pred (Cons n) = Cons (pred n)+ toEnum n = Cons (toEnum n)+ fromEnum (Cons n) = fromEnum n+ enumFrom (Cons n) =+ map Cons (enumFrom n)+ enumFromThen (Cons n) (Cons m) =+ map Cons (enumFromThen n m)+ enumFromTo (Cons n) (Cons m) =+ map Cons (enumFromTo n m)+ enumFromThenTo (Cons n) (Cons m) (Cons p) =+ map Cons (enumFromThenTo n m p)+-}++instance (Ring.C a, Absolute.C a, Eq a, Show a) => Num (T a) where+ (+) = lift2 (Additive.+)+ (-) = lift2 (Additive.-)+ negate = lift1 Additive.negate++ fromInteger = Cons . Ring.fromInteger+ (*) = lift2 (Ring.*)++ abs = lift1 Absolute.abs+ signum = lift1 Absolute.signum++instance (RealIntegral.C a, Absolute.C a, ToInteger.C a, Ord a, Enum a, Show a) => Integral (T a) where+ quot = lift2 RealIntegral.quot+ rem = lift2 RealIntegral.rem+ quotRem (Cons a) (Cons b) =+ mapPair (Cons, Cons) (RealIntegral.quotRem a b)+ div = lift2 Integral.div+ mod = lift2 Integral.mod+ divMod (Cons a) (Cons b) =+ mapPair (Cons, Cons) (Integral.divMod a b)+ toInteger (Cons a) = ToInteger.toInteger a++instance (Field.C a, Absolute.C a, Eq a, Show a) => Fractional (T a) where+ (/) = lift2 (Field./)+ recip = lift1 Field.recip+ fromRational = Cons . Field.fromRational++instance (Trans.C a, Absolute.C a, Eq a, Show a) => Floating (T a) where+ sqrt = lift1 Algebraic.sqrt+ pi = Cons Trans.pi+ log = lift1 Trans.log+ exp = lift1 Trans.exp+ logBase = lift2 Trans.logBase+ (**) = lift2 (Trans.**)+ cos = lift1 Trans.cos+ tan = lift1 Trans.tan+ sin = lift1 Trans.sin+ acos = lift1 Trans.acos+ atan = lift1 Trans.atan+ asin = lift1 Trans.asin+ cosh = lift1 Trans.cosh+ tanh = lift1 Trans.tanh+ sinh = lift1 Trans.sinh+ acosh = lift1 Trans.acosh+ atanh = lift1 Trans.atanh+ asinh = lift1 Trans.asinh++instance (ToRational.C a, Absolute.C a, Ord a, Show a) => Real (T a) where+ toRational (Cons a) =+ Ratio.toRational98 (ToRational.toRational a)++instance (Field.C a, RealRing.C a, ToRational.C a, Absolute.C a, Ord a, Show a) => RealFrac (T a) where+ properFraction (Cons a) =+ let b = RealRing.truncate a+ in (fromInteger b, Cons (a Additive.- Ring.fromInteger b))+ ceiling (Cons a) = fromInteger (RealRing.ceiling a)+ floor (Cons a) = fromInteger (RealRing.floor a)+ truncate (Cons a) = fromInteger (RealRing.truncate a)+ round (Cons a) = fromInteger (RealRing.round a)++instance (Trans.C a, RealRing.C a, ToRational.C a, Absolute.C a, Ord a, Show a) => RealFloat (T a) where+ atan2 = atan2+ floatRadix = unimplemented "floatRadix"+ floatDigits = unimplemented "floatDigits"+ floatRange = unimplemented "floatRange"+ decodeFloat = unimplemented "decodeFloat"+ encodeFloat = unimplemented "encodeFloat"+ exponent = unimplemented "exponent"+ significand = unimplemented "significand"+ scaleFloat = unimplemented "scaleFloat"+ isNaN = unimplemented "isNaN"+ isInfinite = unimplemented "isInfinite"+ isDenormalized = unimplemented "isDenormalized"+ isNegativeZero = unimplemented "isNegativeZero"+ isIEEE = unimplemented "isIEEE"++{-+instance Additive.C (T a) where+instance Ring.C (T a) where+instance Field.C (T a) where+instance Algebraic.C (T a) where+instance Trans.C (T a) where++instance Units.C (T a) where+instance Integral.C (T a) where+instance PID.C (T a) where++instance ZeroTestable.C (T a) where+instance Absolute.C (T a) where+instance (Ord a) => RealField.C (T a) where+instance (Ord a) => RealIntegral.C (T a) where+instance (Ord a) => RealRing.C (T a) where+instance (Ord a) => RealTrans.C (T a) where++instance (Ord a) => ToInteger.C (T a) where+instance (Ord a) => ToRational.C (T a) where+-}++instance Module.C a v => Module.C (T a) (T v) where+ (*>) = lift2 (Module.*>)++instance VectorSpace.C a v => VectorSpace.C (T a) (T v) where++instance Divisible.C a v => Divisible.C (T a) (T v) where+ (</>) = lift2 (Divisible.</>)++instance OccScalar.C a v => OccScalar.C (T a) (T v) where+ toScalar = lift1 OccScalar.toScalar+ toMaybeScalar (Cons a) = fmap Cons (OccScalar.toMaybeScalar a)+ fromScalar = lift1 OccScalar.fromScalar++instance NormEuc.Sqr a v => NormEuc.Sqr (T a) (T v) where+ normSqr = lift1 NormEuc.normSqr++instance NormEuc.C a v => NormEuc.C (T a) (T v) where+ norm = lift1 NormEuc.norm++instance NormMax.C a v => NormMax.C (T a) (T v) where+ norm = lift1 NormMax.norm++instance NormSum.C a v => NormSum.C (T a) (T v) where+ norm = lift1 NormSum.norm+++unimplemented :: String -> a+unimplemented name =+ error (name ++ "cannot be implemented in terms of NumericPrelude type classes")
src/Number/Complex.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- Rules should be processed -}@@ -71,9 +71,7 @@ import qualified Algebra.ZeroTestable as ZeroTestable import qualified Algebra.Indexable as Indexable -import Algebra.ZeroTestable(isZero)-import Algebra.Module((*>), (<*>.*>), )-import Algebra.Algebraic((^/), )+import Algebra.Module((<*>.*>), ) import qualified NumericPrelude.Elementwise as Elem import Algebra.Additive ((<*>.+), (<*>.-), (<*>.-$), )@@ -221,7 +219,7 @@ cis :: (Trans.C a) => a -> T a cis theta = Cons (cos theta) (sin theta) -propPolar :: (RealTrans.C a) => T a -> Bool+propPolar :: (RealTrans.C a, ZeroTestable.C a) => T a -> Bool propPolar z = uncurry fromPolar (toPolar z) == z @@ -277,7 +275,7 @@ the magnitude is nonnegative, and the phase in the range @(-'pi', 'pi']@; if the magnitude is zero, then so is the phase. -}-toPolar :: (RealTrans.C a) => T a -> (a,a)+toPolar :: (RealTrans.C a, ZeroTestable.C a) => T a -> (a,a) toPolar z = (magnitude z, phase z) @@ -320,7 +318,7 @@ {-# INLINE fromInteger #-} fromInteger = fromReal . fromInteger -instance (Absolute.C a, Algebraic.C a) => Absolute.C (T a) where+instance (Absolute.C a, Algebraic.C a, ZeroTestable.C a) => Absolute.C (T a) where {- SPECIALISE instance Absolute.C (T Float) -} {- SPECIALISE instance Absolute.C (T Double) -} {-# INLINE abs #-}@@ -478,7 +476,7 @@ {-# INLINE defltPow #-}-defltPow :: (RealTrans.C a) =>+defltPow :: (RealTrans.C a, ZeroTestable.C a) => Rational -> T a -> T a defltPow r x = let (mag,arg) = toPolar x@@ -510,7 +508,7 @@ (^/) = flip power -instance (RealRing.C a, RealTrans.C a, Power a) =>+instance (RealRing.C a, RealTrans.C a, ZeroTestable.C a, Power a) => Trans.C (T a) where {- SPECIALISE instance Trans.C (T Float) -} {- SPECIALISE instance Trans.C (T Double) -}
src/Number/ComplexSquareRoot.hs view
@@ -10,8 +10,6 @@ import qualified Number.Complex as Complex -import Algebra.ZeroTestable(isZero, )- import Test.QuickCheck (Arbitrary, arbitrary, ) import Control.Monad (liftM2, )
src/Number/DimensionTerm.hs view
@@ -20,7 +20,7 @@ import qualified Algebra.Module as Module import qualified Algebra.Algebraic as Algebraic import qualified Algebra.Field as Field-import qualified Algebra.Absolute as Absolute+import qualified Algebra.Absolute as Absolute import qualified Algebra.Ring as Ring import qualified Algebra.Additive as Additive @@ -31,6 +31,8 @@ import System.Random (Random, randomR, random) +import Control.DeepSeq (NFData(rnf), )+ import Data.Tuple.HT (mapFst, ) import NumericPrelude.Base import Prelude ()@@ -50,6 +52,9 @@ in showParen (p >= Dim.appPrec) (showString "DimensionNumber.fromNumberWithDimension " . showsPrec Dim.appPrec u . showString " " . showsPrec Dim.appPrec z)++instance NFData a => NFData (T u a) where+ rnf (Cons x) = rnf x fromNumber :: a -> Scalar a
src/Number/DimensionTerm/SI.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2003 License : GPL
src/Number/FixedPoint.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2006 @@ -123,6 +123,12 @@ {- Maybe we can speed up the algorithm by calling sqrt recursively on deflated arguments.++ToDo:+The algorithm just computes floor(sqrt(den*x)).+We might factor out the algorithm for (floor.sqrt)+and move it to a different module+together with Fermat factors and so on. -} sqrt :: Integer -> Integer -> Integer sqrt den x =
src/Number/FixedPoint/Check.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Number.FixedPoint.Check where import qualified Number.FixedPoint as FP
src/Number/GaloisField2p32m5.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {- | This number type is intended for tests of functions over fields,
src/Number/NonNegative.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# OPTIONS_GHC -fno-warn-orphans #-} {-@@ -176,7 +176,7 @@ abs = lift abs signum = lift signum -instance (RealRing.C a) => RealRing.C (T a) where+instance (ZeroTestable.C a, RealRing.C a) => RealRing.C (T a) where splitFraction = mapSnd fromNumberUnsafe . splitFraction . toNumber truncate = truncate . toNumber round = round . toNumber
src/Number/NonNegativeChunky.hs view
@@ -33,7 +33,6 @@ import qualified Algebra.IntegralDomain as Integral import qualified Algebra.RealIntegral as RealIntegral import qualified Algebra.ZeroTestable as ZeroTestable-import Algebra.ZeroTestable (isZero, ) import qualified Algebra.Monoid as Monoid import qualified Data.Monoid as Mn98
src/Number/OccasionallyScalarExpression.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |@@ -24,7 +24,6 @@ import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable -import Algebra.Algebraic (sqrt, (^/)) import qualified Algebra.OccasionallyScalar as OccScalar import Data.Maybe(fromMaybe)
src/Number/PartiallyTranscendental.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Define Transcendental functions on arbitrary fields. These functions are defined for only a few (in most cases only one) arguments,
src/Number/Peano.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2007 Maintainer : numericprelude@henning-thielemann.de@@ -33,8 +33,10 @@ import Data.Array(Ix(..)) import qualified Prelude as P98+{- import qualified NumericPrelude.Base as P import qualified NumericPrelude.Numeric as NP+-} import Data.List.HT (mapAdjacent, shearTranspose, ) import Data.Tuple.HT (mapFst, )
src/Number/Physical.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |@@ -29,8 +29,6 @@ import qualified Algebra.ZeroTestable as ZeroTestable import qualified Algebra.ToInteger as ToInteger--import Algebra.Algebraic (sqrt, (^/)) import qualified Number.Ratio as Ratio
src/Number/Physical/Read.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2004 License : GPL
src/Number/Physical/Show.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2004 License : GPL
src/Number/Physical/Unit.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2003-2006 License : GPL
src/Number/Physical/UnitDatabase.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2003 License : GPL
src/Number/Positional.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2006 License : GPL
src/Number/Positional/Check.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2006 License : GPL@@ -30,7 +30,7 @@ import qualified Algebra.EqualityDecision as EqDec import qualified Algebra.OrderDecision as OrdDec -import qualified NumericPrelude.Base as P+-- import qualified NumericPrelude.Base as P import qualified Prelude as P98 import NumericPrelude.Base as P
src/Number/Quaternion.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |@@ -46,8 +46,7 @@ import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable -import Algebra.ZeroTestable(isZero)-import Algebra.Module((*>), (<*>.*>), )+import Algebra.Module((<*>.*>), ) import qualified Number.Complex as Complex @@ -60,7 +59,7 @@ import Data.Array (Array, (!)) import qualified Data.Array as Array -import qualified Prelude as P+-- import qualified Prelude as P import NumericPrelude.Base import NumericPrelude.Numeric hiding (signum) import Text.Show.HT (showsInfixPrec, )
src/Number/Ratio.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Module : Number.Ratio Copyright : (c) Henning Thielemann, Dylan Thurston 2006
src/Number/ResidueClass.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Number.ResidueClass where import qualified Algebra.PrincipalIdealDomain as PID
src/Number/ResidueClass/Check.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Number.ResidueClass.Check where import qualified Number.ResidueClass as Res
src/Number/ResidueClass/Func.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Number.ResidueClass.Func where import qualified Number.ResidueClass as Res
src/Number/ResidueClass/Maybe.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Number.ResidueClass.Maybe where import qualified Number.ResidueClass as Res
src/Number/ResidueClass/Reader.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Number.ResidueClass.Reader where import qualified Number.ResidueClass as Res@@ -14,7 +14,7 @@ import Control.Monad (liftM2, liftM4) -- import Control.Monad.Reader (MonadReader) -import qualified Prelude as P+-- import qualified Prelude as P import qualified NumericPrelude.Numeric as NP
src/Number/Root.hs view
@@ -1,3 +1,8 @@+{-+ToDo:+having the root exponent as type-level number would be nice+there is a package for basic type-level number support+-} module Number.Root where import qualified Algebra.Algebraic as Algebraic
src/Number/SI.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} {- |@@ -37,8 +37,6 @@ import qualified Algebra.Ring as Ring import qualified Algebra.Additive as Additive import qualified Algebra.ZeroTestable as ZeroTestable--import Algebra.Algebraic (sqrt, (^/), ) import Data.Tuple.HT (mapFst, )
src/Number/SI/Unit.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Copyright : (c) Henning Thielemann 2003 License : GPL
src/NumericPrelude/List/Checked.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Some functions that are counterparts of functions from "Data.List" using NumericPrelude.Numeric type classes.
src/NumericPrelude/List/Generic.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {- | Functions that are counterparts of the @generic@ functions in "Data.List" using NumericPrelude.Numeric type classes.
src/NumericPrelude/Numeric.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module NumericPrelude.Numeric ( {- Additive -} (+), (-), negate, zero, subtract, sum, sum1, {- ZeroTestable -} isZero,
− test-ghc-6.12/Gaussian.hs
@@ -1,6 +0,0 @@-module Main where--import qualified MathObj.Gaussian.Example as Example--main :: IO ()-main = Example.polyApprox
− test-ghc-6.12/Test.hs
@@ -1,173 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Main where--import Number.Complex((+:), (-:), )-import qualified Number.Complex as Complex-import Number.Physical as Value-import Number.SI as SIValue -- units-import Number.SI.Unit as SIUnit -- unit prefixes- (pico, nano, micro, milli, centi, deci,- deca, hecto, kilo, mega, giga, tera, peta)-import Number.OccasionallyScalarExpression as Expr--import qualified Number.Positional.Check as Absolute-import qualified Number.FixedPoint.Check as FixedPoint-import qualified Number.ResidueClass.Func as ResidueClass-import qualified Number.Peano as Peano--import qualified MathObj.Polynomial as Polynomial-import qualified MathObj.LaurentPolynomial as LaurentPolynomial-import qualified MathObj.PowerSeries as PowerSeries-import qualified MathObj.PowerSeries.Example as PowerSeriesExample-import qualified MathObj.PartialFraction as PartialFraction--import qualified Algebra.PrincipalIdealDomain as PID-import qualified Algebra.Field as Field-import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Indexable as Indexable--import Data.List (genericTake, genericLength)--import NumericPrelude.Base-import NumericPrelude.Numeric---{- * Physical units -}---- some shorthands for common usage-type SIDouble = SIValue.T Double Double-type SIComplex = SIValue.T Double (Complex.T Double)--{- this advice seems not to be targeted to ghc's interactive mode-default (SIDouble)--}-----test :: [SIDouble]-test =- let lengthScales = map (\n->10^-n*meter) [-10..6]- areaScales = map (\n->10^-n*meter^2) [-10..6]- in lengthScales ++ map recip lengthScales ++- areaScales ++ map recip areaScales ++- map ((meter*gramm/second)^-) [-5..5] ++- take 16 (iterate (10*) (10e-10*meter/gramm)) ++- [1/meter^2, 1/meter, meter, meter^2,- second, hertz,- meter*second, second/meter, meter/second, 1/meter/second,- volt/meter,newton/meter,- gramm]--testComplex :: SIComplex-testComplex = (2 :: Double) *> (SIValue.fromScalarSingle (3+:4)*milli*second)--testMagnitude :: SIDouble-testMagnitude = SIValue.lift (Value.lift Complex.magnitude) testComplex--testExpr :: Expr.T Double SIDouble-testExpr = sin (5 / (3+1) * fromValue meter)--testPrefixes :: [SIDouble]-testPrefixes =- [pico, nano, micro, milli, centi, deci,- deca, hecto, kilo, mega, giga, tera, peta]---{- * Reals -}--testReal :: String-testReal = Absolute.defltShow (sqrt 2 + log 2 * pi)--testComplexReal :: Complex.T Absolute.T-testComplexReal = exp (0 +: pi) + exp (0 -: pi)--showReal :: Absolute.T -> String-showReal = Absolute.defltShow---{- * Fixed point numbers -}--testFixedPoint :: String-testFixedPoint = FixedPoint.defltShow (sqrt 2 + log 2 * pi)--showFixedPoint :: FixedPoint.T -> String-showFixedPoint = FixedPoint.defltShow---{- * Residue classes -}--testResidueClass :: Integer-testResidueClass = ResidueClass.concrete 7 (5*3/2)--polyResidueClass :: (ZeroTestable.C a, Field.C a) =>- [a] -> ResidueClass.T (Polynomial.T a)-polyResidueClass = ResidueClass.fromRepresentative . polynomial--{- That's strange:-The residue class implementation should constantly compute mod-and thus should be much faster.-I assume that this is an effect of missing sharing.-The functions which represent a residue class are shared,-but not their values.--*Main> mod (3^3000000) 2 :: Integer-1-(2.47 secs, 24541080 bytes)-*Main> ResidueClass.concrete 2 (3^3000000) :: Integer-1-(7.33 secs, 515047072 bytes)--}---{- * Polynomials and power series -}--polynomial :: [a] -> Polynomial.T a-polynomial = Polynomial.fromCoeffs--powerSeries :: [a] -> PowerSeries.T a-powerSeries = PowerSeries.fromCoeffs--laurentPolynomial :: Int -> [a] -> LaurentPolynomial.T a-laurentPolynomial = LaurentPolynomial.fromShiftCoeffs--tanSeries :: PowerSeries.T Rational-tanSeries = powerSeries PowerSeriesExample.tan---{- * Partial fractions -}--partialFraction :: (PID.C a, Indexable.C a) =>- [a] -> a -> PartialFraction.T a-partialFraction = PartialFraction.fromFactoredFraction--{- |-An example from wavelet theory: lifting coefficients of the CDF wavelet family.--}-cdfFraction :: PartialFraction.T (Polynomial.T Rational)-cdfFraction =- partialFraction- (map polynomial [[-4,1],[0,1],[4,1]])- (product (map polynomial [[-2,1],[2,1]]))--{- |-The same example with different notation,-that relies on numerical literals being used for polynomials.--}-cdfFractionNum :: PartialFraction.T (Polynomial.T Rational)-cdfFractionNum =- let x = polynomial [0,1]- in partialFraction [x-4,x,x+4] ((x-2)*(x+2))---{- * Peano numbers -}-testPeano :: Peano.T-testPeano = minimum [Peano.infinity, 2, Peano.infinity, 4]--testPeanoList :: [Char]-testPeanoList =- genericTake (genericLength (repeat 'a') :: Peano.T) ['a'..'z']---main :: IO ()-main = print test
− test-ghc-6.12/Test/Algebra/IntegralDomain.hs
@@ -1,41 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Test.Algebra.IntegralDomain where--import Algebra.IntegralDomain (roundDown, roundUp, divUp, )--import Test.NumericPrelude.Utility (testUnit, )-import Test.QuickCheck (Testable, quickCheck, (==>), )-import qualified Test.HUnit as HUnit--import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---test ::- (Testable t) =>- (Integer -> t) -> IO ()-test = quickCheck---tests :: HUnit.Test-tests =- HUnit.TestLabel "integral domain functions" $- HUnit.TestList $- map testUnit $- testList--testList :: [(String, IO ())]-testList =- ("divMod", test $ \n m ->- m/=0 ==> let (q,r) = divMod n m in n == q*m+r) :- ("divRound", test $ \n m ->- m/=0 ==> div n m * m == roundDown n m) :- ("divUpRound", test $ \n m ->- m/=0 ==> divUp n m * m == roundUp n m) :- ("floorLimit", test $ \n m0 ->- let m = 1 + abs m0- x = roundDown n m- in n-m < x && x <=n) :- ("floorCeiling", test $ \n m ->- m/=0 ==> - roundDown n m == roundUp (-n) m) :- []
− test-ghc-6.12/Test/Algebra/RealRing.hs
@@ -1,40 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Test.Algebra.RealRing where--import qualified Algebra.RealRing as RealRing--import Test.NumericPrelude.Utility (testUnit, )-import Test.QuickCheck (quickCheck, )-import qualified Test.HUnit as HUnit--import Data.Tuple.HT (mapFst, )--import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---test :: (Eq a) => (Double -> a) -> (Double -> a) -> IO ()-test f g =- quickCheck (\x -> f x == g x)---tests :: HUnit.Test-tests =- HUnit.TestLabel "rounding functions" $- HUnit.TestList $- map testUnit $- ("round", test RealRing.genericRound (NP.round :: Double -> Integer)) :- ("truncate", test RealRing.genericTruncate (NP.truncate :: Double -> Integer)) :- ("ceiling", test RealRing.genericCeiling (NP.ceiling :: Double -> Integer)) :- ("floor", test RealRing.genericFloor (NP.floor :: Double -> Integer)) :- ("fraction", test RealRing.genericFraction (NP.fraction :: Double -> Double)) :- ("splitFraction", test RealRing.genericSplitFraction (NP.splitFraction :: Double -> (Integer, Double))) :--{-- ("splitFractionId", quickCheck (\x -> (x::Double) == (uncurry (+) $ mapFst fromInteger $ splitFraction x))) :--}- ("splitFractionId", quickCheck (\x -> uncurry (==) $ mapFst (((x::Double)-) . fromInteger) $ splitFraction x)) :- ("splitFractionFloorFraction", quickCheck (\x -> (floor (x::Double) :: Integer, fraction x) == splitFraction x)) :- ("fractionBound", quickCheck (\x -> let y = fraction (x::Double) in 0<=y && y<1)) :- ("floorCeiling", quickCheck (\x -> negate (floor (x::Double) :: Integer) == ceiling (-x))) :- []
− test-ghc-6.12/Test/MathObj/Gaussian/Bell.hs
@@ -1,96 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Test.MathObj.Gaussian.Bell where--import qualified MathObj.Gaussian.Bell as G---- import qualified Algebra.Ring as Ring--import qualified Algebra.Laws as Laws--import qualified Number.Complex as Complex--import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (Testable, quickCheck, (==>))-import qualified Test.HUnit as HUnit--import Data.Function.HT (nest, )--import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---simple ::- (Testable t) =>- (G.T Rational -> t) -> IO ()-simple f =- quickCheck (\x -> f (x :: G.T Rational))--tests :: HUnit.Test-tests =- HUnit.TestLabel "polynomial" $- HUnit.TestList $- map testUnit $-{-- ("convolution, dirac",- simple $ Laws.identity (+) zero) :--}- ("convolution, commutative",- simple $ Laws.commutative G.convolve) :- ("convolution, associative",- simple $ Laws.associative G.convolve) :- ("multiplication, one",- simple $ Laws.identity G.multiply G.constant) :- ("multiplication, commutative",- simple $ Laws.commutative G.multiply) :- ("multiplication, associative",- simple $ Laws.associative G.multiply) :- ("convolution, multplication, fourier",- simple $ \x y ->- G.fourier (G.convolve x y)- == G.multiply (G.fourier x) (G.fourier y)) :- ("convolution via translation",- simple $ \x y ->- G.convolve x y- == G.convolveByTranslation x y) :- ("convolution via fourier",- simple $ \x y ->- G.convolve x y- == G.convolveByFourier x y) :- ("fourier reverse",- simple $ \x -> nest 2 G.fourier x == G.reverse x) :- ("reverse identity",- simple $ \x -> nest 2 G.reverse x == x) :- ("fourier unit",- quickCheck $ G.fourier G.unit == (G.unit :: G.T Rational)) :- ("translate additive",- simple $ \x a b ->- G.translate a (G.translate b x) == G.translate (a+b) x) :- ("translateComplex additive",- simple $ \x a b ->- G.translateComplex a (G.translateComplex b x) == G.translateComplex (a+b) x) :- ("translateComplex real",- simple $ \x a ->- G.translateComplex (Complex.fromReal a) x == G.translate a x) :- ("modulate additive",- simple $ \x a b ->- G.modulate a (G.modulate b x) == G.modulate (a+b) x) :- ("commute translate modulate",- simple $ \x a b ->- G.modulate b (G.translate a x)- == G.turn (a*b) (G.translate a (G.modulate b x))) :- ("fourier translate",- simple $ \x a ->- G.fourier (G.translate a x)- == G.modulate a (G.fourier x)) :- ("dilate multiplicative",- simple $ \x a b -> a>0 && b>0 ==>- G.dilate a (G.dilate b x) == G.dilate (a*b) x) :- ("dilate by shrink",- simple $ \x a -> a>0 ==>- G.shrink a x == G.dilate (recip a) x) :- ("fourier dilate",- simple $ \x a -> a>0 ==>- G.fourier (G.dilate a x) == G.amplify a (G.shrink a (G.fourier x))) :- []
− test-ghc-6.12/Test/MathObj/Gaussian/Polynomial.hs
@@ -1,158 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Test.MathObj.Gaussian.Polynomial where--import qualified MathObj.Gaussian.Polynomial as G-import qualified MathObj.Gaussian.Bell as B--import qualified MathObj.Polynomial as Poly---- import qualified Algebra.Ring as Ring--import qualified Algebra.Laws as Laws--import qualified Number.Complex as Complex--import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (Testable, quickCheck, (==>))-import qualified Test.HUnit as HUnit--import qualified Number.NonNegative as NonNeg-import Data.Function.HT (nest, )-import Data.Tuple.HT (mapSnd, )---- import Debug.Trace (trace, )--import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---simple ::- (Testable t) =>- (G.T Rational -> t) -> IO ()-simple f =- quickCheck (\x -> f (x :: G.T Rational))--tests :: HUnit.Test-tests =- HUnit.TestLabel "polynomial" $- HUnit.TestList $- map testUnit $- testList--testList :: [(String, IO ())]-testList =-{-- ("convolution, dirac",- simple $ Laws.identity (+) zero) :--}- ("convolution, commutative",- simple $ Laws.commutative G.convolve) :--- simple $ \x -> Laws.commutative G.convolve (trace (show x) x)) :- ("convolution, associative",- simple $ Laws.associative G.convolve) :-{-- ("convolution by differentiation vs. fourier",- simple $ \x y ->- G.convolveByDifferentiation x y- == G.convolveByFourier x y) :--}- ("multiplication, one",- simple $ Laws.identity G.multiply G.constant) :- ("multiplication, commutative",- simple $ Laws.commutative G.multiply) :- ("multiplication, associative",- simple $ Laws.associative G.multiply) :- ("convolution, multplication, fourier",- simple $ \x y ->- G.fourier (G.convolve x y)- == G.multiply (G.fourier x) (G.fourier y)) :- ("fourier reverse",- simple $ \x -> nest 2 G.fourier x == G.reverse x) :- ("reverse identity",- simple $ \x -> nest 2 G.reverse x == x) :- ("fourier eigenfunction differential",- quickCheck $ \m ->- m <= 15 ==>- let n = NonNeg.toNumber m- x = G.eigenfunctionDifferential n :: G.T Rational- k = Complex.conjugate Complex.imaginaryUnit ^ fromIntegral n- in G.fourier x == G.scaleComplex k x) :- ("fourier eigenfunction iterative",- quickCheck $ \m ->- m <= 15 ==>- let n = NonNeg.toNumber m- x = G.eigenfunctionIterative n :: G.T Rational- k = Complex.conjugate Complex.imaginaryUnit ^ fromIntegral n- in G.fourier x == G.scaleComplex k x) :-{- this does not hold, both functions compute different eigenbases- ("fourier eigenfunction diff vs. iterative",- quickCheck $ \n ->- n <= 15 ==>- G.eigenfunctionDifferential n ==- (G.eigenfunctionIterative n :: G.T Rational)) :--}- ("translate additive",- simple $ \x a b ->- G.translate a (G.translate b x) == G.translate (a+b) x) :- ("translateComplex additive",- simple $ \x a b ->- G.translateComplex a (G.translateComplex b x) == G.translateComplex (a+b) x) :- ("translateComplex real",- simple $ \x a ->- G.translateComplex (Complex.fromReal a) x == G.translate a x) :- ("modulate additive",- simple $ \x a b ->- G.modulate a (G.modulate b x) == G.modulate (a+b) x) :- ("commute translate modulate",- simple $ \x a b ->- G.modulate b (G.translate a x)- == G.turn (a*b) (G.translate a (G.modulate b x))) :- ("fourier translate",- simple $ \x a ->- G.fourier (G.translate a x)- == G.modulate a (G.fourier x)) :- ("dilate multiplicative",- simple $ \x a b -> a>0 && b>0 ==>- G.dilate a (G.dilate b x) == G.dilate (a*b) x) :- ("dilate by shrink",- simple $ \x a -> a>0 ==>- G.shrink a x == G.dilate (recip a) x) :- ("fourier dilate",- simple $ \x a -> a>0 ==>- G.fourier (G.dilate a x) == G.amplify a (G.shrink a (G.fourier x))) :- ("integrate differentiate",- simple $ \x ->- G.integrate (G.differentiate x) == (zero, x)) :- ("differentiate integrate",- simple $ \x@(G.Cons b p) ->- let (xoff,xint) = G.integrate x- in G.differentiate xint == G.Cons b (p + Poly.const xoff)) :- ("fourier differentiate",- simple $ \x ->- G.fourier (G.differentiate x) ==- let y = G.fourier x- in y{G.polynomial =- Poly.fromCoeffs [0, 0 Complex.+: 2] * G.polynomial y}) :- ("differentiate convolve",- simple $ \x y ->- G.convolve (G.differentiate x) y ==- G.convolve x (G.differentiate y)) :- ("approximate by bells, translate",- simple $ \x unit d -> unit/=0 ==>- G.approximateByBells unit (G.translateComplex d x) ==- map (mapSnd (B.translateComplex d)) (G.approximateByBells unit x)) :- ("approximate by bells, dilate",- simple $ \x unit d -> unit/=0 && d/=0 ==>- G.approximateByBells unit (G.dilate d x) ==- map (mapSnd (B.dilate d)) (G.approximateByBells (unit/d) x)) :- ("approximate by bells, shrink",- simple $ \x unit d -> unit/=0 && d/=0 ==>- G.approximateByBells unit (G.shrink d x) ==- map (mapSnd (B.shrink d)) (G.approximateByBells (unit*d) x)) :- ("approximate by bells, different implementations",- quickCheck $ \unit d s p -> unit/=0 ==>- G.approximateByBellsAtOnce unit d s (p::Poly.T (Complex.T Rational)) ==- G.approximateByBellsByTranslation unit d s p) :- []
− test-ghc-6.12/Test/MathObj/Gaussian/Variance.hs
@@ -1,210 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Test.MathObj.Gaussian.Variance where--import qualified MathObj.Gaussian.Variance as G-import qualified Number.Root as Root---- import qualified Algebra.Ring as Ring--import qualified Algebra.Laws as Laws--import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (Testable, quickCheck, (==>), Arbitrary, arbitrary, )-import qualified Test.HUnit as HUnit--import Control.Monad (liftM2, liftM3, )--import Data.Function.HT (nest, compose2, )--import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---newtype PositiveInteger = PositiveInteger Integer- deriving Show--instance Arbitrary PositiveInteger where- arbitrary =- fmap (\p -> PositiveInteger $ 1 + abs p) arbitrary---{- |-For @(HoelderConjugates p q)@ it holds--> 1/p + 1/q = 1--}-data HoelderConjugates = HoelderConjugates Rational Rational- deriving Show--{--instance Arbitrary HoelderConjugates where- arbitrary = liftM2- (\(PositiveInteger p) (PositiveInteger q) ->- let s = 1%p + 1%q- in HoelderConjugates (fromInteger p * s) (fromInteger q * s))- arbitrary arbitrary--}-instance Arbitrary HoelderConjugates where- arbitrary = liftM2- (\(PositiveInteger p) (PositiveInteger q) ->- let s = p + q- in HoelderConjugates (s % p) (s % q))- arbitrary arbitrary--{- |-For @(YoungConjugates p q r)@ it holds--> 1/p + 1/q = 1/r + 1--}-data YoungConjugates = YoungConjugates Rational Rational Rational- deriving Show--{--Find positive natural numbers @a, b, c, d@ with--> a + b = c + d--and--> d >= a, d >= b, d >= c--then set--> p=d/a, q=d/b, r=d/c---a+b<=c-b+c<=a--> 2b <= 0--}-instance Arbitrary YoungConjugates where- arbitrary = liftM3- (\(PositiveInteger a0) (PositiveInteger b0) (PositiveInteger c0) ->- let guardSwap cond (x,y) =- if cond x y then (x,y) else (y,x)- {-- If a+b<=c, then from b>0 it follows a<c and thus c+b>a.- Swapping a and c is enough and we have not to consider more cases.- -}- (a1,c1) = guardSwap (\a c -> a+b0>c) (a0,c0)- b1 = b0- d1 = a1+b1-c1- ((a2,b2),(c2,d2)) =- guardSwap (compose2 (<=) snd)- (guardSwap (<=) (a1,b1),- guardSwap (<=) (c1,d1))- in YoungConjugates (d2%a2) (d2%b2) (d2%c2))- arbitrary arbitrary arbitrary---simple ::- (Testable t) =>- (G.T Rational -> t) -> IO ()-simple f =- quickCheck (\x -> f (x :: G.T Rational))--tests :: HUnit.Test-tests =- HUnit.TestLabel "variance" $- HUnit.TestList $- map testUnit $- testList--testList :: [(String, IO ())]-testList =-{-- ("convolution, dirac",- simple $ Laws.identity (+) zero) :--}- ("convolution, commutative",- simple $ Laws.commutative G.convolve) :- ("convolution, associative",- simple $ Laws.associative G.convolve) :- ("multiplication, one",- simple $ Laws.identity G.multiply G.constant) :- ("multiplication, commutative",- simple $ Laws.commutative G.multiply) :- ("multiplication, associative",- simple $ Laws.associative G.multiply) :- ("convolution via fourier",- simple $ \x y ->- G.fourier (G.convolve x y)- == G.multiply (G.fourier x) (G.fourier y)) :- ("fourier identity",- simple $ \x -> nest 4 G.fourier x == x) :- ("dilate multiplicative",- simple $ \x a b -> a>0 && b>0 ==>- G.dilate a (G.dilate b x) == G.dilate (a*b) x) :- ("dilate by shrink",- simple $ \x a -> a>0 ==>- G.shrink a x == G.dilate (recip a) x) :- ("fourier dilate",- simple $ \x a -> a>0 ==>- G.fourier (G.dilate a x) == G.amplify a (G.shrink a (G.fourier x))) :- ("fourier, unitary",- simple $ \x y ->- G.scalarProductRoot x y- == G.scalarProductRoot (G.fourier x) (G.fourier y)) :- ("norm1 vs. normP 1",- simple $ \x -> G.norm1Root x == G.normPRoot 1 x) :- ("norm2 vs. normP 2",- simple $ \x -> G.norm2Root x == G.normPRoot 2 x) :-{--I would have liked to test for a monotony of norms.-Unfortunately, it does not hold.--Means contain a division by the size of the domain.-Norms do not have this division.-Means are monotonic with respect to the degree.-Norms are not.-We cannot turn the norms into means since the size of the domain-(the complete real axis) is infinitely large.- ("norm monotony",- simple $ \x p0 q0 ->- let p = 1 + abs p0- q = 1 + abs q0- in case compare p q of- EQ -> G.normPRoot p x == G.normPRoot q x- LT -> G.normPRoot p x <= G.normPRoot q x- GT -> G.normPRoot p x >= G.normPRoot q x) :--This should also fail,-but QuickCheck does not seem to try counterexamples.- ("infinity norm upper bound",- simple $ \x p0 ->- let p = 1 + abs p0- in G.normPRoot p x <= G.normInfRoot x) :--}- ("Cauchy-Schwarz inequality",- simple $ \x y ->- G.scalarProductRoot x y- <= G.norm2Root x `Root.mul` G.norm2Root y) :- ("Hoelder conjugates",- quickCheck $ \(HoelderConjugates p q) ->- p>=1 && q>=1 && 1/p + 1/q == 1) :- ("Hoelder inequality with infinity norm",- simple $ \x y ->- G.scalarProductRoot x y- <= G.norm1Root x `Root.mul` G.normInfRoot y) :- ("Hoelder inequality",- simple $ \x y (HoelderConjugates p q) ->- G.scalarProductRoot x y- <= G.normPRoot p x `Root.mul` G.normPRoot q y) :- ("Young inequality with two infinity norms",- simple $ \x y ->- G.normInfRoot (G.convolve x y)- <= G.norm1Root x `Root.mul` G.normInfRoot y) :- ("Young inequality with infinity norm",- simple $ \x y (HoelderConjugates p q) ->- G.normInfRoot (G.convolve x y)- <= G.normPRoot p x `Root.mul` G.normPRoot q y) :- ("Young conjugates",- quickCheck $ \(YoungConjugates p q r) ->- p>=1 && q>=1 && r>=1 && 1/p + 1/q == 1/r + 1) :- ("Young inequality",- simple $ \x y (YoungConjugates p q r) ->- G.normPRoot r (G.convolve x y)- <= G.normPRoot p x `Root.mul` G.normPRoot q y) :- []
− test-ghc-6.12/Test/MathObj/Matrix.hs
@@ -1,103 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Test.MathObj.Matrix where--import qualified MathObj.Matrix as Matrix--import qualified Algebra.Ring as Ring--import qualified Algebra.Laws as Laws--import qualified Number.NonNegative as NonNeg--import qualified System.Random as Random--import Data.Function.HT (nest, )--import Test.NumericPrelude.Utility (testUnit, )-import Test.QuickCheck (quickCheck, )-import qualified Test.HUnit as HUnit---import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---type Seed = Int-type Dimension = NonNeg.Int--random :: Dimension -> Dimension -> Seed -> Matrix.T Integer-random mn nn seed =- fst $- Matrix.random (NonNeg.toNumber mn) (NonNeg.toNumber nn) $- Random.mkStdGen seed---tests :: HUnit.Test-tests =- HUnit.TestLabel "matrix" $- HUnit.TestList $- map testUnit $- ("dimension",- quickCheck (\m n a ->- (NonNeg.toNumber m, NonNeg.toNumber n) == Matrix.dimension (random m n a))) :- ("to and from rows",- quickCheck (\m n a' ->- let a = random m n a'- in a == Matrix.fromRows (NonNeg.toNumber m) (NonNeg.toNumber n) (Matrix.rows a))) :- ("to and from columns",- quickCheck (\m n a' ->- let a = random m n a'- in a == Matrix.fromColumns (NonNeg.toNumber m) (NonNeg.toNumber n) (Matrix.columns a))) :- ("transpose, rows, columns",- quickCheck (\m n a' ->- let a = random m n a'- in Matrix.rows a == Matrix.columns (Matrix.transpose a))) :- ("transpose, columns, rows",- quickCheck (\m n a' ->- let a = random m n a'- in Matrix.columns a == Matrix.rows (Matrix.transpose a))) :- ("addition, zero",- quickCheck (\m n a ->- Laws.identity (+) (Matrix.zero (NonNeg.toNumber m) (NonNeg.toNumber n)) (random m n a))) :- ("addition, commutative",- quickCheck (\m n a b ->- Laws.commutative (+) (random m n a) (random m n b))) :- ("addition, associative",- quickCheck (\m n a b c ->- Laws.associative (+) (random m n a) (random m n b) (random m n c))) :- ("addition, transpose",- quickCheck (\m n a b ->- Laws.homomorphism Matrix.transpose (+) (+) (random m n a) (random m n b))) :- ("one, diagonal",- quickCheck (\n' ->- let n = NonNeg.toNumber n'- in Matrix.one n == (Matrix.diagonal $ replicate n Ring.one :: Matrix.T Integer))) :- ("multiplication, one left",- quickCheck (\m n a ->- Laws.leftIdentity (*) (Matrix.one (NonNeg.toNumber m)) (random m n a))) :- ("multiplication, one right",- quickCheck (\m n a ->- Laws.rightIdentity (*) (Matrix.one (NonNeg.toNumber n)) (random m n a))) :- ("multiplication, associative",- quickCheck (\k l m n a b c ->- Laws.associative (*) (random k l a) (random l m b) (random m n c))) :- ("multiplication and addition, distributive left",- quickCheck (\l m n a b c ->- Laws.leftDistributive (*) (+) (random n l a) (random m n b) (random m n c))) :- ("multiplication and addition, distributive right",- quickCheck (\l m n a b c ->- Laws.rightDistributive (*) (+) (random l m a) (random m n b) (random m n c))) :- ("multiplication, transpose",- quickCheck (\l m n a b ->- Laws.homomorphism Matrix.transpose (*) (flip (*)) (random l m a) (random m n b))) :- ("multiplication vs. power",- quickCheck (\m a n0 ->- let x = random m m a- n = mod n0 10- in x^n == nest (fromInteger n) (x*) (Matrix.one (NonNeg.toNumber m)))) :-{-- ("division", quickCheck (\x -> Integral.propInverse (x :: Poly.T Rational))) :--}- []
− test-ghc-6.12/Test/MathObj/PartialFraction.hs
@@ -1,205 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Test.MathObj.PartialFraction where--import qualified MathObj.PartialFraction as PartialFraction-import qualified MathObj.Polynomial as Poly-import qualified Number.Ratio as Ratio--import qualified Algebra.PrincipalIdealDomain as PID--- import qualified Algebra.Ring as Ring-import qualified Algebra.Indexable as Indexable-import qualified Algebra.Vector as Vector--- import Algebra.Vector((*>))--import qualified Algebra.Laws as Laws-import qualified Test.QuickCheck as QC--import Control.Monad.HT as M-import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (quickCheck)-import qualified Test.HUnit as HUnit---import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---{- * Properties for generic types -}--fractionConv :: (PID.C a, Indexable.C a) => [a] -> a -> Bool-fractionConv xs y =- PartialFraction.toFraction (PartialFraction.fromFactoredFraction xs y) ==- y % product xs--fractionConvAlt :: (PID.C a, Indexable.C a) => [a] -> a -> Bool-fractionConvAlt xs y =- PartialFraction.fromFactoredFraction xs y ==- PartialFraction.fromFactoredFractionAlt xs y--scaleInt :: (PID.C a, Indexable.C a) => a -> PartialFraction.T a -> Bool-scaleInt k a =- PartialFraction.toFraction (PartialFraction.scaleInt k a) ==- Ratio.scale k (PartialFraction.toFraction a)--add :: (PID.C a, Indexable.C a) => PartialFraction.T a -> PartialFraction.T a -> Bool-add = Laws.homomorphism PartialFraction.toFraction (+) (+)--sub :: (PID.C a, Indexable.C a) => PartialFraction.T a -> PartialFraction.T a -> Bool-sub = Laws.homomorphism PartialFraction.toFraction (-) (-)--mul :: (PID.C a, Indexable.C a) => PartialFraction.T a -> PartialFraction.T a -> Bool-mul = Laws.homomorphism PartialFraction.toFraction (*) (*)----{- * Properties for Integers -}--{- |-Arbitrary instance of that type generates irreducible elements for tests.-Choosing from a list of examples is a simple yet effective design.-If we would construct irreducible elements by a clever algorithm-we might obtain multiple primes only rarely.--}-newtype SmallPrime = SmallPrime {intFromSmallPrime :: Integer}--type IntFraction = ([SmallPrime],Integer)--instance QC.Arbitrary SmallPrime where- arbitrary =- let primes = [2,3,5,7,11,13]- in fmap SmallPrime $ QC.elements (primes ++ map negate primes)--instance Show SmallPrime where- show = show . intFromSmallPrime---fractionConvInt :: [SmallPrime] -> Integer -> Bool-fractionConvInt =- fractionConv . map intFromSmallPrime--fractionConvAltInt :: [SmallPrime] -> Integer -> Bool-fractionConvAltInt =- fractionConvAlt . map intFromSmallPrime--fromSmallPrimes :: IntFraction -> PartialFraction.T Integer-fromSmallPrimes (xs,y) =- PartialFraction.fromFactoredFraction (map intFromSmallPrime xs) y---scaleIntInt :: Integer -> IntFraction -> Bool-scaleIntInt k a =- scaleInt k (fromSmallPrimes a)--addInt :: IntFraction -> IntFraction -> Bool-addInt q0 q1 =- add- (fromSmallPrimes q0)- (fromSmallPrimes q1)--subInt :: IntFraction -> IntFraction -> Bool-subInt q0 q1 =- sub- (fromSmallPrimes q0)- (fromSmallPrimes q1)--mulInt :: IntFraction -> IntFraction -> Bool-mulInt q0 q1 =- mul- (fromSmallPrimes q0)- (fromSmallPrimes q1)---intTests :: HUnit.Test-intTests =- HUnit.TestLabel "integer" $- HUnit.TestList $- map testUnit $- ("conversion between partial and ordinary fraction", quickCheck fractionConvInt) :- ("two conversion routines from factored fractions", quickCheck fractionConvAltInt) :- ("integer scaling", quickCheck scaleIntInt) :- ("addition", quickCheck addInt) :- ("subtraction", quickCheck subInt) :- ("multiplication", quickCheck mulInt) :- []---{- * Properties for Polynomials -}--newtype IrredPoly = IrredPoly {polyFromIrredPoly :: Poly.T Rational}--type RatPolynomial = Poly.T Rational-type PolyFraction = ([IrredPoly],RatPolynomial)--instance QC.Arbitrary IrredPoly where- arbitrary =- do poly <- QC.elements (map Poly.fromCoeffs [[2,3],[2,0,1],[3,0,1],[1,-3,0,1]])- unit <- M.until (not. isZero) QC.arbitrary- return (IrredPoly (unit Vector.*> poly))--instance Show IrredPoly where- show = show . polyFromIrredPoly---fractionConvPoly :: [IrredPoly] -> RatPolynomial -> Bool-fractionConvPoly =- fractionConv . map polyFromIrredPoly--fractionConvAltPoly :: [IrredPoly] -> RatPolynomial -> Bool-fractionConvAltPoly =- fractionConvAlt . map polyFromIrredPoly--fromIrredPolys :: PolyFraction -> PartialFraction.T RatPolynomial-fromIrredPolys (xs,y) =- PartialFraction.fromFactoredFraction (map polyFromIrredPoly xs) y---scaleIntPoly :: RatPolynomial -> PolyFraction -> Bool-scaleIntPoly k a =- scaleInt k (fromIrredPolys a)--addPoly :: PolyFraction -> PolyFraction -> Bool-addPoly q0 q1 =- add- (fromIrredPolys q0)- (fromIrredPolys q1)--subPoly :: PolyFraction -> PolyFraction -> Bool-subPoly q0 q1 =- sub- (fromIrredPolys q0)- (fromIrredPolys q1)--mulPoly :: PolyFraction -> PolyFraction -> Bool-mulPoly q0 q1 =- mul- (fromIrredPolys q0)- (fromIrredPolys q1)----polyTests :: HUnit.Test-polyTests =- HUnit.TestLabel "polynomial" $- HUnit.TestList $- map testUnit $-{- this test fails, because addition may result in leading zero coefficients,- that is, polynomial addition does not contain a normalization- if it would contain one, we would exclude computable reals -}--- wrong ("conversion between partial and ordinary fraction", quickCheck fractionConvPoly) :--- wrong ("two conversion routines from factored fractions", quickCheck fractionConvAltPoly) :--- too slow ("integer scaling", quickCheck scaleIntPoly) :--- too slow ("addition", quickCheck addPoly) :--- too slow ("subtraction", quickCheck subPoly) :--- too slow ("multiplication", quickCheck mulPoly) :- []---tests :: HUnit.Test-tests =- HUnit.TestLabel "partial fraction" $- HUnit.TestList $- intTests :--- polyTests :- []
− test-ghc-6.12/Test/MathObj/Polynomial.hs
@@ -1,56 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Test.MathObj.Polynomial where--import qualified MathObj.Polynomial as Poly-import qualified MathObj.Polynomial.Core as PolyCore--import qualified Algebra.IntegralDomain as Integral-import qualified Algebra.Ring as Ring--import qualified Algebra.ZeroTestable as ZeroTestable-import qualified Algebra.Laws as Laws--import qualified Data.List as List--import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (Property, quickCheck, (==>), Testable, )-import qualified Test.HUnit as HUnit---import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---tensorProductTranspose :: (Ring.C a, Eq a) => [a] -> [a] -> Property-tensorProductTranspose xs ys =- not (null xs) && not (null ys) ==>- PolyCore.tensorProduct xs ys == List.transpose (PolyCore.tensorProduct ys xs)---mul :: (Ring.C a, Eq a, ZeroTestable.C a) => [a] -> [a] -> Bool-mul xs ys = PolyCore.equal (PolyCore.mul xs ys) (PolyCore.mulShear xs ys)---test :: Testable a => (Poly.T Integer -> a) -> IO ()-test = quickCheck--testRat :: Testable a => (Poly.T Rational -> a) -> IO ()-testRat = quickCheck---tests :: HUnit.Test-tests =- HUnit.TestLabel "polynomial" $- HUnit.TestList $- map testUnit $- ("tensor product", quickCheck (tensorProductTranspose :: [Integer] -> [Integer] -> Property)) :- ("mul speed", quickCheck (mul :: [Integer] -> [Integer] -> Bool)) :- ("addition, zero", test (Laws.identity (+) zero)) :- ("addition, commutative", test (Laws.commutative (+))) :- ("addition, associative", test (Laws.associative (+))) :- ("multiplication, one", test (Laws.identity (*) one)) :- ("multiplication, commutative", test (Laws.commutative (*))) :- ("multiplication, associative", test (Laws.associative (*))) :- ("multiplication and addition, distributive", test (Laws.leftDistributive (*) (+))) :- ("division", testRat (Integral.propInverse)) :- []
− test-ghc-6.12/Test/MathObj/PowerSeries.hs
@@ -1,103 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Test.MathObj.PowerSeries where--import qualified MathObj.PowerSeries.Core as PS-import qualified MathObj.PowerSeries.Example as PSE--import Test.NumericPrelude.Utility (equalInfLists {- , testUnit -} )--- import Test.QuickCheck (Property, quickCheck, (==>))-import qualified Test.HUnit as HUnit---import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---identitiesExplODE, identitiesSeriesFunction, identitiesInverses ::- [(String, Int, [Rational],[Rational])]--identitiesExplODE =- ("exp", 500, PSE.expExpl, PSE.expODE) :- ("sin", 500, PSE.sinExpl, PSE.sinODE) :- ("cos", 500, PSE.cosExpl, PSE.cosODE) :- ("tan", 50, PSE.tanExpl, PSE.tanODE) :- ("tan", 50, PSE.tanExpl, PSE.tanExplSieve) :- ("tan", 50, PSE.tanODE, PSE.tanODESieve) :- ("log", 500, PSE.logExpl, PSE.logODE) :- ("asin", 50, PSE.asinODE, snd (PS.inv PSE.sinODE)) :- ("atan", 500, PSE.atanExpl, PSE.atanODE) :- ("sinh", 500, PSE.sinhExpl, PSE.sinhODE) :- ("cosh", 500, PSE.coshExpl, PSE.coshODE) :- ("atanh", 500, PSE.atanhExpl, PSE.atanhODE) :- ("sqrt", 100, PSE.sqrtExpl, PSE.sqrtODE) :- []--identitiesSeriesFunction =- ("exp", 500, PSE.expExpl, PS.exp (\0 -> 1) [0,1]) :- ("sin", 500, PSE.sinExpl, PS.sin (\0 -> (0,1)) [0,1]) :- ("cos", 500, PSE.cosExpl, PS.cos (\0 -> (0,1)) [0,1]) :- ("tan", 50, PSE.tanExpl, PS.tan (\0 -> (0,1)) [0,1]) :- ("sqrt", 50, PSE.sqrtExpl, PS.sqrt (\1 -> 1) [1,1]) :- ("power", 500, PSE.powExpl (-1/3), PS.pow (\1 -> 1) (-1/3) [1,1]) :- ("power", 50, PSE.powExpl (-1/3), PS.exp (\0 -> 1) (PS.scale (-1/3) PSE.log)) :- ("log", 500, PSE.logExpl, PS.log (\1 -> 0) [1,1]) :- ("asin", 50, PSE.asin, PS.asin (\1 -> 1) (\0 -> 0) [0,1]) :- -- ("acos", 50, PSE.acos, PS.acos (\1 -> 1) (\0 -> pi/2) [0,1]) :- ("atan", 500, PSE.atan, PS.atan (\0 -> 0) [0,1]) :- []--identitiesInverses =- ("exp", 100, 1:1:repeat 0, PS.exp (\0 -> 1) PSE.log) :- ("log", 100, 0:1:repeat 0, PS.log (\1 -> 0) PSE.exp) :- ("tan", 50, 0:1:repeat 0, PS.tan (\0 -> (0,1)) PSE.atan) :- ("atan", 50, 0:1:repeat 0, PS.atan (\0 -> 0) PSE.tan) :- ("sin", 50, 0:1:repeat 0, PS.sin (\0 -> (0,1)) PSE.asin) :- ("asin", 100, 0:1:repeat 0, PS.asin (\1 -> 1) (\0 -> 0) PSE.sin) :- ("sqrt", 500, 1:1:repeat 0, PS.sqrt (\1 -> 1) (PS.mul [1,1] [1,1])) :- []--testSeriesIdentity :: (String, Int, [Rational], [Rational]) -> HUnit.Test-testSeriesIdentity (label, len, x, y) =- HUnit.test (HUnit.assertBool label (equalInfLists len [x,y]))--testSeriesIdentities ::- String -> [(String, Int, [Rational], [Rational])] -> HUnit.Test-testSeriesIdentities label ids =- HUnit.TestLabel label $- HUnit.TestList $ map testSeriesIdentity ids--checkSeriesIdentities ::- [(String, Int, [Rational], [Rational])] -> [(String,Bool)]-checkSeriesIdentities =- map (\(label, len, x, y) -> (label, equalInfLists len [x,y]))-----powerMult :: Rational -> Rational -> Bool-powerMult exp0 exp1 =- PS.mul (PSE.pow exp0) (PSE.pow exp1) == PSE.pow (exp0+exp1)--powerExplODE :: Rational -> Bool-powerExplODE expon =- PSE.powODE expon == PSE.powExpl expon---tests :: HUnit.Test-tests =- HUnit.TestLabel "power series" $- HUnit.TestList [- testSeriesIdentities "explicit vs. ODE solution" identitiesExplODE,- testSeriesIdentities "transcendent functions of series" identitiesSeriesFunction,- testSeriesIdentities "inverses of some series" identitiesInverses-{-- HUnit.TestLabel "laws" $- HUnit.TestList $- map testUnit $- ("products of powers", quickCheck (powerMult)) :- ("power explicit vs. ODE", quickCheck (powerExplODE)) :- []--}- ]
− test-ghc-6.12/Test/MathObj/RefinementMask2.hs
@@ -1,78 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Test.MathObj.RefinementMask2 where--import qualified MathObj.RefinementMask2 as Mask-import qualified Algebra.Differential as D--import qualified MathObj.Polynomial as Poly-import qualified MathObj.Polynomial.Core as PolyCore--import qualified Algebra.RealField as RealField-import qualified Algebra.Ring as Ring--import qualified Algebra.ZeroTestable as ZeroTestable--import Data.Maybe (fromMaybe, )--import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (Property, quickCheck, (==>), Testable, )-import qualified Test.HUnit as HUnit---import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP----hasMultipleZero :: (Ring.C a, Eq a) => Int -> a -> Poly.T a -> Bool-hasMultipleZero n x poly =- all (zero==) $ take n $- map (flip Poly.evaluate x) $- iterate D.differentiate poly--inverse0 :: (RealField.C a) => Mask.T a -> Property-inverse0 mask0 =- let (b,poly) =- case Mask.toPolynomial mask0 of- Just p -> (True, p)- Nothing -> (False, error "RefinementMask2.inverse0: no admissible mask")- mask1 = Mask.fromPolynomial poly- maskD =- Poly.fromCoeffs (Mask.coeffs mask1) -- Poly.fromCoeffs (Mask.coeffs mask0)- in b ==>- hasMultipleZero (fromMaybe 0 $ Poly.degree poly)- 1 maskD--truncatePolynomial :: (ZeroTestable.C a) => Int -> Poly.T a -> Poly.T a-truncatePolynomial n =- Poly.fromCoeffs . PolyCore.normalize . take n . Poly.coeffs--inverse1 :: (RealField.C a) => Poly.T a -> Bool-inverse1 poly0 =- case Mask.toPolynomial (Mask.fromPolynomial poly0) of- Just poly1 -> Poly.collinear poly0 poly1- Nothing -> False--refining :: (RealField.C a) => Poly.T a -> Bool-refining poly =- poly == Mask.refinePolynomial (Mask.fromPolynomial poly) poly----test :: Testable a => (Poly.T Integer -> a) -> IO ()-test = quickCheck--testRat :: Testable a => (Poly.T Rational -> a) -> IO ()-testRat = quickCheck---tests :: HUnit.Test-tests =- HUnit.TestLabel "refinement mask" $- HUnit.TestList $- map testUnit $- ("inverse0", quickCheck (inverse0 :: Mask.T Rational -> Property)) :- ("inverse1", quickCheck (inverse1 . truncatePolynomial 5 :: Poly.T Rational -> Bool)) :- ("refining", quickCheck (refining . truncatePolynomial 5 :: Poly.T Rational -> Bool)) :- []
− test-ghc-6.12/Test/Number/ComplexSquareRoot.hs
@@ -1,50 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-{-# LANGUAGE MultiParamTypeClasses #-}-{-# LANGUAGE FlexibleInstances #-}-module Test.Number.ComplexSquareRoot where--import qualified Number.ComplexSquareRoot as S-import qualified Number.Complex as Complex---- import qualified Algebra.Ring as Ring--import qualified Algebra.Laws as Laws--import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (Testable, quickCheck, (==>), )-import qualified Test.HUnit as HUnit--import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---simple ::- (Testable t) =>- (S.T Rational -> t) -> IO ()-simple = quickCheck--tests :: HUnit.Test-tests =- HUnit.TestLabel "complex square root" $- HUnit.TestList $- map testUnit $- testList--testList :: [(String, IO ())]-testList =- ("multiplication, one",- simple $ Laws.identity S.mul S.one) :- ("multiplication, commutative",- simple $ Laws.commutative S.mul) :- ("multiplication, associative",- simple $ Laws.associative S.mul) :- ("multiplication, homomorphism",- quickCheck $ Laws.homomorphism S.fromNumber- (\x y -> (x :: Complex.T Rational) * y) S.mul) :- ("division, one",- simple $ Laws.rightIdentity S.div S.one) :- ("recip recip",- simple $ \x -> not (isZero x) ==> S.recip (S.recip x) == x) :- ("recip inverts multiplication",- simple $ \x -> not (isZero x) ==> Laws.inverse S.mul S.recip S.one x) :- []
− test-ghc-6.12/Test/Number/GaloisField2p32m5.hs
@@ -1,37 +0,0 @@-{-# LANGUAGE NoImplicitPrelude #-}-module Test.Number.GaloisField2p32m5 where--import qualified Number.GaloisField2p32m5 as GF--import qualified Algebra.Laws as Laws--import Test.NumericPrelude.Utility (testUnit)-import Test.QuickCheck (Testable, quickCheck, (==>))-import qualified Test.HUnit as HUnit---import NumericPrelude.Base as P-import NumericPrelude.Numeric as NP---test :: Testable a => (GF.T -> a) -> IO ()-test = quickCheck---tests :: HUnit.Test-tests =- HUnit.TestLabel "galois field 2^32-5" $- HUnit.TestList $- map testUnit $- ("addition, zero", test (Laws.identity (+) zero)) :- ("addition, commutative", test (Laws.commutative (+))) :- ("addition, associative", test (Laws.associative (+))) :- ("addition, negate", test (Laws.inverse (+) negate zero)) :- ("addition, subtract", test (\x -> Laws.inverse (+) (x-) x)) :- ("multiplication, one", test (Laws.identity (*) one)) :- ("multiplication, commutative", test (Laws.commutative (*))) :- ("multiplication, associative", test (Laws.associative (*))) :- ("multiplication, recip", test (\y -> y /= 0 ==> Laws.inverse (*) recip one y)) :- ("multiplication, division", test (\y x -> y /= 0 ==> Laws.inverse (*) (x/) x y)) :- ("multiplication and addition, distributive", test (Laws.leftDistributive (*) (+))) :- []
− test-ghc-6.12/Test/NumericPrelude/Utility.hs
@@ -1,21 +0,0 @@--- cf. utility-ht Test.Utility-module Test.NumericPrelude.Utility where--import Data.List.HT (mapAdjacent, )-import qualified Data.List as List-import qualified Test.HUnit as HUnit---testUnit :: (String, IO ()) -> HUnit.Test-testUnit (label, check) =- HUnit.TestLabel label (HUnit.TestCase check)---- compare the lists simultaneously-equalLists :: Eq a => [[a]] -> Bool-equalLists xs =- let equalElems ys =- and (mapAdjacent (==) ys) && length xs == length ys- in all equalElems (List.transpose xs)--equalInfLists :: Eq a => Int -> [[a]] -> Bool-equalInfLists n xs = equalLists (map (take n) xs)
− test-ghc-6.12/Test/Run.hs
@@ -1,34 +0,0 @@-module Main where--import qualified Test.MathObj.RefinementMask2 as RefinementMask2-import qualified Test.Algebra.RealRing as RealRing-import qualified Test.Algebra.IntegralDomain as Integral-import qualified Test.MathObj.Gaussian.Polynomial as GaussPoly-import qualified Test.MathObj.Gaussian.Variance as GaussVariance-import qualified Test.MathObj.Gaussian.Bell as GaussBell-import qualified Test.MathObj.PartialFraction as PartialFraction-import qualified Test.MathObj.Matrix as Matrix-import qualified Test.MathObj.Polynomial as Polynomial-import qualified Test.MathObj.PowerSeries as PowerSeries-import qualified Test.Number.ComplexSquareRoot as CSqRt-import qualified Test.Number.GaloisField2p32m5 as GF-import qualified Test.HUnit.Text as HUnitText-import qualified Test.HUnit as HUnit--main :: IO ()-main =- print =<<- HUnitText.runTestTT (HUnit.TestList $- RefinementMask2.tests :- RealRing.tests :- Integral.tests :- GaussVariance.tests :- GaussBell.tests :- GaussPoly.tests :- PartialFraction.tests :- Matrix.tests :- Polynomial.tests :- PowerSeries.tests :- CSqRt.tests :- GF.tests :- [])
test/Test.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Main where import Number.Complex((+:), (-:), )
+ test/Test/Algebra/Additive.hs view
@@ -0,0 +1,35 @@+{-# LANGUAGE NoImplicitPrelude #-}+module Test.Algebra.Additive where++import qualified Algebra.Additive as A++import Test.NumericPrelude.Utility (testUnit, )+import Test.QuickCheck (Testable, quickCheck, )+import qualified Test.HUnit as HUnit++import NumericPrelude.Base as P+import NumericPrelude.Numeric as NP+++test ::+ (Testable t) =>+ ([Integer] -> t) -> IO ()+test = quickCheck+++tests :: HUnit.Test+tests =+ HUnit.TestLabel "additive group" $+ HUnit.TestList $+ map testUnit $+ testList++testList :: [(String, IO ())]+testList =+ ("sum1", test $ \ns n ->+ A.sum (n:ns) == A.sum1 (n:ns)) :+ ("sumNestedAssociative", test $ \ns ->+ A.sum ns == A.sumNestedAssociative ns) :+ ("sumNestedCommutative", test $ \ns ->+ A.sum ns == A.sumNestedCommutative ns) :+ []
test/Test/Algebra/IntegralDomain.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Test.Algebra.IntegralDomain where import Algebra.IntegralDomain (roundDown, roundUp, divUp, )
test/Test/Algebra/RealRing.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Test.Algebra.RealRing where import qualified Algebra.RealRing as RealRing
test/Test/MathObj/Gaussian/Bell.hs view
@@ -1,12 +1,10 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Test.MathObj.Gaussian.Bell where import qualified MathObj.Gaussian.Bell as G --- import qualified Algebra.Ring as Ring- import qualified Algebra.Laws as Laws import qualified Number.Complex as Complex@@ -24,8 +22,7 @@ simple :: (Testable t) => (G.T Rational -> t) -> IO ()-simple f =- quickCheck (\x -> f (x :: G.T Rational))+simple = quickCheck tests :: HUnit.Test tests =@@ -40,6 +37,14 @@ simple $ Laws.commutative G.convolve) : ("convolution, associative", simple $ Laws.associative G.convolve) :+ ("convolution by constant function",+ {-+ using a G.norm1 we could exactly compute the amplitude+ of the resulting constant function.+ -}+ simple $ \x ->+ case G.convolve x (G.constant) of+ G.Cons _amp _a b c -> isZero b && isZero c) : ("multiplication, one", simple $ Laws.identity G.multiply G.constant) : ("multiplication, commutative",@@ -58,6 +63,8 @@ simple $ \x y -> G.convolve x y == G.convolveByFourier x y) :+ ("fourier by translation",+ simple $ \x -> G.fourier x == G.fourierByTranslation x) : ("fourier reverse", simple $ \x -> nest 2 G.fourier x == G.reverse x) : ("reverse identity",
test/Test/MathObj/Gaussian/Polynomial.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Test.MathObj.Gaussian.Polynomial where@@ -156,3 +156,10 @@ G.approximateByBellsAtOnce unit d s (p::Poly.T (Complex.T Rational)) == G.approximateByBellsByTranslation unit d s p) : []++{-+inequalities:++Heisenberg's uncertainty relation+ needs integrals and thus needs product of exponential numbers and roots+-}
test/Test/MathObj/Gaussian/Variance.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Test.MathObj.Gaussian.Variance where@@ -97,6 +97,23 @@ guardSwap (<=) (c1,d1)) in YoungConjugates (d2%a2) (d2%b2) (d2%c2)) arbitrary arbitrary arbitrary++{-+This is simpler, but may yield exponents smaller than 1.++instance Arbitrary YoungConjugates where+ arbitrary = liftM3+ (\(PositiveInteger a0) (PositiveInteger b0) (PositiveInteger c0) ->+ let {-+ If a+b<=c, then from b>0 it follows a<c and thus c+b>a.+ Swapping a and c is enough and we have not to consider more cases.+ -}+ (a1,c1) = if a0+b0<=c0 then (c0,a0) else (a0,c0)+ b1 = b0+ d1 = a1+b1-c1+ in YoungConjugates (d1%a1) (d1%b1) (d1%c1))+ arbitrary arbitrary arbitrary+-} simple ::
test/Test/MathObj/Matrix.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Test.MathObj.Matrix where
test/Test/MathObj/PartialFraction.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Test.MathObj.PartialFraction where
test/Test/MathObj/Polynomial.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Test.MathObj.Polynomial where import qualified MathObj.Polynomial as Poly
test/Test/MathObj/PowerSeries.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Test.MathObj.PowerSeries where
test/Test/MathObj/RefinementMask2.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Test.MathObj.RefinementMask2 where import qualified MathObj.RefinementMask2 as Mask@@ -30,7 +30,7 @@ map (flip Poly.evaluate x) $ iterate D.differentiate poly -inverse0 :: (RealField.C a) => Mask.T a -> Property+inverse0 :: (RealField.C a, ZeroTestable.C a) => Mask.T a -> Property inverse0 mask0 = let (b,poly) = case Mask.toPolynomial mask0 of@@ -54,7 +54,7 @@ Just poly1 -> Poly.collinear poly0 poly1 Nothing -> False -refining :: (RealField.C a) => Poly.T a -> Bool+refining :: (RealField.C a, ZeroTestable.C a) => Poly.T a -> Bool refining poly = poly == Mask.refinePolynomial (Mask.fromPolynomial poly) poly
test/Test/Number/ComplexSquareRoot.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE FlexibleInstances #-} module Test.Number.ComplexSquareRoot where
test/Test/Number/GaloisField2p32m5.hs view
@@ -1,4 +1,4 @@-{-# LANGUAGE RebindableSyntax #-}+{-# LANGUAGE NoImplicitPrelude #-} module Test.Number.GaloisField2p32m5 where import qualified Number.GaloisField2p32m5 as GF
test/Test/Run.hs view
@@ -3,6 +3,7 @@ import qualified Test.MathObj.RefinementMask2 as RefinementMask2 import qualified Test.Algebra.RealRing as RealRing import qualified Test.Algebra.IntegralDomain as Integral+import qualified Test.Algebra.Additive as Additive import qualified Test.MathObj.Gaussian.Polynomial as GaussPoly import qualified Test.MathObj.Gaussian.Variance as GaussVariance import qualified Test.MathObj.Gaussian.Bell as GaussBell@@ -22,6 +23,7 @@ RefinementMask2.tests : RealRing.tests : Integral.tests :+ Additive.tests : GaussVariance.tests : GaussBell.tests : GaussPoly.tests :