Cabal revisions of linearmap-category-0.5.0.0
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
--- Initial linearmap-family.cabal generated by cabal init. For further --- documentation, see http://haskell.org/cabal/users-guide/--name: linearmap-category-version: 0.5.0.0-synopsis: Native, complete, matrix-free linear algebra.-description: The term /numerical linear algebra/ is often used almost- synonymous with /matrix modifications/. However, what's interesting- for most applications are really just /points in some vector space/- and linear mappings between them, not matrices (which represent- points or mappings, but inherently depend on a particular choice- of basis / coordinate system).- .- This library implements the crucial LA operations like solving- linear equations and eigenvalue problems, without requiring- that the vectors are represented in some particular basis. Apart- from conceptual elegance (only operations that are actually- geometrically sensible will typecheck – this is far stronger than- just confirming that the dimensions match, as some other libraries- do), this also opens up good optimisation possibilities: the- vectors can be unboxed, use dedicated sparse compression, possibly- carry out the computations on accelerated hardware (GPU etc.).- The spaces can even be infinite-dimensional (e.g. function spaces).- .- The linear algebra algorithms in this package only require the- vectors to support fundamental operations like addition, scalar- products, double-dual-space coercion and tensor products; none of- this requires a basis representation.-homepage: https://github.com/leftaroundabout/linearmap-family-license: GPL-3-license-file: LICENSE-author: Justus Sagemüller-maintainer: (@) jsag $ hvl.no--- copyright: -category: Math-build-type: Simple--- extra-source-files: -cabal-version: >=1.10--library- exposed-modules: Math.LinearMap.Category- Math.LinearMap.Category.Instances.Deriving- Math.LinearMap.Coercion- Math.VectorSpace.ZeroDimensional- Math.VectorSpace.Dual- Math.VectorSpace.MiscUtil.MultiConstraints- Math.LinearMap.Category.Derivatives- other-modules: Math.LinearMap.Category.Class- Math.LinearMap.Asserted- Math.LinearMap.Category.TensorQuot- Math.LinearMap.Category.Instances- Math.VectorSpace.Docile- other-extensions: FlexibleInstances, UndecidableInstances, FunctionalDependencies, TypeOperators, TypeFamilies- build-depends: base >=4.8 && <5,- vector-space >=0.11 && <0.18, MemoTrie,- constrained-categories >=0.3 && <0.5,- containers, vector,- tagged,- free-vector-spaces >= 0.1.4 && < 0.3,- linear, lens, transformers,- manifolds-core >= 0.5.1.0 && < 0.7,- semigroups, hashable,- data-default-class,- ieee754 >= 0.7 && < 0.9,- call-stack,- template-haskell >=2.12 && <2.18,- th-abstraction >=0.4 && <0.5,- QuickCheck >=2.11 && <2.15- -- hs-source-dirs: - default-language: Haskell2010--test-suite tasty- main-is: test.hs- type: exitcode-stdio-1.0- hs-source-dirs: test/tasty- build-depends: base, linearmap-category, vector-space- , QuickCheck- , manifolds-core- , linear- , constrained-categories- , tasty, tasty-quickcheck- ghc-options: -threaded "-with-rtsopts -N8 -M2G"- default-language: Haskell2010-+-- Initial linearmap-family.cabal generated by cabal init. For further +-- documentation, see http://haskell.org/cabal/users-guide/ + +name: linearmap-category +version: 0.5.0.0 +x-revision: 1 +synopsis: Native, complete, matrix-free linear algebra. +description: The term /numerical linear algebra/ is often used almost + synonymous with /matrix modifications/. However, what's interesting + for most applications are really just /points in some vector space/ + and linear mappings between them, not matrices (which represent + points or mappings, but inherently depend on a particular choice + of basis / coordinate system). + . + This library implements the crucial LA operations like solving + linear equations and eigenvalue problems, without requiring + that the vectors are represented in some particular basis. Apart + from conceptual elegance (only operations that are actually + geometrically sensible will typecheck – this is far stronger than + just confirming that the dimensions match, as some other libraries + do), this also opens up good optimisation possibilities: the + vectors can be unboxed, use dedicated sparse compression, possibly + carry out the computations on accelerated hardware (GPU etc.). + The spaces can even be infinite-dimensional (e.g. function spaces). + . + The linear algebra algorithms in this package only require the + vectors to support fundamental operations like addition, scalar + products, double-dual-space coercion and tensor products; none of + this requires a basis representation. +homepage: https://github.com/leftaroundabout/linearmap-family +license: GPL-3 +license-file: LICENSE +author: Justus Sagemüller +maintainer: (@) jsag $ hvl.no +-- copyright: +category: Math +build-type: Simple +-- extra-source-files: +cabal-version: >=1.10 + +library + exposed-modules: Math.LinearMap.Category + Math.LinearMap.Category.Instances.Deriving + Math.LinearMap.Coercion + Math.VectorSpace.ZeroDimensional + Math.VectorSpace.Dual + Math.VectorSpace.MiscUtil.MultiConstraints + Math.LinearMap.Category.Derivatives + other-modules: Math.LinearMap.Category.Class + Math.LinearMap.Asserted + Math.LinearMap.Category.TensorQuot + Math.LinearMap.Category.Instances + Math.VectorSpace.Docile + other-extensions: FlexibleInstances, UndecidableInstances, FunctionalDependencies, TypeOperators, TypeFamilies + build-depends: base >=4.8 && <5, + vector-space >=0.11 && <0.18, MemoTrie, + constrained-categories >=0.3 && <0.5, + containers, vector, + tagged, + free-vector-spaces >= 0.1.4 && < 0.3, + linear, lens, transformers, + manifolds-core >= 0.5.1.0 && < 0.7, + semigroups, hashable, + data-default-class, + ieee754 >= 0.7 && < 0.9, + call-stack, + template-haskell >=2.12 && <2.19, + th-abstraction >=0.4 && <0.5, + QuickCheck >=2.11 && <2.15 + -- hs-source-dirs: + default-language: Haskell2010 + +test-suite tasty + main-is: test.hs + type: exitcode-stdio-1.0 + hs-source-dirs: test/tasty + build-depends: base, linearmap-category, vector-space + , QuickCheck + , manifolds-core + , linear + , constrained-categories + , tasty, tasty-quickcheck + ghc-options: -threaded "-with-rtsopts -N8 -M2G" + default-language: Haskell2010 +
revision 2
name: linearmap-category version: 0.5.0.0 -x-revision: 1 +x-revision: 2 synopsis: Native, complete, matrix-free linear algebra. description: The term /numerical linear algebra/ is often used almost synonymous with /matrix modifications/. However, what's interesting data-default-class, ieee754 >= 0.7 && < 0.9, call-stack, - template-haskell >=2.12 && <2.19, + template-haskell >=2.12 && <2.18, th-abstraction >=0.4 && <0.5, QuickCheck >=2.11 && <2.15 -- hs-source-dirs: