vector-space-0.2.0: src/Data/Horner.hs
{-# LANGUAGE TypeOperators, MultiParamTypeClasses, UndecidableInstances
, TypeSynonymInstances, FlexibleInstances, FunctionalDependencies
#-}
{-# OPTIONS_GHC -Wall #-}
----------------------------------------------------------------------
-- |
-- Module : Data.Horner
-- Copyright : (c) Conal Elliott 2008
-- License : BSD3
--
-- Maintainer : conal@conal.net
-- Stability : experimental
--
-- Infinite derivative towers via linear maps, using the Horner
-- representation. See blog posts <http://conal.net/blog/tag/derivatives/>.
----------------------------------------------------------------------
module Data.Horner
(
(:>), powVal, derivative, integral
, (:~>), dZero, dConst
, idD, fstD, sndD
, linearD, distrib
, (@.), (>-<)
-- , HasDeriv(..)
)
where
import Control.Applicative
import Data.VectorSpace
import Data.LinearMap
import Data.NumInstances ()
infixr 9 `H`, @.
infix 0 >-<
-- | Power series
--
-- Warning, the 'Applicative' instance is missing its 'pure' (due to a
-- 'VectorSpace' type constraint). Use 'dConst' instead.
data a :> b = H b (a :-* (a :> b))
-- | The plain-old (0th order) value
powVal :: (a :> b) -> b
powVal (H b _) = b
-- Apply successive functions to successive values
apPow :: [b -> c] -> (a :> b) -> (a :> c)
apPow [] _ = error "apPow: finite function list"
apPow (f : fs) (b0 `H` bt) = H (f b0) (apPow fs . bt)
-- Count. Avoids the 'Enum' requirement of [1..]
from :: Num s => s -> [s]
from n = n : from (n+1)
-- | Derivative of a power series
derivative :: (VectorSpace b s, Num s) =>
(a :> b) -> (a :-* (a :> b))
derivative (H _ bt) = apPow ((*^) <$> from 1) . bt
-- | Integral of a power series
integral :: (VectorSpace b s, Fractional s) =>
b -> (a :-* (a :> b)) -> (a :> b)
integral b0 bt = H b0 (apPow (((*^).recip) <$> from 1) . bt)
-- | Infinitely differentiable functions
type a :~> b = a -> (a:>b)
-- So we could define
--
-- data a :> b = H b (a :~> b)
--
-- with the restriction that the a :~> b is linear
instance Functor ((:>) a) where
fmap f (H b b') = H (f b) ((fmap.fmap) f b')
-- I think fmap will be meaningful only with *linear* functions.
-- Handy for missing methods.
noOv :: String -> a
noOv op = error (op ++ ": not defined on a :> b")
instance Applicative ((:>) a) where
-- pure = dConst -- not! see below.
pure = noOv "pure" -- use dConst instead
H f f' <*> H b b' = H (f b) (liftA2 (<*>) f' b')
-- Why can't we define 'pure' as 'dConst'? Because of the extra type
-- constraint that @VectorSpace b@ (not @a@). Oh well. Be careful not to
-- use 'pure', okay? Alternatively, I could define the '(<*>)' (naming it
-- something else) and then say @foo <$> p <*^> q <*^> ...@.
-- | Constant derivative tower.
dConst :: VectorSpace b s => b -> a:>b
dConst b = b `H` const dZero
-- | Derivative tower full of 'zeroV'.
dZero :: VectorSpace b s => a:>b
dZero = dConst zeroV
-- | Differentiable identity function. Sometimes called "the
-- derivation variable" or similar, but it's not really a variable.
idD :: VectorSpace u s => u :~> u
idD = linearD id
-- or
-- dId v = H v dConst
-- | Every linear function has a constant derivative equal to the function
-- itself (as a linear map).
linearD :: VectorSpace v s => (u :-* v) -> (u :~> v)
linearD f u = H (f u) (dConst . f)
-- Other examples of linear functions
-- | Differentiable version of 'fst'
fstD :: VectorSpace a s => (a,b) :~> a
fstD = linearD fst
-- | Differentiable version of 'snd'
sndD :: VectorSpace b s => (a,b) :~> b
sndD = linearD snd
-- | Derivative tower for applying a binary function that distributes over
-- addition, such as multiplication. A bit weaker assumption than
-- bilinearity.
distrib :: (VectorSpace u s) =>
(b -> c -> u) -> (a :> b) -> (a :> c) -> (a :> u)
distrib op = opD
where
opD (H u0 ut) v@(H v0 vt) =
H (u0 `op` v0) (fmap (u0 `op`) . vt ^+^ (`opD` v) . ut)
-- Equivalently,
--
-- distrib op = opD
-- where
-- opD u@(H u0 u') v@(H v0 v') =
-- H (u0 `op` v0) (\ da -> ((u0 `op`) <$> v' da) ^+^ (u' da `opD` v))
-- I'm not sure about the next three, which discard information
instance Show b => Show (a :> b) where show = noOv "show"
instance Eq b => Eq (a :> b) where (==) = noOv "(==)"
instance Ord b => Ord (a :> b) where compare = noOv "compare"
instance (LMapDom a s, VectorSpace u s) => AdditiveGroup (a :> u) where
zeroV = pureD zeroV -- or dZero
negateV = fmapD negateV
(^+^) = liftD2 (^+^)
instance (LMapDom a s, VectorSpace u s) => VectorSpace (a :> u) s where
(*^) s = fmapD ((*^) s)
(**^) :: (VectorSpace c s, VectorSpace s s, LMapDom a s) =>
(a :> s) -> (a :> c) -> (a :> c)
(**^) = distrib (*^)
-- | Chain rule.
(@.) :: (VectorSpace b s, VectorSpace c s, Num s) =>
(b :~> c) -> (a :~> b) -> (a :~> c)
(h @. g) a0 = H c0 (derivative c @. derivative b)
where
b@(H b0 _) = g a0
c@(H c0 _) = h b0
-- | Specialized chain rule.
(>-<) :: (VectorSpace u s, Fractional s) => (u -> u) -> ((a :> u) -> (a :> s))
-> (a :> u) -> (a :> u)
-- f >-< f' = \ u@(D u0 u') -> D (f u0) ((f' u *^) . u')
f >-< f' = \ u@(H u0 _) -> integral (f u0) ((f' u *^) . derivative u)
-- TODO: consider eliminating @Num s@. I just need a multiplicative unit.
-- Equivalently:
--
-- f >-< f' = \ u@(H u0 u') -> H (f u0) (\ da -> f' u *^ u' da)
instance (Fractional b, VectorSpace b b) => Num (a:>b) where
fromInteger = dConst . fromInteger
(+) = liftA2 (+)
(-) = liftA2 (-)
(*) = distrib (*)
negate = negate >-< -1
abs = abs >-< signum
signum = signum >-< 0 -- derivative wrong at zero
instance (Fractional b, VectorSpace b b) => Fractional (a:>b) where
fromRational = dConst . fromRational
recip = recip >-< recip sqr
sqr :: Num a => a -> a
sqr x = x*x
instance (Floating b, VectorSpace b b) => Floating (a:>b) where
pi = dConst pi
exp = exp >-< exp
log = log >-< recip
sqrt = sqrt >-< recip (2 * sqrt)
sin = sin >-< cos
cos = cos >-< - sin
sinh = sinh >-< cosh
cosh = cosh >-< sinh
asin = asin >-< recip (sqrt (1-sqr))
acos = acos >-< recip (- sqrt (1-sqr))
atan = atan >-< recip (1+sqr)
asinh = asinh >-< recip (sqrt (1+sqr))
acosh = acosh >-< recip (- sqrt (sqr-1))
atanh = atanh >-< recip (1-sqr)