ad-0.12: Numeric/AD/Forward.hs
{-# LANGUAGE Rank2Types #-}
-----------------------------------------------------------------------------
-- |
-- Module : Numeric.AD.Forward
-- Copyright : (c) Edward Kmett 2010
-- License : BSD3
-- Maintainer : ekmett@gmail.com
-- Stability : experimental
-- Portability : GHC only
--
-- Forward mode automatic differentiation
--
-----------------------------------------------------------------------------
module Numeric.AD.Forward
(
-- * Gradient
grad
, grad2
-- * Jacobian
, jacobian
, jacobian2
, jacobianT
-- * Derivatives
, diffUU
, diff2UU
, diffUF
, diff2UF
-- * Synonyms
, diff
, diff2
-- * Exposed Types
, AD(..)
, Mode(..)
) where
import Data.Traversable (Traversable)
import Control.Applicative
import Numeric.AD.Classes
import Numeric.AD.Internal
import Numeric.AD.Internal.Forward
-- | The 'diff2' function calculates the first derivative of scalar-to-scalar function by 'Forward' 'AD'
diff :: Num a => (forall s. Mode s => AD s a -> AD s a) -> a -> a
diff = diffUU
{-# INLINE diff #-}
-- | The 'diff2' function calculates the result and first derivative of scalar-to-scalar function by 'Forward' 'AD'
diff2 :: Num a => (forall s. Mode s => AD s a -> AD s a) -> a -> (a, a)
diff2 = diff2UU
{-# INLINE diff2 #-}
-- | The 'diffUU' function calculates the first derivative of a scalar-to-scalar function by 'Forward' 'AD'
diffUU :: Num a => (forall s. Mode s => AD s a -> AD s a) -> a -> a
diffUU f a = tangent $ apply f a
{-# INLINE diffUU #-}
-- | The 'diff2UU' function calculates the result and first derivative of scalar-to-scalar function by 'Forward' 'AD'
diff2UU :: Num a => (forall s. Mode s => AD s a -> AD s a) -> a -> (a, a)
diff2UU f a = unbundle $ apply f a
{-# INLINE diff2UU #-}
-- | The 'diffUF' function calculates the first derivative of scalar-to-nonscalar function by 'Forward' 'AD'
diffUF :: (Functor f, Num a) => (forall s. Mode s => AD s a -> f (AD s a)) -> a -> f a
diffUF f a = tangent <$> apply f a
{-# INLINE diffUF #-}
-- | The 'diff2UF' function calculates the result and first derivative of a scalar-to-non-scalar function by 'Forward' 'AD'
diff2UF :: (Functor f, Num a) => (forall s. Mode s => AD s a -> f (AD s a)) -> a -> f (a, a)
diff2UF f a = unbundle <$> apply f a
{-# INLINE diff2UF #-}
-- A fast, simple transposed forward jacobian
jacobianT :: (Traversable f, Functor g, Num a) => (forall s. Mode s => f (AD s a) -> g (AD s a)) -> f a -> f (g a)
jacobianT f = bind (fmap tangent . f)
-- jacobianT f as = fmap tangent <$> bind f as
{-# INLINE jacobianT #-}
jacobian :: (Traversable f, Traversable g, Num a) => (forall s. Mode s => f (AD s a) -> g (AD s a)) -> f a -> g (f a)
jacobian f as = transposeWith (const id) t p
where
(p, t) = bind2 (fmap tangent . f) as
{-# INLINE jacobian #-}
jacobian2 :: (Traversable f, Traversable g, Num a) => (forall s. Mode s => f (AD s a) -> g (AD s a)) -> f a -> g (a, f a)
jacobian2 f as = transposeWith row t p
where
(p, t) = bind2 f as
row x as' = (primal x, tangent <$> as')
{-# INLINE jacobian2 #-}
grad :: (Traversable f, Num a) => (forall s. Mode s => f (AD s a) -> AD s a) -> f a -> f a
grad f = bind (tangent . f)
{-# INLINE grad #-}
grad2 :: (Traversable f, Num a) => (forall s. Mode s => f (AD s a) -> AD s a) -> f a -> (a, f a)
grad2 f as = (primal b, tangent <$> bs)
where
(b, bs) = bind2 f as
{-# INLINE grad2 #-}