vector-space-0.5.3: src/Data/LinearMap.hs
{-# LANGUAGE TypeOperators, FlexibleContexts, TypeFamilies, CPP #-}
{-# OPTIONS_GHC -Wall -fno-warn-orphans #-}
-- {-# OPTIONS_GHC -funbox-strict-fields #-}
-- {-# OPTIONS_GHC -ddump-simpl-stats -ddump-simpl #-}
----------------------------------------------------------------------
-- |
-- Module : Data.LinearMap
-- Copyright : (c) Conal Elliott 2008
-- License : BSD3
--
-- Maintainer : conal@conal.net
-- Stability : experimental
--
-- Linear maps
----------------------------------------------------------------------
module Data.LinearMap
( (:-*) , linear, lapply, idL, compL
) where
import Control.Arrow (first)
import Data.MemoTrie ((:->:)(..))
import Data.VectorSpace (VectorSpace(..))
import Data.Basis (HasBasis(..), linearCombo)
-- Linear maps are almost but not quite a Control.Category. The type
-- class constraints interfere. They're almost an Arrow also, but for the
-- constraints and the generality of arr.
-- | Linear map, represented as a memo-trie from basis to values.
type u :-* v = Basis u :->: v
-- TODO: Use a regular function from @Basis u@, but memoize it.
-- | Function (assumed linear) as linear map.
linear :: (HasBasis u, HasTrie (Basis u)) =>
(u -> v) -> (u :-* v)
linear f = trie (f . basisValue)
-- | Apply a linear map to a vector.
lapply :: ( VectorSpace v, Scalar u ~ Scalar v
, HasBasis u, HasTrie (Basis u) ) =>
(u :-* v) -> (u -> v)
lapply tr = linearCombo . fmap (first (untrie tr)) . decompose
-- Identity linear map
idL :: (HasBasis u, HasTrie (Basis u)) =>
u :-* u
idL = linear id
-- | Compose linear maps
compL :: ( HasBasis u, HasTrie (Basis u)
, HasBasis v, HasTrie (Basis v)
, VectorSpace w, Scalar v ~ Scalar w ) =>
(v :-* w) -> (u :-* v) -> (u :-* w)
compL vw = fmap (lapply vw)
-- It may be helpful that @lapply vw@ is evaluated just once and not
-- once per uv. 'untrie' can strip off all of its trie constructors.
-- Less efficient definition:
--
-- vw `compL` uv = linear (lapply vw . lapply uv)
--
-- i.e., compL = inL2 (.)
--
-- The problem with these definitions is that basis elements get converted
-- to values and then decomposed, followed by recombination of the
-- results.