X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=src%2FLinear%2FMatrix.hs;h=e8d7180fbc7717ef93ce3eb30ff55332aeef31b5;hb=3274b18a2fb48f26e6582d9dcee11b4067230911;hp=f6dbec07d316b7209e5e24450647fab27719358f;hpb=9b639d75334420747ce83376910af90368940640;p=numerical-analysis.git diff --git a/src/Linear/Matrix.hs b/src/Linear/Matrix.hs index f6dbec0..e8d7180 100644 --- a/src/Linear/Matrix.hs +++ b/src/Linear/Matrix.hs @@ -20,6 +20,7 @@ import Data.List (intercalate) import Data.Vector.Fixed ( (!), generate, + mk0, mk1, mk2, mk3, @@ -27,23 +28,25 @@ import Data.Vector.Fixed ( mk5 ) import qualified Data.Vector.Fixed as V ( and, + foldl, fromList, head, ifoldl, ifoldr, imap, map, - maximum, replicate, reverse, toList, zipWith ) import Data.Vector.Fixed.Cont ( Arity, arity ) import Linear.Vector ( Vec, delete ) -import Naturals ( N1, N2, N3, N4, N5, N6, N7, N8, N9, N10, S, Z ) +import Naturals import Normed ( Normed(..) ) -import NumericPrelude hiding ( (*), abs ) +-- We want the "max" that works on Ord, not the one that only works on +-- Bool/Integer from the Lattice class! +import NumericPrelude hiding ( (*), abs, max) import qualified NumericPrelude as NP ( (*) ) import qualified Algebra.Absolute as Absolute ( C ) import Algebra.Absolute ( abs ) @@ -56,17 +59,20 @@ import qualified Algebra.Module as Module ( C ) import qualified Algebra.RealRing as RealRing ( C ) import qualified Algebra.ToRational as ToRational ( C ) import qualified Algebra.Transcendental as Transcendental ( C ) -import qualified Prelude as P ( map ) +import qualified Prelude as P ( map, max) -- | Our main matrix type. data Mat m n a = (Arity m, Arity n) => Mat (Vec m (Vec n a)) -- Type synonyms for n-by-n matrices. +type Mat0 a = Mat Z Z a type Mat1 a = Mat N1 N1 a type Mat2 a = Mat N2 N2 a type Mat3 a = Mat N3 N3 a type Mat4 a = Mat N4 N4 a type Mat5 a = Mat N5 N5 a +type Mat6 a = Mat N6 N6 a +type Mat7 a = Mat N7 N7 a -- * Type synonyms for 1-by-n row "vectors". @@ -84,6 +90,7 @@ type Row5 a = Row N5 a -- | Type synonym for column vectors expressed as n-by-1 matrices. type Col n a = Mat n N1 a +type Col0 a = Col Z a type Col1 a = Col N1 a type Col2 a = Col N2 a type Col3 a = Col N3 a @@ -93,7 +100,29 @@ type Col6 a = Col N6 a type Col7 a = Col N7 a type Col8 a = Col N8 a type Col9 a = Col N9 a -type Col10 a = Col N10 a -- We need a big column for Gaussian quadrature. +type Col10 a = Col N10 a +type Col11 a = Col N11 a +type Col12 a = Col N12 a +type Col13 a = Col N13 a +type Col14 a = Col N14 a +type Col15 a = Col N15 a +type Col16 a = Col N16 a +type Col17 a = Col N17 a +type Col18 a = Col N18 a +type Col19 a = Col N19 a +type Col20 a = Col N20 a +type Col21 a = Col N21 a +type Col22 a = Col N22 a +type Col23 a = Col N23 a +type Col24 a = Col N24 a +type Col25 a = Col N25 a +type Col26 a = Col N26 a +type Col27 a = Col N27 a +type Col28 a = Col N28 a +type Col29 a = Col N29 a +type Col30 a = Col N30 a +type Col31 a = Col N31 a +type Col32 a = Col N32 a instance (Eq a) => Eq (Mat m n a) where @@ -324,15 +353,21 @@ identity_matrix = -- >>> frobenius_norm (r - (transpose expected)) < 1e-12 -- True -- -cholesky :: forall m n a. (Algebraic.C a, Arity m, Arity n) - => (Mat m n a) -> (Mat m n a) -cholesky m = construct r +cholesky :: forall m a. (Algebraic.C a, Arity m) + => (Mat m m a) -> (Mat m m a) +cholesky m = ifoldl2 f zero m where - r :: Int -> Int -> a - r i j | i == j = sqrt(m !!! (i,j) - sum [(r k i)^2 | k <- [0..i-1]]) - | i < j = - (((m !!! (i,j)) - sum [(r k i) NP.* (r k j) | k <- [0..i-1]]))/(r i i) - | otherwise = 0 + f :: Int -> Int -> (Mat m m a) -> a -> (Mat m m a) + f i j cur_R _ = set_idx cur_R (i,j) (r cur_R i j) + + r :: (Mat m m a) -> Int -> Int -> a + r cur_R i j + | i == j = sqrt(m !!! (i,j) - sum [(cur_R !!! (k,i))^2 | k <- [0..i-1]]) + | i < j = (((m !!! (i,j)) + - sum [(cur_R !!! (k,i)) NP.* (cur_R !!! (k,j)) + | k <- [0..i-1]]))/(cur_R !!! (i,i)) + | otherwise = 0 + -- | Returns True if the given matrix is upper-triangular, and False @@ -582,8 +617,8 @@ instance (Absolute.C a, Algebraic.C a, ToRational.C a, Arity m) - => Normed (Col (S m) a) where - -- | Generic p-norms for vectors in R^n that are represented as n-by-1 + => Normed (Col m a) where + -- | Generic p-norms for vectors in R^m that are represented as m-by-1 -- matrices. -- -- Examples: @@ -598,6 +633,10 @@ instance (Absolute.C a, -- >>> norm_p 1 v1 :: Double -- 2.0 -- + -- >>> let v1 = vec0d :: Col0 Double + -- >>> norm v1 + -- 0.0 + -- norm_p p (Mat rows) = (root p') $ sum [fromRational' (toRational $ abs x)^p' | x <- xs] where @@ -613,7 +652,8 @@ instance (Absolute.C a, -- 5 -- norm_infty (Mat rows) = - fromRational' $ toRational $ V.maximum $ V.map V.maximum rows + fromRational' $ toRational + $ (V.foldl P.max 0) $ V.map (V.foldl P.max 0) rows -- | Compute the Frobenius norm of a matrix. This essentially treats @@ -658,6 +698,9 @@ frobenius_norm matrix = -- >>> fixed_point g eps u0 -- ((1.0728549599342185),(1.0820591495686167)) -- +vec0d :: Col0 a +vec0d = Mat mk0 + vec1d :: (a) -> Col1 a vec1d (x) = Mat (mk1 (mk1 x))