----------------------------------------------------------------------------- -- | -- Module : DSP.Matrix.Matrix -- Copyright : (c) Matthew Donadio 2003 -- License : GPL -- -- Maintainer : m.p.donadio@ieee.org -- Stability : experimental -- Portability : portable -- -- Basic matrix routines -- ----------------------------------------------------------------------------- module Matrix.Matrix where import Matrix.Vector (generate) import Data.Array import Data.Complex -- | Matrix-matrix multiplication: A x B = C mm_mult :: (Ix i, Ix j, Ix k, Num a) => Array (i,j) a -- ^ A -> Array (j,k) a -- ^ B -> Array (i,k) a -- ^ C mm_mult a b = if (ac0,ac1) /= (br0,br1) then error "mm_mult: inside dimensions inconsistent" else generate ((ar0,bc0),(ar1,bc1)) $ \(i,j) -> sum [ a!(i,k) * b!(k,j) | k <- range (ac0,ac1) ] where ((ar0,ac0),(ar1,ac1)) = bounds a ((br0,bc0),(br1,bc1)) = bounds b -- | Matrix-vector multiplication: A x b = c mv_mult :: (Ix i, Ix j, Num a) => Array (i,j) a -- ^ A -> Array j a -- ^ b -> Array i a -- ^ c mv_mult a b = if (ac0,ac1) /= bounds b then error "mv_mult: dimensions inconsistent" else generate (ar0,ar1) $ \i -> sum [ a!(i,k) * bk | (k,bk) <- assocs b ] where ((ar0,ac0),(ar1,ac1)) = bounds a -- | Transpose of a matrix m_trans :: (Ix i, Ix j, Num a) => Array (i,j) a -- ^ A -> Array (j,i) a -- ^ A^T m_trans a = generate ((n0,m0),(n1,m1)) $ \(i,j) -> a!(j,i) where ((m0,n0),(m1,n1)) = bounds a -- | Hermitian transpose (conjugate transpose) of a matrix m_hermit :: (Ix i, Ix j, RealFloat a) => Array (i,j) (Complex a) -- ^ A -> Array (j,i) (Complex a) -- ^ A^H m_hermit a = generate ((n0,m0),(n1,m1)) $ \(i,j) -> conjugate (a!(j,i)) where ((m0,n0),(m1,n1)) = bounds a columnBounds :: (Ix i, Ix j) => Array (i,j) a -> (i,i) columnBounds a = let ((m0,_n0), (m1,_n1)) = bounds a in (m0,m1) rowBounds :: (Ix i, Ix j) => Array (i,j) a -> (j,j) rowBounds a = let ((_m0,n0), (_m1,n1)) = bounds a in (n0,n1) getColumn :: (Ix i, Ix j) => j -> Array (i,j) e -> Array i e getColumn j a = ixmap (columnBounds a) (\k -> (k,j)) a getRow :: (Ix i, Ix j) => i -> Array (i,j) e -> Array j e getRow k a = ixmap (rowBounds a) (\j -> (k,j)) a toColumns :: (Ix i, Ix j) => Array (i,j) a -> [Array i a] toColumns a = map (flip getColumn a) $ range $ rowBounds a toRows :: (Ix i, Ix j) => Array (i,j) a -> [Array j a] toRows a = map (flip getRow a) $ range $ columnBounds a {- | We need the bounds of the row indices for empty input lists. -} fromColumns :: (Ix i) => (i,i) -> [Array i a] -> Array (i,Int) a fromColumns bnds@(m0,m1) columns = if all ((bnds==) . bounds) columns then array ((m0,0), (m1, length columns - 1)) $ concat $ zipWith (\k -> map (\(i,a) -> ((i,k),a)) . assocs) [0..] columns else error "Matrix.fromColumns: column bounds mismatch" fromRows :: (Ix j) => (j,j) -> [Array j a] -> Array (Int,j) a fromRows bnds@(n0,n1) rows = if all ((bnds==) . bounds) rows then array ((0,n0), (length rows - 1, n1)) $ concat $ zipWith (\k -> map (\(i,a) -> ((k,i),a)) . assocs) [0..] rows else error "Matrix.fromRows: row bounds mismatch" outer :: (Ix i, Ix j, Num a) => Array i a -> Array j a -> Array (i,j) a outer x y = let (m0,m1) = bounds x (n0,n1) = bounds y in array ((m0,n0), (m1,n1)) $ do (i,xi) <- assocs x (j,yj) <- assocs y return ((i,j), xi*yj) inner :: (Ix i, Num a) => Array i a -> Array i a -> a inner x y = if bounds x == bounds y then sum $ zipWith (*) (elems x) (elems y) else error "inner: dimensions mismatch"