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authorAlberto Ruiz <aruiz@um.es>2015-07-13 12:00:09 +0200
committerAlberto Ruiz <aruiz@um.es>2015-07-13 12:00:09 +0200
commita3b28fdf0b6a335b4905c25413cf82438383319e (patch)
treeaf1bc27333e57b426858005b5f6dd1358b5d0c0f /packages/base/src
parentb4873dbd201e0e887fb9cb5b5fe55774fa6fbe78 (diff)
minor doc changes
Diffstat (limited to 'packages/base/src')
-rw-r--r--packages/base/src/Numeric/LinearAlgebra.hs12
1 files changed, 4 insertions, 8 deletions
diff --git a/packages/base/src/Numeric/LinearAlgebra.hs b/packages/base/src/Numeric/LinearAlgebra.hs
index 9cab635..9a924e0 100644
--- a/packages/base/src/Numeric/LinearAlgebra.hs
+++ b/packages/base/src/Numeric/LinearAlgebra.hs
@@ -13,7 +13,7 @@ Stability : provisional
13----------------------------------------------------------------------------- 13-----------------------------------------------------------------------------
14module Numeric.LinearAlgebra ( 14module Numeric.LinearAlgebra (
15 15
16 -- * Basic Types and data manipulation 16 -- * Basic types and data manipulation
17 -- | This package works with 2D ('Matrix') and 1D ('Vector') 17 -- | This package works with 2D ('Matrix') and 1D ('Vector')
18 -- arrays of real ('R') or complex ('C') double precision numbers. 18 -- arrays of real ('R') or complex ('C') double precision numbers.
19 -- Single precision and machine integers are also supported for 19 -- Single precision and machine integers are also supported for
@@ -78,7 +78,7 @@ module Numeric.LinearAlgebra (
78 scale, 78 scale,
79 sumElements, prodElements, 79 sumElements, prodElements,
80 80
81 -- * Linear Systems 81 -- * Linear systems
82 (<\>), 82 (<\>),
83 linearSolve, 83 linearSolve,
84 linearSolveLS, 84 linearSolveLS,
@@ -105,14 +105,14 @@ module Numeric.LinearAlgebra (
105 orth, 105 orth,
106 nullspace, null1, null1sym, 106 nullspace, null1, null1sym,
107 107
108 -- * SVD 108 -- * Singular value decomposition
109 svd, 109 svd,
110 thinSVD, 110 thinSVD,
111 compactSVD, 111 compactSVD,
112 singularValues, 112 singularValues,
113 leftSV, rightSV, 113 leftSV, rightSV,
114 114
115 -- * Eigensystems 115 -- * Eigendecomposition
116 eig, eigSH, eigSH', 116 eig, eigSH, eigSH',
117 eigenvalues, eigenvaluesSH, eigenvaluesSH', 117 eigenvalues, eigenvaluesSH, eigenvaluesSH',
118 geigSH', 118 geigSH',
@@ -206,10 +206,6 @@ import Internal.Conversion
206(<>) = mXm 206(<>) = mXm
207infixr 8 <> 207infixr 8 <>
208 208
209-- | dense matrix product
210mul :: Numeric t => Matrix t -> Matrix t -> Matrix t
211mul = mXm
212
213 209
214{- | Solve a linear system (for square coefficient matrix and several right-hand sides) using the LU decomposition, returning Nothing for a singular system. For underconstrained or overconstrained systems use 'linearSolveLS' or 'linearSolveSVD'. 210{- | Solve a linear system (for square coefficient matrix and several right-hand sides) using the LU decomposition, returning Nothing for a singular system. For underconstrained or overconstrained systems use 'linearSolveLS' or 'linearSolveSVD'.
215 211