From a3b28fdf0b6a335b4905c25413cf82438383319e Mon Sep 17 00:00:00 2001 From: Alberto Ruiz Date: Mon, 13 Jul 2015 12:00:09 +0200 Subject: minor doc changes --- packages/base/src/Numeric/LinearAlgebra.hs | 12 ++++-------- 1 file 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 ----------------------------------------------------------------------------- module Numeric.LinearAlgebra ( - -- * Basic Types and data manipulation + -- * Basic types and data manipulation -- | This package works with 2D ('Matrix') and 1D ('Vector') -- arrays of real ('R') or complex ('C') double precision numbers. -- Single precision and machine integers are also supported for @@ -78,7 +78,7 @@ module Numeric.LinearAlgebra ( scale, sumElements, prodElements, - -- * Linear Systems + -- * Linear systems (<\>), linearSolve, linearSolveLS, @@ -105,14 +105,14 @@ module Numeric.LinearAlgebra ( orth, nullspace, null1, null1sym, - -- * SVD + -- * Singular value decomposition svd, thinSVD, compactSVD, singularValues, leftSV, rightSV, - -- * Eigensystems + -- * Eigendecomposition eig, eigSH, eigSH', eigenvalues, eigenvaluesSH, eigenvaluesSH', geigSH', @@ -206,10 +206,6 @@ import Internal.Conversion (<>) = mXm infixr 8 <> --- | dense matrix product -mul :: Numeric t => Matrix t -> Matrix t -> Matrix t -mul = mXm - {- | 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'. -- cgit v1.2.3