From d0f6b1c21f062f0ab4dd78e8f82fd43c393fb865 Mon Sep 17 00:00:00 2001 From: Jitse Niesen Date: Thu, 22 Jul 2010 21:52:04 +0100 Subject: [PATCH] Tutorial page 6: Fix typo, add table of contents. --- doc/C06_TutorialLinearAlgebra.dox | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/doc/C06_TutorialLinearAlgebra.dox b/doc/C06_TutorialLinearAlgebra.dox index c471a6d04..3e436d393 100644 --- a/doc/C06_TutorialLinearAlgebra.dox +++ b/doc/C06_TutorialLinearAlgebra.dox @@ -10,6 +10,16 @@ This tutorial explains how to solve linear systems, compute various decompositio QR, %SVD, eigendecompositions... for more advanced topics, don't miss our special page on \ref TopicLinearAlgebraDecompositions "this topic". +\b Table \b of \b contents + - \ref TutorialLinAlgBasicSolve + - \ref TutorialLinAlgSolutionExists + - \ref TutorialLinAlgEigensolving + - \ref TutorialLinAlgInverse + - \ref TutorialLinAlgLeastsquares + - \ref TutorialLinAlgSeparateComputation + - \ref TutorialLinAlgRankRevealing + + \section TutorialLinAlgBasicSolve Basic linear solving \b The \b problem: You have a system of equations, that you have written as a single matrix equation @@ -147,7 +157,7 @@ SelfAdjointEigenSolver, it could easily be adapted to general matrices using Eig -\section TutorialLinAlgEigensolving Computing inverse and determinant +\section TutorialLinAlgInverse Computing inverse and determinant First of all, make sure that you really want this. While inverse and determinant are fundamental mathematical concepts, in \em numerical linear algebra they are not as popular as in pure mathematics. Inverse computations are often