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#ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
#define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
#include "SparseCore"
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#include "OrderingMethods"
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#include "src/Core/util/DisableStupidWarnings.h"
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Big changes in Eigen documentation:
- Organize the documentation into "chapters".
- Each chapter include many documentation pages, reference pages organized as modules, and a quick reference page.
- The "Chapters" tree is created using the defgroup/ingroup mechanism, even for the documentation pages (i.e., .dox files for which I added an \eigenManualPage macro that we can switch between \page or \defgroup ).
- Add a "General topics" entry for all pages that do not fit well in the previous "chapters".
- The highlevel struture is managed by a new eigendoxy_layout.xml file.
- remove the "index" and quite useless pages (namespace list, class hierarchy, member list, file list, etc.)
- add the javascript search-engine.
- add the "treeview" panel.
- remove \tableofcontents (replace them by a custom \eigenAutoToc macro to be able to easily re-enable if needed).
- add javascript to automatically generate a TOC from the h1/h2 tags of the current page, and put the TOC in the left side panel.
- overload various javascript function generated by doxygen to:
- remove the root of the treeview
- remove links to section/subsection from the treeview
- automatically expand the "Chapters" section
- automatically expand the current section
- adjust the height of the treeview to take into account the TOC
- always use the default .css file, eigendoxy.css now only includes our modifications
- use Doxyfile to specify our logo
- remove cross references to unsupported modules (temporarily)
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/**
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* \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module
*
* This module currently provides iterative methods to solve problems of the form \c A \c x = \c b, where \c A is a squared matrix, usually very large and sparse.
* Those solvers are accessible via the following classes:
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* - ConjugateGradient for selfadjoint (hermitian) matrices,
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* - LeastSquaresConjugateGradient for rectangular least-square problems,
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* - BiCGSTAB for general square matrices.
*
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* These iterative solvers are associated with some preconditioners:
* - IdentityPreconditioner - not really useful
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* - DiagonalPreconditioner - also called Jacobi preconditioner, work very well on diagonal dominant matrices.
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* - IncompleteLUT - incomplete LU factorization with dual thresholding
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*
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* Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport.
*
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\code
#include <Eigen/IterativeLinearSolvers>
\endcode
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*/
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#include "src/IterativeLinearSolvers/SolveWithGuess.h"
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#include "src/IterativeLinearSolvers/IterativeSolverBase.h"
#include "src/IterativeLinearSolvers/BasicPreconditioners.h"
#include "src/IterativeLinearSolvers/ConjugateGradient.h"
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#include "src/IterativeLinearSolvers/LeastSquareConjugateGradient.h"
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#include "src/IterativeLinearSolvers/BiCGSTAB.h"
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#include "src/IterativeLinearSolvers/IncompleteLUT.h"
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#include "src/IterativeLinearSolvers/IncompleteCholesky.h"
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#include "src/Core/util/ReenableStupidWarnings.h"
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#endif // EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
