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- 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)
41 lines
1.6 KiB
Plaintext
41 lines
1.6 KiB
Plaintext
#ifndef EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
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#define EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
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#include "SparseCore"
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#include "OrderingMethods"
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#include "src/Core/util/DisableStupidWarnings.h"
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/**
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* \defgroup IterativeLinearSolvers_Module IterativeLinearSolvers module
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*
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* 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.
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* Those solvers are accessible via the following classes:
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* - ConjugateGradient for selfadjoint (hermitian) matrices,
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* - BiCGSTAB for general square matrices.
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*
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* These iterative solvers are associated with some preconditioners:
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* - IdentityPreconditioner - not really useful
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* - DiagonalPreconditioner - also called JAcobi preconditioner, work very well on diagonal dominant matrices.
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* - IncompleteILUT - 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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*
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* \code
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* #include <Eigen/IterativeLinearSolvers>
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* \endcode
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*/
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#include "src/misc/Solve.h"
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#include "src/misc/SparseSolve.h"
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#include "src/IterativeLinearSolvers/IterativeSolverBase.h"
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#include "src/IterativeLinearSolvers/BasicPreconditioners.h"
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#include "src/IterativeLinearSolvers/ConjugateGradient.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/Core/util/ReenableStupidWarnings.h"
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#endif // EIGEN_ITERATIVELINEARSOLVERS_MODULE_H
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