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source: branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Eigen/Eigen/CholmodSupport @ 9573

Last change on this file since 9573 was 9562, checked in by gkronber, 12 years ago

#1967 worked on Gaussian process evolution.

File size: 1.7 KB
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1#ifndef EIGEN_CHOLMODSUPPORT_MODULE_H
2#define EIGEN_CHOLMODSUPPORT_MODULE_H
3
4#include "SparseCore"
5
6#include "src/Core/util/DisableStupidWarnings.h"
7
8extern "C" {
9  #include <cholmod.h>
10}
11
12/** \ingroup Support_modules
13  * \defgroup CholmodSupport_Module CholmodSupport module
14  *
15  * This module provides an interface to the Cholmod library which is part of the <a href="http://www.cise.ufl.edu/research/sparse/SuiteSparse/">suitesparse</a> package.
16  * It provides the two following main factorization classes:
17  * - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
18  * - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit runtime selection of the underlying factorization method (supernodal or simplicial).
19  *
20  * For the sake of completeness, this module also propose the two following classes:
21  * - class CholmodSimplicialLLT
22  * - class CholmodSimplicialLDLT
23  * Note that these classes does not bring any particular advantage compared to the built-in
24  * SimplicialLLT and SimplicialLDLT factorization classes.
25  *
26  * \code
27  * #include <Eigen/CholmodSupport>
28  * \endcode
29  *
30  * In order to use this module, the cholmod headers must be accessible from the include paths, and your binary must be linked to the cholmod library and its dependencies.
31  * The dependencies depend on how cholmod has been compiled.
32  * For a cmake based project, you can use our FindCholmod.cmake module to help you in this task.
33  *
34  */
35
36#include "src/misc/Solve.h"
37#include "src/misc/SparseSolve.h"
38
39#include "src/CholmodSupport/CholmodSupport.h"
40
41
42#include "src/Core/util/ReenableStupidWarnings.h"
43
44#endif // EIGEN_CHOLMODSUPPORT_MODULE_H
45
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