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source: branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Eigen/Eigen/PaStiXSupport @ 10151

Last change on this file since 10151 was 9562, checked in by gkronber, 11 years ago

#1967 worked on Gaussian process evolution.

File size: 1.4 KB
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[9562]1#ifndef EIGEN_PASTIXSUPPORT_MODULE_H
2#define EIGEN_PASTIXSUPPORT_MODULE_H
3
4#include "SparseCore"
5
6#include "src/Core/util/DisableStupidWarnings.h"
7
8#include <complex.h>
9extern "C" {
10#include <pastix_nompi.h>
11#include <pastix.h>
12}
13
14#ifdef complex
15#undef complex
16#endif
17
18/** \ingroup Support_modules
19  * \defgroup PaStiXSupport_Module PaStiXSupport module
20  *
21  * This module provides an interface to the <a href="http://pastix.gforge.inria.fr/">PaSTiX</a> library.
22  * PaSTiX is a general \b supernodal, \b parallel and \b opensource sparse solver.
23  * It provides the two following main factorization classes:
24  * - class PastixLLT : a supernodal, parallel LLt Cholesky factorization.
25  * - class PastixLDLT: a supernodal, parallel LDLt Cholesky factorization.
26  * - class PastixLU : a supernodal, parallel LU factorization (optimized for a symmetric pattern).
27  *
28  * \code
29  * #include <Eigen/PaStiXSupport>
30  * \endcode
31  *
32  * In order to use this module, the PaSTiX headers must be accessible from the include paths, and your binary must be linked to the PaSTiX library and its dependencies.
33  * The dependencies depend on how PaSTiX has been compiled.
34  * For a cmake based project, you can use our FindPaSTiX.cmake module to help you in this task.
35  *
36  */
37
38#include "src/misc/Solve.h"
39#include "src/misc/SparseSolve.h"
40
41#include "src/PaStiXSupport/PaStiXSupport.h"
42
43
44#include "src/Core/util/ReenableStupidWarnings.h"
45
46#endif // EIGEN_PASTIXSUPPORT_MODULE_H
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