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source: branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Eigen/Eigen/SparseCholesky @ 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: 872 bytes
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1#ifndef EIGEN_SPARSECHOLESKY_MODULE_H
2#define EIGEN_SPARSECHOLESKY_MODULE_H
3
4#include "SparseCore"
5
6#include "src/Core/util/DisableStupidWarnings.h"
7
8/** \ingroup Sparse_modules
9  * \defgroup SparseCholesky_Module SparseCholesky module
10  *
11  * This module currently provides two variants of the direct sparse Cholesky decomposition for selfadjoint (hermitian) matrices.
12  * Those decompositions are accessible via the following classes:
13  *  - SimplicialLLt,
14  *  - SimplicialLDLt
15  *
16  * Such problems can also be solved using the ConjugateGradient solver from the IterativeLinearSolvers module.
17  *
18  * \code
19  * #include <Eigen/SparseCholesky>
20  * \endcode
21  */
22
23#include "src/misc/Solve.h"
24#include "src/misc/SparseSolve.h"
25
26#include "src/SparseCholesky/SimplicialCholesky.h"
27
28#include "src/Core/util/ReenableStupidWarnings.h"
29
30#endif // EIGEN_SPARSECHOLESKY_MODULE_H
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