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author | Shashank | 2017-05-29 12:40:26 +0530 |
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committer | Shashank | 2017-05-29 12:40:26 +0530 |
commit | 0345245e860375a32c9a437c4a9d9cae807134e9 (patch) | |
tree | ad51ecbfa7bcd3cc5f09834f1bb8c08feaa526a4 /usr/include/Eigen/SparseCholesky | |
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CMSCOPE changed
Diffstat (limited to 'usr/include/Eigen/SparseCholesky')
-rwxr-xr-x | usr/include/Eigen/SparseCholesky | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/usr/include/Eigen/SparseCholesky b/usr/include/Eigen/SparseCholesky new file mode 100755 index 000000000..9f5056aa1 --- /dev/null +++ b/usr/include/Eigen/SparseCholesky @@ -0,0 +1,47 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2008-2013 Gael Guennebaud <gael.guennebaud@inria.fr> +// +// This Source Code Form is subject to the terms of the Mozilla +// Public License v. 2.0. If a copy of the MPL was not distributed +// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. + +#ifndef EIGEN_SPARSECHOLESKY_MODULE_H +#define EIGEN_SPARSECHOLESKY_MODULE_H + +#include "SparseCore" +#include "OrderingMethods" + +#include "src/Core/util/DisableStupidWarnings.h" + +/** + * \defgroup SparseCholesky_Module SparseCholesky module + * + * This module currently provides two variants of the direct sparse Cholesky decomposition for selfadjoint (hermitian) matrices. + * Those decompositions are accessible via the following classes: + * - SimplicialLLt, + * - SimplicialLDLt + * + * Such problems can also be solved using the ConjugateGradient solver from the IterativeLinearSolvers module. + * + * \code + * #include <Eigen/SparseCholesky> + * \endcode + */ + +#ifdef EIGEN_MPL2_ONLY +#error The SparseCholesky module has nothing to offer in MPL2 only mode +#endif + +#include "src/misc/Solve.h" +#include "src/misc/SparseSolve.h" +#include "src/SparseCholesky/SimplicialCholesky.h" + +#ifndef EIGEN_MPL2_ONLY +#include "src/SparseCholesky/SimplicialCholesky_impl.h" +#endif + +#include "src/Core/util/ReenableStupidWarnings.h" + +#endif // EIGEN_SPARSECHOLESKY_MODULE_H |