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// This file is part of Eigen, a lightweight C++ template library// for linear algebra.//// 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 STORMEIGEN_SVD_MODULE_H#define STORMEIGEN_SVD_MODULE_H
#include "QR"#include "Householder"#include "Jacobi"
#include "src/Core/util/DisableStupidWarnings.h"
/** \defgroup SVD_Module SVD module * * * * This module provides SVD decomposition for matrices (both real and complex). * Two decomposition algorithms are provided: * - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones. * - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems. * These decompositions are accessible via the respective classes and following MatrixBase methods: * - MatrixBase::jacobiSvd() * - MatrixBase::bdcSvd() * * \code * #include <StormEigen/SVD> * \endcode */
#include "src/SVD/UpperBidiagonalization.h"#include "src/SVD/SVDBase.h"#include "src/SVD/JacobiSVD.h"#include "src/SVD/BDCSVD.h"#if defined(STORMEIGEN_USE_LAPACKE) && !defined(STORMEIGEN_USE_LAPACKE_STRICT)#include "src/SVD/JacobiSVD_MKL.h"#endif
#include "src/Core/util/ReenableStupidWarnings.h"
#endif // STORMEIGEN_SVD_MODULE_H/* vim: set filetype=cpp et sw=2 ts=2 ai: */
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