1// This file is part of Eigen, a lightweight C++ template library 2// for linear algebra. 3// 4// This Source Code Form is subject to the terms of the Mozilla 5// Public License v. 2.0. If a copy of the MPL was not distributed 6// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 7 8#ifndef EIGEN_SVD_MODULE_H 9#define EIGEN_SVD_MODULE_H 10 11#include "QR" 12#include "Householder" 13#include "Jacobi" 14 15#include "src/Core/util/DisableStupidWarnings.h" 16 17/** \defgroup SVD_Module SVD module 18 * 19 * 20 * 21 * This module provides SVD decomposition for matrices (both real and complex). 22 * Two decomposition algorithms are provided: 23 * - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones. 24 * - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems. 25 * These decompositions are accessible via the respective classes and following MatrixBase methods: 26 * - MatrixBase::jacobiSvd() 27 * - MatrixBase::bdcSvd() 28 * 29 * \code 30 * #include <Eigen/SVD> 31 * \endcode 32 */ 33 34#include "src/misc/RealSvd2x2.h" 35#include "src/SVD/UpperBidiagonalization.h" 36#include "src/SVD/SVDBase.h" 37#include "src/SVD/JacobiSVD.h" 38#include "src/SVD/BDCSVD.h" 39#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT) 40#include "src/misc/lapacke.h" 41#include "src/SVD/JacobiSVD_LAPACKE.h" 42#endif 43 44#include "src/Core/util/ReenableStupidWarnings.h" 45 46#endif // EIGEN_SVD_MODULE_H 47/* vim: set filetype=cpp et sw=2 ts=2 ai: */ 48