Warning, /include/eigen3/Eigen/SVD is written in an unsupported language. File is not indexed.
0001 // This file is part of Eigen, a lightweight C++ template library
0002 // for linear algebra.
0003 //
0004 // This Source Code Form is subject to the terms of the Mozilla
0005 // Public License v. 2.0. If a copy of the MPL was not distributed
0006 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
0007
0008 #ifndef EIGEN_SVD_MODULE_H
0009 #define EIGEN_SVD_MODULE_H
0010
0011 #include "QR"
0012 #include "Householder"
0013 #include "Jacobi"
0014
0015 #include "src/Core/util/DisableStupidWarnings.h"
0016
0017 /** \defgroup SVD_Module SVD module
0018 *
0019 *
0020 *
0021 * This module provides SVD decomposition for matrices (both real and complex).
0022 * Two decomposition algorithms are provided:
0023 * - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones.
0024 * - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems.
0025 * These decompositions are accessible via the respective classes and following MatrixBase methods:
0026 * - MatrixBase::jacobiSvd()
0027 * - MatrixBase::bdcSvd()
0028 *
0029 * \code
0030 * #include <Eigen/SVD>
0031 * \endcode
0032 */
0033
0034 #include "src/misc/RealSvd2x2.h"
0035 #include "src/SVD/UpperBidiagonalization.h"
0036 #include "src/SVD/SVDBase.h"
0037 #include "src/SVD/JacobiSVD.h"
0038 #include "src/SVD/BDCSVD.h"
0039 #if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
0040 #ifdef EIGEN_USE_MKL
0041 #include "mkl_lapacke.h"
0042 #else
0043 #include "src/misc/lapacke.h"
0044 #endif
0045 #include "src/SVD/JacobiSVD_LAPACKE.h"
0046 #endif
0047
0048 #include "src/Core/util/ReenableStupidWarnings.h"
0049
0050 #endif // EIGEN_SVD_MODULE_H
