| // 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 EIGEN_SVD_MODULE_H | |
| #define EIGEN_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 <Eigen/SVD> | |
| * \endcode | |
| */ | |
| #include "src/misc/RealSvd2x2.h" | |
| #include "src/SVD/UpperBidiagonalization.h" | |
| #include "src/SVD/SVDBase.h" | |
| #include "src/SVD/JacobiSVD.h" | |
| #include "src/SVD/BDCSVD.h" | |
| #ifdef EIGEN_USE_LAPACKE | |
| #ifdef EIGEN_USE_MKL | |
| #include "mkl_lapacke.h" | |
| #else | |
| #include "src/misc/lapacke.h" | |
| #endif | |
| #ifndef EIGEN_USE_LAPACKE_STRICT | |
| #include "src/SVD/JacobiSVD_LAPACKE.h" | |
| #endif | |
| #include "src/SVD/BDCSVD_LAPACKE.h" | |
| #endif | |
| #include "src/Core/util/ReenableStupidWarnings.h" | |
| #endif // EIGEN_SVD_MODULE_H |