| // 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 |
| */ |
| |
| // IWYU pragma: begin_exports |
| #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 |
| // IWYU pragma: end_exports |
| |
| #include "src/Core/util/ReenableStupidWarnings.h" |
| |
| #endif // EIGEN_SVD_MODULE_H |
