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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 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"
- #if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
- #ifdef EIGEN_USE_MKL
- #include "mkl_lapacke.h"
- #else
- #include "src/misc/lapacke.h"
- #endif
- #include "src/SVD/JacobiSVD_LAPACKE.h"
- #endif
- #include "src/Core/util/ReenableStupidWarnings.h"
- #endif // EIGEN_SVD_MODULE_H
- /* vim: set filetype=cpp et sw=2 ts=2 ai: */
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