// 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 "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/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"
#elif defined(EIGEN_LAPACKE_SYSTEM)
#include <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