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							47 lines
						
					
					
						
							1.5 KiB
						
					
					
				| // This file is part of Eigen, a lightweight C++ template library
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| // for linear algebra.
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| //
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| // This Source Code Form is subject to the terms of the Mozilla
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| // Public License v. 2.0. If a copy of the MPL was not distributed
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| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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| 
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| #ifndef EIGEN_SVD_MODULE_H
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| #define EIGEN_SVD_MODULE_H
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| 
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| #include "QR"
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| #include "Householder"
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| #include "Jacobi"
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| 
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| #include "src/Core/util/DisableStupidWarnings.h"
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| 
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| /** \defgroup SVD_Module SVD module
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|   *
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|   *
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|   *
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|   * This module provides SVD decomposition for matrices (both real and complex).
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|   * Two decomposition algorithms are provided:
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|   *  - JacobiSVD implementing two-sided Jacobi iterations is numerically very accurate, fast for small matrices, but very slow for larger ones.
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|   *  - BDCSVD implementing a recursive divide & conquer strategy on top of an upper-bidiagonalization which remains fast for large problems.
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|   * These decompositions are accessible via the respective classes and following MatrixBase methods:
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|   *  - MatrixBase::jacobiSvd()
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|   *  - MatrixBase::bdcSvd()
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|   *
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|   * \code
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|   * #include <Eigen/SVD>
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|   * \endcode
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|   */
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| 
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| #include "src/misc/RealSvd2x2.h"
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| #include "src/SVD/UpperBidiagonalization.h"
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| #include "src/SVD/SVDBase.h"
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| #include "src/SVD/JacobiSVD.h"
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| #include "src/SVD/BDCSVD.h"
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| #if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
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| #include "src/misc/lapacke.h"
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| #include "src/SVD/JacobiSVD_LAPACKE.h"
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| #endif
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| 
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| #include "src/Core/util/ReenableStupidWarnings.h"
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| 
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| #endif // EIGEN_SVD_MODULE_H
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| /* vim: set filetype=cpp et sw=2 ts=2 ai: */
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| 
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