2008-08-20 04:18:46 +08:00
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#ifndef EIGEN_SVD_MODULE_H
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#define EIGEN_SVD_MODULE_H
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2009-09-02 18:36:55 +08:00
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#include "QR"
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2009-08-09 22:58:13 +08:00
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#include "Householder"
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#include "Jacobi"
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2008-08-20 04:18:46 +08:00
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2011-02-22 22:31:22 +08:00
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#include "src/Core/util/DisableStupidWarnings.h"
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2008-12-19 04:48:02 +08:00
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2008-08-20 04:18:46 +08:00
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/** \defgroup SVD_Module SVD module
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2009-01-26 21:53:43 +08:00
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*
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2010-06-29 22:10:47 +08:00
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*
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2009-01-26 21:53:43 +08:00
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*
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2012-01-26 21:16:50 +08:00
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* This module provides SVD decomposition for matrices (both real and complex).
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2014-10-29 18:29:33 +08:00
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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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2012-01-26 21:16:50 +08:00
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* - MatrixBase::jacobiSvd()
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2014-10-29 18:29:33 +08:00
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* - MatrixBase::bdcSvd()
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2008-08-20 04:18:46 +08:00
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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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2014-10-29 18:29:33 +08:00
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#include "src/SVD/UpperBidiagonalization.h"
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2014-09-02 00:16:20 +08:00
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#include "src/SVD/SVDBase.h"
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2009-09-01 10:26:15 +08:00
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#include "src/SVD/JacobiSVD.h"
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2014-10-29 18:29:33 +08:00
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#include "src/SVD/BDCSVD.h"
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2011-12-09 23:52:37 +08:00
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#if defined(EIGEN_USE_LAPACKE) && !defined(EIGEN_USE_LAPACKE_STRICT)
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2011-12-05 15:52:21 +08:00
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#include "src/SVD/JacobiSVD_MKL.h"
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#endif
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2008-08-20 04:18:46 +08:00
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2011-02-22 22:31:22 +08:00
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#include "src/Core/util/ReenableStupidWarnings.h"
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2008-12-19 04:48:02 +08:00
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2008-08-20 04:18:46 +08:00
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#endif // EIGEN_SVD_MODULE_H
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2009-12-02 07:00:29 +08:00
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/* vim: set filetype=cpp et sw=2 ts=2 ai: */
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