mirror of https://github.com/CGAL/cgal
61 lines
1.6 KiB
C++
61 lines
1.6 KiB
C++
// Copyright (c) 2012 INRIA Bordeaux Sud-Ouest (France), All rights reserved.
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//
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// This file is part of CGAL (www.cgal.org); you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public License as
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// published by the Free Software Foundation; either version 3 of the License,
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// or (at your option) any later version.
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//
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// Licensees holding a valid commercial license may use this file in
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// accordance with the commercial license agreement provided with the software.
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//
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// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
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// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
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//
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// $URL$
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// $Id$
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//
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// Author(s) : Gael Guennebaud
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#ifndef CGAL_EIGEN_SVD_H
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#define CGAL_EIGEN_SVD_H
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#include <boost/config.hpp>
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#if defined(BOOST_MSVC)
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# pragma warning(push)
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# pragma warning(disable:4244)
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#endif
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#include <CGAL/Eigen_matrix.h>
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#include <CGAL/Eigen_vector.h>
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#include <Eigen/SVD>
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namespace CGAL {
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class Eigen_svd{
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public:
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typedef double FT;
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typedef Eigen_vector<FT> Vector;
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typedef Eigen_matrix<FT> Matrix;
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//solve MX=B using SVD and return the condition number of M
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//The solution is stored in B
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static FT solve(const Matrix& M, Vector& B){
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Eigen::JacobiSVD<Matrix::EigenType> jacobiSvd(M.eigen_object(),::Eigen::ComputeThinU | ::Eigen::ComputeThinV);
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B.eigen_object()=jacobiSvd.solve(Vector::EigenType(B.eigen_object()));
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return jacobiSvd.singularValues().array().abs().maxCoeff()/
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jacobiSvd.singularValues().array().abs().minCoeff();
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}
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};
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}//namespace CGAL
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#if defined(BOOST_MSVC)
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# pragma warning(pop)
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#endif
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#endif // CGAL_EIGEN_SVD_H
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