/usr/include/CGAL/Eigen_svd.h is in libcgal-dev 4.2-5ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | // Copyright (c) 2012 INRIA Bordeaux Sud-Ouest (France), All rights reserved.
//
// This file is part of CGAL (www.cgal.org); you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 3 of the License,
// or (at your option) any later version.
//
// Licensees holding a valid commercial license may use this file in
// accordance with the commercial license agreement provided with the software.
//
// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
//
// $URL$
// $Id$
//
// Author(s) : Gael Guennebaud
#ifndef CGAL_EIGEN_SVD_H
#define CGAL_EIGEN_SVD_H
#include <boost/config.hpp>
#if defined(BOOST_MSVC)
# pragma warning(push)
# pragma warning(disable:4244)
#endif
#include <CGAL/Eigen_matrix.h>
#include <CGAL/Eigen_vector.h>
#include <Eigen/SVD>
namespace CGAL {
class Eigen_svd{
public:
typedef double FT;
typedef Eigen_vector<FT> Vector;
typedef Eigen_matrix<FT> Matrix;
//solve MX=B using SVD and return the condition number of M
//The solution is stored in B
static FT solve(const Matrix& M, Vector& B){
Eigen::JacobiSVD<Matrix::EigenType> jacobiSvd(M.eigen_object(),::Eigen::ComputeThinU | ::Eigen::ComputeThinV);
B.eigen_object()=jacobiSvd.solve(Vector::EigenType(B.eigen_object()));
return jacobiSvd.singularValues().array().abs().maxCoeff()/
jacobiSvd.singularValues().array().abs().minCoeff();
}
};
}//namespace CGAL
#if defined(BOOST_MSVC)
# pragma warning(pop)
#endif
#endif // CGAL_EIGEN_SVD_H
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