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69
kdl_install/include/kdl/utilities/svd_eigen_HH.hpp
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69
kdl_install/include/kdl/utilities/svd_eigen_HH.hpp
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// Copyright (C) 2007 Ruben Smits <ruben dot smits at mech dot kuleuven dot be>
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// Version: 1.0
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// Author: Ruben Smits <ruben dot smits at mech dot kuleuven dot be>
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// Maintainer: Ruben Smits <ruben dot smits at mech dot kuleuven dot be>
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// URL: http://www.orocos.org/kdl
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// This library is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 2.1 of the License, or (at your option) any later version.
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// This library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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// Lesser General Public License for more details.
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// You should have received a copy of the GNU Lesser General Public
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// License along with this library; if not, write to the Free Software
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// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
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//Based on the svd of the KDL-0.2 library by Erwin Aertbelien
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#ifndef SVD_EIGEN_HH_HPP
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#define SVD_EIGEN_HH_HPP
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#include <Eigen/Core>
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#include <algorithm>
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namespace KDL
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{
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inline double PYTHAG(double a,double b) {
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double at,bt,ct;
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at = fabs(a);
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bt = fabs(b);
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if (at > bt ) {
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ct=bt/at;
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return at*sqrt(1.0+ct*ct);
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} else {
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if (bt==0)
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return 0.0;
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else {
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ct=at/bt;
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return bt*sqrt(1.0+ct*ct);
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}
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}
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}
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inline double SIGN(double a,double b) {
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return ((b) >= 0.0 ? fabs(a) : -fabs(a));
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}
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/**
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* svd calculation of eigen matrices
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*
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* @param A matrix<double>(mxn)
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* @param U matrix<double>(mxn)
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* @param S vector<double> n
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* @param V matrix<double>(nxn)
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* @param tmp vector<double> n
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* @param maxiter defaults to 150
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*
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* @return -2 if maxiter exceeded, 0 otherwise
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*/
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int svd_eigen_HH(const Eigen::MatrixXd& A,Eigen::MatrixXd& U,Eigen::VectorXd& S,Eigen::MatrixXd& V,Eigen::VectorXd& tmp,int maxiter=150,double epsilon=1e-300);
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}
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#endif
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