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