/* * EigenPlugin.hpp, part of LatAnalyze * * Copyright (C) 2015 Antonin Portelli * * LatAnalyze is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * LatAnalyze 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 General Public License for more details. * * You should have received a copy of the GNU General Public License * along with LatAnalyze. If not, see . */ Derived pInverse(const double tolerance = 1.0e-10) const { auto svd = jacobiSvd(Eigen::ComputeThinU|Eigen::ComputeThinV); const auto u = svd.matrixU(); const auto v = svd.matrixV(); auto s = svd.singularValues(); double maxsv = 0.; unsigned int elim = 0; for (Index i = 0; i < s.rows(); ++i) { if (fabs(s(i)) > maxsv) maxsv = fabs(s(i)); } for (Index i = 0; i < s.rows(); ++i) { if (fabs(s(i)) > maxsv*tolerance) { s(i) = 1./s(i); } else { elim++; s(i) = 0.; } } if (elim) { std::cerr << "warning: pseudoinverse: " << elim << "/"; std::cerr << s.rows() << " singular value(s) eliminated (tolerance= "; std::cerr << tolerance << ")" << std::endl; } return v*s.asDiagonal()*u.transpose(); } Derived singularValues(void) const { auto svd = jacobiSvd(); return svd.singularValues(); }