/* * NloptMinimizer.cpp, part of LatAnalyze 3 * * Copyright (C) 2013 - 2020 Antonin Portelli * * LatAnalyze 3 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 3 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 3. If not, see . */ #include #include using namespace std; using namespace Latan; /****************************************************************************** * NloptMinimizer implementation * ******************************************************************************/ // constructors //////////////////////////////////////////////////////////////// NloptMinimizer::NloptMinimizer(const Algorithm algorithm) { setAlgorithm(algorithm); der_.setOrder(1, 1); } // access ////////////////////////////////////////////////////////////////////// NloptMinimizer::Algorithm NloptMinimizer::getAlgorithm(void) const { return algorithm_; } void NloptMinimizer::setAlgorithm(const Algorithm algorithm) { algorithm_ = algorithm; } bool NloptMinimizer::supportLimits(void) const { return true; } // minimization //////////////////////////////////////////////////////////////// const DVec & NloptMinimizer::operator()(const DoubleFunction &f) { DVec &x = getState(); // resize minimizer state to match function number of arguments if (f.getNArg() != x.size()) { resize(f.getNArg()); } // create and set minimizer nlopt::opt min(getAlgorithm(), x.size()); NloptFuncData data; vector lb(x.size()), hb(x.size()); min.set_maxeval(getMaxIteration()); min.set_xtol_rel(getPrecision()); min.set_ftol_rel(-1.); der_.setFunction(f); data.f = &f; data.d = &der_; min.set_min_objective(&funcWrapper, &data); for (Index i = 0; i < x.size(); ++i) { lb[i] = hasLowLimit(i) ? getLowLimit(i) : -HUGE_VAL; hb[i] = hasHighLimit(i) ? getHighLimit(i) : HUGE_VAL; } min.set_lower_bounds(lb); min.set_upper_bounds(hb); // minimize double res; vector vx(x.size()); nlopt::result status; unsigned int n = 0; for (Index i = 0; i < x.size(); ++i) { vx[i] = x(i); } do { if (getVerbosity() >= Verbosity::Normal) { cout << "========== NLopt minimization, pass #" << n + 1; cout << " ==========" << endl; cout << "Algorithm: " << min.get_algorithm_name() << endl; cout << "Max eval.= " << min.get_maxeval(); cout << " -- Precision= " << min.get_xtol_rel() << endl; printf("Starting f(x)= %.10e\n", f(x)); } try { status = min.optimize(vx, res); } catch (invalid_argument &e) { LATAN_ERROR(Runtime, "NLopt has reported receving invalid " "arguments (if you are using a global minimizer, did " "you specify limits for all variables?)"); } if (getVerbosity() >= Verbosity::Normal) { printf("Found minimum %.10e at:\n", res); for (Index i = 0; i < x.size(); ++i) { printf("%8s= %.10e\n", f.varName().getName(i).c_str(), vx[i]); } cout << "after " << data.evalCount << " evaluations" << endl; cout << "Minimization ended with code " << status; cout << " (" << returnMessage(status) << ")"; cout << endl; } data.evalCount = 0; for (Index i = 0; i < x.size(); ++i) { x(i) = vx[i]; } n++; } while (!minSuccess(status) and (n < getMaxPass())); if (getVerbosity() >= Verbosity::Normal) { cout << "=================================================" << endl; } if (!minSuccess(status)) { LATAN_WARNING("invalid minimum: " + returnMessage(status)); } return x; } // NLopt return code parser //////////////////////////////////////////////////// string NloptMinimizer::returnMessage(const nlopt::result status) { switch (status) { case nlopt::SUCCESS: return "success"; case nlopt::STOPVAL_REACHED: return "stopping value reached"; case nlopt::FTOL_REACHED: return "tolerance on function reached"; case nlopt::XTOL_REACHED: return "tolerance on variable reached"; case nlopt::MAXEVAL_REACHED: return "maximum function evaluation reached"; case nlopt::MAXTIME_REACHED: return "maximum time reached"; default: return ""; } } // NLopt function wrapper ////////////////////////////////////////////////////// double NloptMinimizer::funcWrapper(unsigned int n, const double *arg, double *grad , void *vdata) { NloptFuncData &data = *static_cast(vdata); if (grad) { for (unsigned int i = 0; i < n; ++i) { data.d->setDir(i); grad[i] = (*(data.d))(arg); } data.evalCount += data.d->getNPoint()*n; } data.evalCount++; return (*data.f)(arg); } // NLopt return status parser ////////////////////////////////////////////////// bool NloptMinimizer::minSuccess(const nlopt::result status) { switch (status) { case nlopt::SUCCESS: case nlopt::FTOL_REACHED: case nlopt::XTOL_REACHED: return true; break; default: return false; break; } }