/*************************************************************************** * optimize.cpp - Illustrates optimizer class usage * * ----------------------------------------------------------------------- * * copyright (C) 2013-2014 by Juergen Knoedlseder * * ----------------------------------------------------------------------- * * * * This program 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. * * * * This program 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 this program. If not, see . * * * ***************************************************************************/ /** * @file optimize.cpp * @brief Illustrates optimizer class usage * @author Juergen Knoedlseder */ /* __ Includes ___________________________________________________________ */ #include "GammaLib.hpp" /***********************************************************************//** * @brief Parabola function * * This code illustrates the definition of a parabola function. ***************************************************************************/ class parabola : public GOptimizerFunction { public: parabola(void) : m_value(0), m_gradient(1), m_curvature(1,1) {} void eval(const GOptimizerPars& pars); double value(void) const { return m_value; } GVector* gradient(void) { return &m_gradient; } GMatrixSparse* curvature(void) { return &m_curvature; } protected: double m_value; //!< Function value GVector m_gradient; //!< Function gradient vector GMatrixSparse m_curvature; //!< Curvature matrix }; void parabola::eval(const GOptimizerPars& pars) { const double a = 2.0; const double b = -4.0; const double c = 2.0; double x = pars[0]->value(); m_value = a*x*x + b*x + c; m_gradient[0] = 2.0*a*x + b; m_curvature(0,0) = m_gradient[0] * m_gradient[0]; }; /***********************************************************************//** * @brief Optimize function * * This code illustrates the optimization of a function. ***************************************************************************/ int main(void) { // Allocate logger GLog log; log.cout(true); // Allocate optimizer GOptimizerLM opt; // Allocate function parabola fct; // Allocate parameters and set initial value GOptimizerPars pars(1); pars[0]->value(1.5); // Optimize parameters opt.optimize(fct, pars); // Print derivatives std::cout << "Function value .....: " << fct.value() << std::endl; std::cout << "Parameter value ....: " << pars[0]->value() << std::endl; // Exit return 0; }