Example shows numeric quadratic function use.
// Copyright (C) 2009 by Thomas Moulard, AIST, CNRS, INRIA. // // This file is part of the roboptim. // // roboptim 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 3 of the License, or // (at your option) any later version. // // roboptim 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 roboptim. If not, see <http://www.gnu.org/licenses/>. #include "shared-tests/fixture.hh" #include <iostream> #include <roboptim/core/io.hh> #include <roboptim/core/numeric-quadratic-function.hh> using namespace roboptim; typedef DummySolver solver_t; BOOST_FIXTURE_TEST_SUITE (core, TestSuiteConfiguration) BOOST_AUTO_TEST_CASE (numeric_quadratic_function) { boost::shared_ptr<boost::test_tools::output_test_stream> output = retrievePattern ("numeric-quadratic-function"); NumericQuadraticFunction::matrix_t a (5, 5); NumericQuadraticFunction::vector_t b (5); NumericQuadraticFunction::vector_t x (5); a.setZero (); b.setZero (); x.setZero (); a(0, 0) = 1.1, a(0, 1) = 1.2, a(0, 2) = 1.3, a(0, 3) = 1.4, a(0, 4) = 1.5; a(1, 0) = 1.2, a(1, 1) = 2.2, a(1, 2) = 2.3, a(1, 3) = 2.4, a(1, 4) = 2.5; a(2, 0) = 1.3, a(2, 1) = 2.3, a(2, 2) = 3.3, a(2, 3) = 3.4, a(2, 4) = 3.5; a(3, 0) = 1.4, a(3, 1) = 2.4, a(3, 2) = 3.4, a(3, 3) = 4.4, a(3, 4) = 4.5; a(4, 0) = 1.5, a(4, 1) = 2.5, a(4, 2) = 3.5, a(4, 3) = 4.5, a(4, 4) = 5.5; b[0] = 2.1; b[1] = 4.3; b[2] = 6.5; b[3] = 8.7; NumericQuadraticFunction f (a, b); (*output) << f << std::endl; x[0] = 0.1; x[1] = 1.2; x[2] = 2.3; x[3] = 3.4; x[4] = 4.5; (*output) << "f(x) = " << f (x) << std::endl; (*output) << "J(x) = " << f.jacobian (x) << std::endl; (*output) << "G(x) = " << f.gradient (x, 0) << std::endl; (*output) << "H(x) = " << f.hessian (x, 0) << std::endl; std::cout << output->str () << std::endl; BOOST_CHECK (output->match_pattern ()); } BOOST_AUTO_TEST_SUITE_END ()