/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2013, OpenCV Foundation, all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the OpenCV Foundation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" #include static void mytest(cv::Ptr solver,cv::Ptr ptr_F,cv::Mat& x, cv::Mat& etalon_x,double etalon_res){ solver->setFunction(ptr_F); //int ndim=MAX(step.cols,step.rows); double res=solver->minimize(x); std::cout<<"res:\n\t"<getTermCriteria().epsilon; ASSERT_TRUE(std::abs(res-etalon_res)::iterator it1=x.begin(),it2=etalon_x.begin();it1!=x.end();it1++,it2++){ ASSERT_TRUE(std::abs((*it1)-(*it2)) solver=cv::optim::createConjGradSolver(); #if 1 { cv::Ptr ptr_F(new SphereF()); cv::Mat x=(cv::Mat_(4,1)<<50.0,10.0,1.0,-10.0), etalon_x=(cv::Mat_(1,4)<<0.0,0.0,0.0,0.0); double etalon_res=0.0; mytest(solver,ptr_F,x,etalon_x,etalon_res); } #endif #if 1 { cv::Ptr ptr_F(new RosenbrockF()); cv::Mat x=(cv::Mat_(2,1)<<0.0,0.0), etalon_x=(cv::Mat_(2,1)<<1.0,1.0); double etalon_res=0.0; mytest(solver,ptr_F,x,etalon_x,etalon_res); } #endif }