% unConstrained example (optiGTest class) L. LAURENT -- 28/04/2017 -- luc.laurent@lecnam.net
0001 %% unConstrained example (optiGTest class) 0002 % L. LAURENT -- 28/04/2017 -- luc.laurent@lecnam.net 0003 0004 % sources available here: 0005 % https://bitbucket.org/luclaurent/optigtest/ 0006 % https://github.com/luclaurent/optigtest/ 0007 0008 % optiGTest - set of testing functions A toolbox to easy manipulate functions. 0009 % Copyright (C) 2018 Luc LAURENT <luc.laurent@lecnam.net> 0010 % 0011 % This program is free software: you can redistribute it and/or modify 0012 % it under the terms of the GNU General Public License as published by 0013 % the Free Software Foundation, either version 3 of the License, or 0014 % (at your option) any later version. 0015 % 0016 % This program is distributed in the hope that it will be useful, 0017 % but WITHOUT ANY WARRANTY; without even the implied warranty of 0018 % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 0019 % GNU General Public License for more details. 0020 % 0021 % You should have received a copy of the GNU General Public License 0022 % along with this program. If not, see <http://www.gnu.org/licenses/>. 0023 0024 0025 %% load the function 0026 Fun=optiGTest('Branin1'); 0027 0028 %% Demo mode 0029 Fun.demo 0030 0031 %% available dimensions (Inf= function defined for any dimension) 0032 Fun.dimAvailable 0033 0034 %% Change dimension 0035 Fun.dim=3; 0036 0037 %% evaluation of the objective function (responses and gradients) 0038 X=[0 1; 0039 3 4; 0040 6 7]; 0041 % Z=responses, GZ=gradients (in cell) GZr=gradients (in array) 0042 [Z,GZ,GZr]=Fun.evalObj(X); 0043 Z 0044 GZ 0045 GZr 0046 0047 %% check the function 0048 Fun.checkPb 0049 0050 %% Global minimum 0051 Fun.globMinX 0052 Fun.globMinZ 0053 0054 %% list available problems 0055 dispAvailablePb