00001 /* 00002 * This file is part of ACADO Toolkit. 00003 * 00004 * ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization. 00005 * Copyright (C) 2008-2014 by Boris Houska, Hans Joachim Ferreau, 00006 * Milan Vukov, Rien Quirynen, KU Leuven. 00007 * Developed within the Optimization in Engineering Center (OPTEC) 00008 * under supervision of Moritz Diehl. All rights reserved. 00009 * 00010 * ACADO Toolkit is free software; you can redistribute it and/or 00011 * modify it under the terms of the GNU Lesser General Public 00012 * License as published by the Free Software Foundation; either 00013 * version 3 of the License, or (at your option) any later version. 00014 * 00015 * ACADO Toolkit is distributed in the hope that it will be useful, 00016 * but WITHOUT ANY WARRANTY; without even the implied warranty of 00017 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 00018 * Lesser General Public License for more details. 00019 * 00020 * You should have received a copy of the GNU Lesser General Public 00021 * License along with ACADO Toolkit; if not, write to the Free Software 00022 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA 00023 * 00024 */ 00025 00026 00027 00034 #include <time.h> 00035 00036 #include <acado/utils/acado_utils.hpp> 00037 #include <acado/user_interaction/user_interaction.hpp> 00038 #include <acado/symbolic_expression/symbolic_expression.hpp> 00039 #include <acado/function/function.hpp> 00040 00041 using namespace std; 00042 00043 USING_NAMESPACE_ACADO 00044 00045 /* >>> start tutorial code >>> */ 00046 int main() 00047 { 00048 // DEFINE VALRIABLES: 00049 // --------------------------- 00050 DifferentialState x, y; 00051 Function f; 00052 00053 f << x*x + pow(y,2); 00054 00055 // TEST THE FUNCTION f: 00056 // -------------------- 00057 EvaluationPoint z(f); 00058 EvaluationPoint dz(f); 00059 00060 DVector xx(2); DVector dx(2); 00061 00062 xx(0) = 1.0; dx(0) = 0.5; 00063 xx(1) = 1.0; dx(1) = 0.1; 00064 00065 z.setX( xx ); dz.setX( dx ); 00066 00067 // FORWARD DIFFERENTIATION: 00068 // ------------------------ 00069 DVector ff = f.evaluate ( z ); 00070 DVector df = f.AD_forward( dz ); 00071 00072 // PRINT THE RESULTS: 00073 // ------------------ 00074 cout << "result of evaluation : " << ff; 00075 cout << "result of the derivative: " << df; 00076 00077 return 0; 00078 } 00079 /* <<< end tutorial code <<< */ 00080 00081