automatic_forward_differentiation.cpp
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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 


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Thu Aug 27 2015 11:57:50