symbolic_differentiation2.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 
00042 int main( ){
00043 
00044     USING_NAMESPACE_ACADO
00045 
00046     // DEFINE VALRIABLES:
00047     // ---------------------------
00048     DifferentialState x("", 3, 1);
00049 
00050     // DEFINE A TEST FUNCTION:
00051     // -----------------------
00052     Function f;
00053 
00054     f << backwardDerivative( x, x );
00055 //
00056 //    x.getDependencyPattern( x ).print();
00057 //
00058 //
00059 //    // TEST THE FUNCTION f:
00060 //    // --------------------
00062 //    double *result = new double[ f.getDim() ];
00063 //
00064 //    // EVALUATE f AT THE POINT  (tt,xx):
00065 //    // ---------------------------------
00066 //    f.evaluate( 0.0, 0, result );
00067 //
00068 //    delete[] result;
00069 
00070     return 0;
00071 }
00072 
00073 


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Thu Aug 27 2015 12:01:10