eigenvalue_tutorial.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 
00035 #include <acado/utils/acado_utils.hpp>
00036 #include <acado/matrix_vector/matrix_vector.hpp>
00037 
00038 using namespace std;
00039 using namespace Eigen;
00040 
00041 USING_NAMESPACE_ACADO
00042 
00043 /* >>> start tutorial code >>> */
00044 int main( ){
00045 
00046     // DEFINE A MATRIX:
00047     // ----------------
00048     DMatrix A(3,3);
00049 
00050     A(0,0) = 1.0;  A(0,1) = 0.0;  A(0,2) = 0.0;
00051     A(1,0) = 0.0;  A(1,1) = 3.0;  A(1,2) = 2.0;
00052     A(2,0) = 0.0;  A(2,1) = 2.0;  A(2,2) = 3.0;
00053 
00054 
00055 //  ----------------------------------------
00056 //  Just printing the Eigenvalues:
00057 //  ----------------------------------------
00058 
00059     EigenSolver< DMatrix > es( A );
00060 
00061     cout << "A = " << A << endl;
00062     cout << "Eigenvalues:  " << endl << es.eigenvalues() << endl << endl;
00063     cout << "Eigenvectors: " << endl << es.eigenvectors() << endl;
00064 
00065     return 0;
00066 }
00067 /* <<< end tutorial code <<< */
00068 
00069 


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Sat Jun 8 2019 19:37:01