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 00034 #include <acado/nlp_derivative_approximation/gauss_newton_approximation.hpp> 00035 00036 00037 00038 BEGIN_NAMESPACE_ACADO 00039 00040 00041 // 00042 // PUBLIC MEMBER FUNCTIONS: 00043 // 00044 00045 GaussNewtonApproximation::GaussNewtonApproximation( ) : NLPderivativeApproximation( ) 00046 { 00047 } 00048 00049 00050 GaussNewtonApproximation::GaussNewtonApproximation( UserInteraction* _userInteraction ) : NLPderivativeApproximation( _userInteraction ) 00051 { 00052 } 00053 00054 00055 GaussNewtonApproximation::GaussNewtonApproximation( const GaussNewtonApproximation& rhs ) : NLPderivativeApproximation( rhs ) 00056 { 00057 } 00058 00059 00060 GaussNewtonApproximation::~GaussNewtonApproximation( ) 00061 { 00062 } 00063 00064 00065 GaussNewtonApproximation& GaussNewtonApproximation::operator=( const GaussNewtonApproximation& rhs ) 00066 { 00067 if ( this != &rhs ) 00068 { 00069 NLPderivativeApproximation::operator=( rhs ); 00070 } 00071 00072 return *this; 00073 } 00074 00075 00076 NLPderivativeApproximation* GaussNewtonApproximation::clone( ) const 00077 { 00078 return new GaussNewtonApproximation( *this ); 00079 } 00080 00081 00082 00083 returnValue GaussNewtonApproximation::initHessian( BlockMatrix& B, 00084 uint N, 00085 const OCPiterate& iter 00086 ) 00087 { 00088 return SUCCESSFUL_RETURN; 00089 } 00090 00091 00092 returnValue GaussNewtonApproximation::initScaling( BlockMatrix& B, 00093 const BlockMatrix& x, 00094 const BlockMatrix& y 00095 ) 00096 { 00097 return SUCCESSFUL_RETURN; 00098 } 00099 00100 00101 00102 returnValue GaussNewtonApproximation::apply( BlockMatrix &B, 00103 const BlockMatrix &x, 00104 const BlockMatrix &y 00105 ) 00106 { 00107 return SUCCESSFUL_RETURN; 00108 } 00109 00110 00111 00112 // 00113 // PROTECTED MEMBER FUNCTIONS: 00114 // 00115 00116 00117 00118 00119 00120 CLOSE_NAMESPACE_ACADO 00121 00122 // end of file.