00001 /************************************************************************* 00002 * 00003 * The Contents of this file are made available subject to 00004 * the terms of GNU Lesser General Public License Version 2.1. 00005 * 00006 * 00007 * GNU Lesser General Public License Version 2.1 00008 * ============================================= 00009 * Copyright 2005 by Kohei Yoshida. 00010 * 1039 Kingsway Dr., Apex, NC 27502, USA 00011 * 00012 * This library is free software; you can redistribute it and/or 00013 * modify it under the terms of the GNU Lesser General Public 00014 * License version 2.1, as published by the Free Software Foundation. 00015 * 00016 * This library is distributed in the hope that it will be useful, 00017 * but WITHOUT ANY WARRANTY; without even the implied warranty of 00018 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 00019 * Lesser General Public License for more details. 00020 * 00021 * You should have received a copy of the GNU Lesser General Public 00022 * License along with this library; if not, write to the Free Software 00023 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, 00024 * MA 02111-1307 USA 00025 * 00026 ************************************************************************/ 00027 00028 #include "numeric/nlpbase.hxx" 00029 #include "numeric/nlpmodel.hxx" 00030 #include "numeric/funcobj.hxx" 00031 00032 using ::std::vector; 00033 00034 namespace scsolver { namespace numeric { namespace nlp { 00035 00036 struct BaseAlgorithmImpl 00037 { 00038 Model* pModel; 00039 vector<double> Solution; 00040 bool Debug; 00041 00042 BaseAlgorithmImpl() : 00043 pModel(NULL), 00044 Debug(false) 00045 { 00046 } 00047 }; 00048 00049 BaseAlgorithm::BaseAlgorithm() : m_pImpl( new BaseAlgorithmImpl ) 00050 { 00051 } 00052 00053 BaseAlgorithm::~BaseAlgorithm() 00054 { 00055 } 00056 00057 Model* BaseAlgorithm::getModel() const 00058 { 00059 return m_pImpl->pModel; 00060 } 00061 00062 void BaseAlgorithm::setModel( Model* model ) 00063 { 00064 m_pImpl->pModel = model; 00065 } 00066 00067 const vector<double>& BaseAlgorithm::getSolution() const 00068 { 00069 return getModel()->getFuncObject()->getVars(); 00070 } 00071 00072 void BaseAlgorithm::setDebug(bool debug) 00073 { 00074 m_pImpl->Debug = debug; 00075 } 00076 00077 bool BaseAlgorithm::isDebug() const 00078 { 00079 return m_pImpl->Debug; 00080 } 00081 00082 }}} 00083
1.5.3