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MoochoPack : Framework for Large-Scale Optimization Algorithms Version of the Day
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00001 // @HEADER 00002 // *********************************************************************** 00003 // 00004 // Moocho: Multi-functional Object-Oriented arCHitecture for Optimization 00005 // Copyright (2003) Sandia Corporation 00006 // 00007 // Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive 00008 // license for use of this work by or on behalf of the U.S. Government. 00009 // 00010 // This library is free software; you can redistribute it and/or modify 00011 // it under the terms of the GNU Lesser General Public License as 00012 // published by the Free Software Foundation; either version 2.1 of the 00013 // License, or (at your option) any later version. 00014 // 00015 // This library is distributed in the hope that it will be useful, but 00016 // 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 this library; if not, write to the Free Software 00022 // Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 00023 // USA 00024 // Questions? Contact Roscoe A. Bartlett (rabartl@sandia.gov) 00025 // 00026 // *********************************************************************** 00027 // @HEADER 00028 00029 #include <limits> 00030 #include <ostream> 00031 00032 #include "MoochoPack_CalcDFromYPY_Step.hpp" 00033 #include "MoochoPack_moocho_algo_conversion.hpp" 00034 #include "IterationPack_print_algorithm_step.hpp" 00035 #include "AbstractLinAlgPack_VectorMutable.hpp" 00036 #include "AbstractLinAlgPack_VectorOut.hpp" 00037 00038 namespace MoochoPack { 00039 00040 bool CalcDFromYPY_Step::do_step( 00041 Algorithm& _algo, poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00042 ) 00043 { 00044 00045 NLPAlgo &algo = rsqp_algo(_algo); 00046 NLPAlgoState &s = algo.rsqp_state(); 00047 00048 EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level(); 00049 std::ostream& out = algo.track().journal_out(); 00050 00051 // print step header. 00052 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00053 using IterationPack::print_algorithm_step; 00054 print_algorithm_step( algo, step_poss, type, assoc_step_poss, out ); 00055 } 00056 00057 // d = Ypy 00058 VectorMutable &d_k = s.d().set_k(0) = s.Ypy().get_k(0); 00059 00060 if( (int)olevel >= (int)PRINT_ALGORITHM_STEPS ) { 00061 out << "\n||d||inf = " << d_k.norm_inf() << std::endl; 00062 } 00063 00064 if( (int)olevel >= (int)PRINT_VECTORS ) { 00065 out << "\nd_k = \n" << d_k; 00066 } 00067 00068 return true; 00069 } 00070 00071 void CalcDFromYPY_Step::print_step( 00072 const Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type 00073 ,poss_type assoc_step_poss, std::ostream& out, const std::string& L 00074 ) const 00075 { 00076 out 00077 << L << "*** Calculates the search direction d from Ypy\n" 00078 << L << "d_k = Ypy_k \n"; 00079 } 00080 00081 } // end namespace MoochoPack
1.7.4