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MoochoPack : Framework for Large-Scale Optimization Algorithms
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00001 #if 0 00002 00003 // @HEADER 00004 // *********************************************************************** 00005 // 00006 // Moocho: Multi-functional Object-Oriented arCHitecture for Optimization 00007 // Copyright (2003) Sandia Corporation 00008 // 00009 // Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive 00010 // license for use of this work by or on behalf of the U.S. Government. 00011 // 00012 // Redistribution and use in source and binary forms, with or without 00013 // modification, are permitted provided that the following conditions are 00014 // met: 00015 // 00016 // 1. Redistributions of source code must retain the above copyright 00017 // notice, this list of conditions and the following disclaimer. 00018 // 00019 // 2. Redistributions in binary form must reproduce the above copyright 00020 // notice, this list of conditions and the following disclaimer in the 00021 // documentation and/or other materials provided with the distribution. 00022 // 00023 // 3. Neither the name of the Corporation nor the names of the 00024 // contributors may be used to endorse or promote products derived from 00025 // this software without specific prior written permission. 00026 // 00027 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00028 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00029 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00030 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00031 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00032 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00033 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00034 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00035 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00036 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00037 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00038 // 00039 // Questions? Contact Roscoe A. Bartlett (rabartl@sandia.gov) 00040 // 00041 // *********************************************************************** 00042 // @HEADER 00043 00044 #include <ostream> 00045 00046 #include "MoochoPack_LineSearchFullStepAfterKIter_Step.hpp" 00047 #include "MoochoPack_moocho_algo_conversion.hpp" 00048 #include "IterationPack_print_algorithm_step.hpp" 00049 00050 bool MoochoPack::LineSearchFullStepAfterKIter_Step::do_step(Algorithm& _algo 00051 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss) 00052 { 00053 NLPAlgo &algo = rsqp_algo(_algo); 00054 NLPAlgoState &s = algo.rsqp_state(); 00055 NLP &nlp = algo.nlp(); 00056 00057 EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level(); 00058 std::ostream& out = algo.track().journal_out(); 00059 out << std::boolalpha; 00060 00061 // print step header. 00062 if( (int)olevel >= (int)PRINT_ALGORITHM_STEPS ) { 00063 using IterationPack::print_algorithm_step; 00064 print_algorithm_step( algo, step_poss, type, assoc_step_poss, out ); 00065 } 00066 00067 const bool take_full_step = s.k() > full_steps_after_k(); 00068 00069 if( (int)olevel >= (int)PRINT_ALGORITHM_STEPS ) { 00070 out << "\nk = " << s.k() << ( take_full_step ? " > " : " < ") 00071 << "full_steps_after_k = " << full_steps_after_k() << std::endl; 00072 } 00073 00074 if( !take_full_step ) { 00075 return line_search().do_step(_algo,step_poss,type,assoc_step_poss); 00076 } 00077 else { 00078 if( (int)olevel >= (int)PRINT_ALGORITHM_STEPS ) { 00079 out << "\nKeep the full step...\n"; 00080 } 00081 } 00082 00083 return true; 00084 } 00085 00086 void MoochoPack::LineSearchFullStepAfterKIter_Step::print_step( const Algorithm& algo 00087 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00088 , std::ostream& out, const std::string& L ) const 00089 { 00090 out << L << "*** Start using full steps after full_steps_after_k iterations.\n" 00091 << L << "default: full_steps_after_k = very big\n"; 00092 out << L << "if k < full_steps_after_k then\n"; 00093 line_search().print_step(algo,step_poss,type,assoc_step_poss,out,L + " " ); 00094 out << L << "end\n"; 00095 } 00096 00097 #endif // 0
1.7.6.1