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MoochoPack : Framework for Large-Scale Optimization Algorithms
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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 // Redistribution and use in source and binary forms, with or without 00011 // modification, are permitted provided that the following conditions are 00012 // met: 00013 // 00014 // 1. Redistributions of source code must retain the above copyright 00015 // notice, this list of conditions and the following disclaimer. 00016 // 00017 // 2. Redistributions in binary form must reproduce the above copyright 00018 // notice, this list of conditions and the following disclaimer in the 00019 // documentation and/or other materials provided with the distribution. 00020 // 00021 // 3. Neither the name of the Corporation nor the names of the 00022 // contributors may be used to endorse or promote products derived from 00023 // this software without specific prior written permission. 00024 // 00025 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00026 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00027 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00028 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00029 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00030 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00031 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00032 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00033 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00034 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00035 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00036 // 00037 // Questions? Contact Roscoe A. Bartlett (rabartl@sandia.gov) 00038 // 00039 // *********************************************************************** 00040 // @HEADER 00041 00042 #include <ostream> 00043 #include <typeinfo> 00044 00045 #include "MoochoPack_LineSearchFailureNewDecompositionSelection_Step.hpp" 00046 #include "MoochoPack_MoochoAlgorithmStepNames.hpp" 00047 #include "MoochoPack_moocho_algo_conversion.hpp" 00048 #include "MoochoPack_Exceptions.hpp" 00049 #include "IterationPack_print_algorithm_step.hpp" 00050 00051 namespace MoochoPack { 00052 00053 LineSearchFailureNewDecompositionSelection_Step::LineSearchFailureNewDecompositionSelection_Step( 00054 const line_search_step_ptr_t &line_search_step 00055 ,const new_decomp_strategy_ptr_t &new_decomp_strategy 00056 ) 00057 :line_search_step_(line_search_step) 00058 ,new_decomp_strategy_(new_decomp_strategy) 00059 ,last_ls_failure_k_(-100) // has not failed yet 00060 {} 00061 00062 bool LineSearchFailureNewDecompositionSelection_Step::do_step( 00063 Algorithm& _algo, poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00064 ) 00065 { 00066 try { 00067 return line_search_step().do_step(_algo,step_poss,type,assoc_step_poss); 00068 } 00069 catch(const LineSearchFailure& lsf_excpt) { 00070 NLPAlgo &algo = rsqp_algo(_algo); 00071 NLPAlgoState &s = algo.rsqp_state(); 00072 00073 EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level(); 00074 std::ostream& out = algo.track().journal_out(); 00075 00076 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_BASIC_ALGORITHM_INFO) ) { 00077 out << "\nLine search failed " 00078 << " (k = " << algo.state().k() << ")\n" 00079 << "LineSearchFailure description: " << lsf_excpt.what() << "\n"; 00080 } 00081 00082 if( last_ls_failure_k_ == s.k() - 1 ) { 00083 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_BASIC_ALGORITHM_INFO) ) { 00084 out << "\nThe line search failed again even with a new decomposition!" 00085 << " (k = " << algo.state().k() << ")\n" 00086 << "We quit!\n"; 00087 } 00088 throw; 00089 } 00090 00091 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_BASIC_ALGORITHM_INFO) ) { 00092 out << "\nSelecting a new decomposition..." 00093 << " (k = " << algo.state().k() << ")\n"; 00094 } 00095 00096 last_ls_failure_k_ = s.k(); 00097 return new_decomp_strategy().new_decomposition(algo,step_poss,type,assoc_step_poss); 00098 } 00099 return false; // will never be executed. 00100 } 00101 00102 void LineSearchFailureNewDecompositionSelection_Step::print_step( 00103 const Algorithm& algo 00104 ,poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00105 ,std::ostream& out, const std::string& L 00106 ) const 00107 { 00108 out 00109 << L << "do line search step : " << typeName(line_search_step()) << std::endl; 00110 line_search_step().print_step(algo,step_poss,type,assoc_step_poss,out,L+" "); 00111 out 00112 << L << "end line search step\n" 00113 << L << "if thrown line_search_failure then\n" 00114 << L << " if line search failed at the last iteration also then\n" 00115 << L << " throw line_search_failure\n" 00116 << L << " end\n" 00117 << L << " new decomposition selection : " << typeName(new_decomp_strategy()) << std::endl 00118 ; 00119 new_decomp_strategy().print_new_decomposition( 00120 rsqp_algo(algo),step_poss,type,assoc_step_poss,out, L + " " ); 00121 out 00122 << L << " end new decomposition selection\n" 00123 << L << "end\n" 00124 ; 00125 } 00126 00127 } // end namespace MoochoPack
1.7.6.1