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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 <assert.h> 00043 00044 #include <ostream> 00045 00046 #include "MoochoPack_CheckConvergenceStd_AddedStep.hpp" 00047 #include "MoochoPack_NLPAlgoContainer.hpp" 00048 #include "MoochoPack_moocho_algo_conversion.hpp" 00049 #include "IterationPack_print_algorithm_step.hpp" 00050 00051 namespace MoochoPack { 00052 00053 CheckConvergenceStd_AddedStep::CheckConvergenceStd_AddedStep( 00054 Teuchos::RCP<CheckConvergence_Strategy> convergence_strategy 00055 ) 00056 : 00057 convergence_strategy_(convergence_strategy) 00058 {} 00059 00060 bool CheckConvergenceStd_AddedStep::do_step( 00061 Algorithm& _algo, poss_type step_poss, IterationPack::EDoStepType type 00062 ,poss_type assoc_step_poss 00063 ) 00064 { 00065 00066 TEUCHOS_TEST_FOR_EXCEPTION(!convergence_strategy_.get(), 00067 std::logic_error, 00068 "Don't have a valid convergence_strategy in CheckConvergenceStd_AddedStep\n" 00069 ); 00070 00071 NLPAlgo &algo = rsqp_algo(_algo); 00072 00073 EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level(); 00074 std::ostream& out = algo.track().journal_out(); 00075 00076 // print step header. 00077 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00078 using IterationPack::print_algorithm_step; 00079 print_algorithm_step( algo, step_poss, type, assoc_step_poss, out ); 00080 } 00081 00082 const bool found_solution = convergence_strategy_->Converged(_algo); 00083 00084 if( found_solution ) 00085 { 00086 if( static_cast<int>(olevel) > static_cast<int>(PRINT_NOTHING) ) 00087 out << "\nJackpot! Found the solution!!!!!! (k = " << algo.state().k() << ")\n"; 00088 algo.terminate(true); // found min 00089 return false; // skip the other steps and terminate 00090 } 00091 00092 if( static_cast<int>(olevel) > static_cast<int>(PRINT_NOTHING) ) 00093 out << "\nHave not found the solution yet, have to keep going (k = " << algo.state().k() << ") :-(\n"; 00094 00095 // We are not at the solution so keep going 00096 return true; 00097 } 00098 00099 void CheckConvergenceStd_AddedStep::print_step( const Algorithm& algo 00100 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00101 , std::ostream& out, const std::string& L ) const 00102 { 00103 00104 TEUCHOS_TEST_FOR_EXCEPTION(!convergence_strategy_.get(), 00105 std::logic_error, 00106 "Don't have a valid convergence_strategy in CheckConvergenceStd_AddedStep\n" 00107 ); 00108 00109 convergence_strategy_->print_step(algo, out, L); 00110 } 00111 00112 } // end namespace MoochoPack
1.7.6.1