|
MoochoPack : Framework for Large-Scale Optimization Algorithms Version of the Day
|
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_CalcDFromYPYZPZ_Step.hpp" 00033 #include "MoochoPack_moocho_algo_conversion.hpp" 00034 #include "IterationPack_print_algorithm_step.hpp" 00035 //#include "ConstrainedOptPack_print_vector_change_stats.hpp" 00036 #include "AbstractLinAlgPack_MatrixOpOut.hpp" 00037 #include "AbstractLinAlgPack_VectorMutable.hpp" 00038 #include "AbstractLinAlgPack_VectorStdOps.hpp" 00039 #include "AbstractLinAlgPack_VectorOut.hpp" 00040 #include "AbstractLinAlgPack_LinAlgOpPack.hpp" 00041 #include "Teuchos_implicit_cast.hpp" 00042 00043 namespace LinAlgOpPack { 00044 using AbstractLinAlgPack::Vp_StMtV; 00045 } 00046 00047 bool MoochoPack::CalcDFromYPYZPZ_Step::do_step(Algorithm& _algo 00048 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss) 00049 { 00050 00051 using Teuchos::implicit_cast; 00052 using AbstractLinAlgPack::dot; 00053 using LinAlgOpPack::V_VpV; 00054 00055 NLPAlgo &algo = rsqp_algo(_algo); 00056 NLPAlgoState &s = algo.rsqp_state(); 00057 00058 EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level(); 00059 EJournalOutputLevel ns_olevel = algo.algo_cntr().null_space_journal_output_level(); 00060 std::ostream& out = algo.track().journal_out(); 00061 00062 // print step header. 00063 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00064 using IterationPack::print_algorithm_step; 00065 print_algorithm_step( algo, step_poss, type, assoc_step_poss, out ); 00066 } 00067 00068 // d = Ypy + Zpz 00069 VectorMutable &d_k = s.d().set_k(0); 00070 const Vector &Ypy_k = s.Ypy().get_k(0); 00071 const Vector &Zpz_k = s.Zpz().get_k(0); 00072 V_VpV( &d_k, Ypy_k, Zpz_k ); 00073 00074 Range1D 00075 var_dep = s.var_dep(), 00076 var_indep = s.var_indep(); 00077 00078 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00079 const value_type very_small = std::numeric_limits<value_type>::min(); 00080 out 00081 << "\n(Ypy_k'*Zpz_k)/(||Ypy_k||2 * ||Zpz_k||2 + eps)\n" 00082 << " = ("<<dot(Ypy_k,Zpz_k)<<")/("<<Ypy_k.norm_2()<<" * "<<Zpz_k.norm_2()<<" + "<<very_small<<")\n" 00083 << " = " << dot(Ypy_k,Zpz_k) / ( Ypy_k.norm_2() * Zpz_k.norm_2() + very_small ) << "\n"; 00084 /* 00085 ConstrainedOptPack::print_vector_change_stats( 00086 s.x().get_k(0), "x", s.d().get_k(0), "d", out ); 00087 */ 00088 // ToDo: Replace the above with a reduction operator! 00089 } 00090 00091 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00092 out << "\n||d_k||inf = " << d_k.norm_inf(); 00093 if( var_dep.size() ) 00094 out << "\n||d(var_dep)_k||inf = " << d_k.sub_view(var_dep)->norm_inf(); 00095 if( var_indep.size() ) 00096 out << "\n||d(var_indep)_k||inf = " << d_k.sub_view(var_indep)->norm_inf(); 00097 out << std::endl; 00098 } 00099 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_VECTORS) ) { 00100 out << "\nd_k = \n" << d_k; 00101 if( var_dep.size() ) 00102 out << "\nd(var_dep)_k = \n" << *d_k.sub_view(var_dep); 00103 } 00104 if( implicit_cast<int>(ns_olevel) >= implicit_cast<int>(PRINT_VECTORS) ) { 00105 if( var_indep.size() ) 00106 out << "\nd(var_indep)_k = \n" << *d_k.sub_view(var_indep); 00107 } 00108 00109 return true; 00110 00111 } 00112 00113 void MoochoPack::CalcDFromYPYZPZ_Step::print_step( const Algorithm& algo 00114 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00115 , std::ostream& out, const std::string& L ) const 00116 { 00117 out 00118 << L << "*** Calculates the search direction d from Ypy and Zpz\n" 00119 << L << "d_k = Ypy_k + Zpz_k \n"; 00120 }
1.7.4