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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 <limits> 00043 #include <ostream> 00044 00045 #include "MoochoPack_CalcDFromYPYZPZ_Step.hpp" 00046 #include "MoochoPack_moocho_algo_conversion.hpp" 00047 #include "IterationPack_print_algorithm_step.hpp" 00048 //#include "ConstrainedOptPack_print_vector_change_stats.hpp" 00049 #include "AbstractLinAlgPack_MatrixOpOut.hpp" 00050 #include "AbstractLinAlgPack_VectorMutable.hpp" 00051 #include "AbstractLinAlgPack_VectorStdOps.hpp" 00052 #include "AbstractLinAlgPack_VectorOut.hpp" 00053 #include "AbstractLinAlgPack_LinAlgOpPack.hpp" 00054 #include "Teuchos_implicit_cast.hpp" 00055 00056 namespace LinAlgOpPack { 00057 using AbstractLinAlgPack::Vp_StMtV; 00058 } 00059 00060 bool MoochoPack::CalcDFromYPYZPZ_Step::do_step(Algorithm& _algo 00061 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss) 00062 { 00063 00064 using Teuchos::implicit_cast; 00065 using AbstractLinAlgPack::dot; 00066 using LinAlgOpPack::V_VpV; 00067 00068 NLPAlgo &algo = rsqp_algo(_algo); 00069 NLPAlgoState &s = algo.rsqp_state(); 00070 00071 EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level(); 00072 EJournalOutputLevel ns_olevel = algo.algo_cntr().null_space_journal_output_level(); 00073 std::ostream& out = algo.track().journal_out(); 00074 00075 // print step header. 00076 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00077 using IterationPack::print_algorithm_step; 00078 print_algorithm_step( algo, step_poss, type, assoc_step_poss, out ); 00079 } 00080 00081 // d = Ypy + Zpz 00082 VectorMutable &d_k = s.d().set_k(0); 00083 const Vector &Ypy_k = s.Ypy().get_k(0); 00084 const Vector &Zpz_k = s.Zpz().get_k(0); 00085 V_VpV( &d_k, Ypy_k, Zpz_k ); 00086 00087 Range1D 00088 var_dep = s.var_dep(), 00089 var_indep = s.var_indep(); 00090 00091 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00092 const value_type very_small = std::numeric_limits<value_type>::min(); 00093 out 00094 << "\n(Ypy_k'*Zpz_k)/(||Ypy_k||2 * ||Zpz_k||2 + eps)\n" 00095 << " = ("<<dot(Ypy_k,Zpz_k)<<")/("<<Ypy_k.norm_2()<<" * "<<Zpz_k.norm_2()<<" + "<<very_small<<")\n" 00096 << " = " << dot(Ypy_k,Zpz_k) / ( Ypy_k.norm_2() * Zpz_k.norm_2() + very_small ) << "\n"; 00097 /* 00098 ConstrainedOptPack::print_vector_change_stats( 00099 s.x().get_k(0), "x", s.d().get_k(0), "d", out ); 00100 */ 00101 // ToDo: Replace the above with a reduction operator! 00102 } 00103 00104 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00105 out << "\n||d_k||inf = " << d_k.norm_inf(); 00106 if( var_dep.size() ) 00107 out << "\n||d(var_dep)_k||inf = " << d_k.sub_view(var_dep)->norm_inf(); 00108 if( var_indep.size() ) 00109 out << "\n||d(var_indep)_k||inf = " << d_k.sub_view(var_indep)->norm_inf(); 00110 out << std::endl; 00111 } 00112 if( implicit_cast<int>(olevel) >= implicit_cast<int>(PRINT_VECTORS) ) { 00113 out << "\nd_k = \n" << d_k; 00114 if( var_dep.size() ) 00115 out << "\nd(var_dep)_k = \n" << *d_k.sub_view(var_dep); 00116 } 00117 if( implicit_cast<int>(ns_olevel) >= implicit_cast<int>(PRINT_VECTORS) ) { 00118 if( var_indep.size() ) 00119 out << "\nd(var_indep)_k = \n" << *d_k.sub_view(var_indep); 00120 } 00121 00122 return true; 00123 00124 } 00125 00126 void MoochoPack::CalcDFromYPYZPZ_Step::print_step( const Algorithm& algo 00127 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00128 , std::ostream& out, const std::string& L ) const 00129 { 00130 out 00131 << L << "*** Calculates the search direction d from Ypy and Zpz\n" 00132 << L << "d_k = Ypy_k + Zpz_k \n"; 00133 }
1.7.6.1