|
MoochoPack : Framework for Large-Scale Optimization Algorithms
Version of the Day
|
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 #include <sstream> 00046 #include <limits> 00047 00048 #include "MoochoPack_DampenCrossTermStd_Step.hpp" 00049 #include "MoochoPack_moocho_algo_conversion.hpp" 00050 #include "IterationPack_print_algorithm_step.hpp" 00051 #include "ConstrainedOptPack/src/VectorWithNorms.h" 00052 #include "AbstractLinAlgPack/src/MatrixWithOpFactorized.hpp" 00053 #include "DenseLinAlgPack_LinAlgOpPack.hpp" 00054 #include "DenseLinAlgPack_DVectorClass.hpp" 00055 #include "DenseLinAlgPack_DVectorOut.hpp" 00056 00057 MoochoPack::DampenCrossTermStd_Step::DampenCrossTermStd_Step(const value_type& frac_descent) 00058 : frac_descent_(frac_descent) 00059 {} 00060 00061 bool MoochoPack::DampenCrossTermStd_Step::do_step(Algorithm& _algo 00062 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss) 00063 { 00064 using AbstractLinAlgPack::V_InvMtV; 00065 using DenseLinAlgPack::norm_inf; 00066 using DenseLinAlgPack::dot; 00067 00068 NLPAlgo &algo = rsqp_algo(_algo); 00069 NLPAlgoState &s = algo.rsqp_state(); 00070 00071 EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level(); 00072 std::ostream& out = algo.track().journal_out(); 00073 00074 // print step header. 00075 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00076 using IterationPack::print_algorithm_step; 00077 print_algorithm_step( _algo, step_poss, type, assoc_step_poss, out ); 00078 } 00079 00080 if( s.w().updated_k(0) ) { 00081 00082 // inv(rHL_k) * rGf_k 00083 const DVectorSlice rGf_k = s.rGf().get_k(0)(); 00084 DVector Inv_rHL_rGf; 00085 V_InvMtV( &Inv_rHL_rGf, dynamic_cast<MatrixWithOpFactorized&>(s.rHL().get_k(0)) 00086 , BLAS_Cpp::no_trans, rGf_k ); 00087 00088 const value_type 00089 small_num = 1e-20, 00090 rGfT_Inv_rHL_rGf = dot( Inv_rHL_rGf(), rGf_k ), // rGf_k'*inv(rHL_k)*rGf_k 00091 rGfT_Inv_rHL_w = dot( Inv_rHL_rGf(), s.w().get_k(0)() ), // rGf_k'*inv(rHL_k)*w_k 00092 term = -(1.0-frac_descent()) * (rGfT_Inv_rHL_rGf + 2*small_num) 00093 / (rGfT_Inv_rHL_w + small_num); 00094 00095 if( rGfT_Inv_rHL_w >= 0.0 ) { 00096 // We know that the descent property will be satisfied for all zeta_k > 0 00097 // so set zeta_k = 1 00098 s.zeta().set_k(0) = 1.0; 00099 } 00100 else { 00101 // For some zeta_k > 0 the descent property will be violated so we may have to 00102 // cut zeta_k back from 1. 00103 s.zeta().set_k(0) = std::_MIN( term, 1.0 ); 00104 } 00105 00106 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) { 00107 out << "\nterm1 = rGf_k'*inv(rHL_k)*rGf_k = " << rGfT_Inv_rHL_rGf; 00108 out << "\nterm2 = rGf_k'*inv(rHL_k)*w_k = " << rGfT_Inv_rHL_w; 00109 out << "\n(1-frac_descent)*(term1+2*small)/(term2+small) = " << term; 00110 out << "\nzeta_k = " << s.zeta().get_k(0) 00111 << std::endl; 00112 } 00113 00114 if( static_cast<int>(olevel) >= static_cast<int>(PRINT_VECTORS) ) { 00115 out << "\ninv(rHL_k)*rGf_k = " << Inv_rHL_rGf(); 00116 } 00117 00118 if( rGfT_Inv_rHL_rGf < 0.0 ) { 00119 std::ostringstream omsg; 00120 omsg 00121 << "Error, rGf_k'*inv(rHL_k)*rGf_k = " << rGfT_Inv_rHL_rGf << " < 0.0 and therefore " 00122 << "the reduced Hessian rHL_k can not be positive definite"; 00123 if( (int)(olevel) >= (int)(PRINT_ALGORITHM_STEPS) ) { 00124 out << omsg.str(); 00125 } 00126 throw std::runtime_error( std::string("DampenCrossTermStd_Step::do_step(...) : ") 00127 + omsg.str() ); 00128 } 00129 } 00130 00131 return true; 00132 } 00133 00134 void MoochoPack::DampenCrossTermStd_Step::print_step( const Algorithm& algo 00135 , poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss 00136 , std::ostream& out, const std::string& L ) const 00137 { 00138 out 00139 << L << "*** Compute the dampening parameter for the reduced QP cross term w_k\n" 00140 << L << "default: frac_descent = " << frac_descent() << std::endl 00141 << L << "if w_k is update then\n" 00142 << L << " find zeta_k s.t.\n" 00143 << L << " Gf_k'*Z_k*pz_k approx\n" 00144 << L << " - zeta_k * rGf_k'*inv(rHL_k)*w_k - rGf_k'*inv(rHL_k)*rGf_k\n" 00145 << L << " <= - frac_descent * rGf_k'*inv(rHL_k)*rGf_k\n" 00146 << L << "end\n"; 00147 } 00148 00149 #endif // 0
1.7.6.1