MoochoPack_ReducedGradientStd_Step.cpp

Go to the documentation of this file.
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 <ostream>
00030 
00031 #include "MoochoPack_ReducedGradientStd_Step.hpp"
00032 #include "MoochoPack_moocho_algo_conversion.hpp"
00033 #include "IterationPack_print_algorithm_step.hpp"
00034 #include "AbstractLinAlgPack_VectorMutable.hpp"
00035 #include "AbstractLinAlgPack_VectorOut.hpp"
00036 #include "AbstractLinAlgPack_MatrixOpNonsing.hpp"
00037 #include "AbstractLinAlgPack_LinAlgOpPack.hpp"
00038 
00039 namespace MoochoPack {
00040 
00041 bool ReducedGradientStd_Step::do_step(
00042   Algorithm& _algo, poss_type step_poss, IterationPack::EDoStepType type
00043   , poss_type assoc_step_poss
00044   )
00045 {
00046   using BLAS_Cpp::trans;
00047   using LinAlgOpPack::V_MtV;
00048 
00049   NLPAlgo    &algo   = rsqp_algo(_algo);
00050   NLPAlgoState   &s      = algo.rsqp_state();
00051 
00052   EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level();
00053   EJournalOutputLevel ns_olevel = algo.algo_cntr().null_space_journal_output_level();
00054   std::ostream& out = algo.track().journal_out();
00055 
00056   // print step header.
00057   if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) {
00058     using IterationPack::print_algorithm_step;
00059     print_algorithm_step( _algo, step_poss, type, assoc_step_poss, out );
00060   }
00061 
00062   // Get iteration quantities
00063   IterQuantityAccess<VectorMutable>
00064     &Gf_iq  = s.Gf(),
00065     &rGf_iq = s.rGf();
00066   IterQuantityAccess<MatrixOp>
00067     &Z_iq = s.Z();
00068 
00069   // rGf = Z' * Gf
00070   V_MtV( &rGf_iq.set_k(0), Z_iq.get_k(0), trans, Gf_iq.get_k(0) );
00071 
00072   if( static_cast<int>(ns_olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) {
00073     out << "\n||rGf||inf = "  << rGf_iq.get_k(0).norm_inf() << std::endl;
00074   }
00075 
00076   if( static_cast<int>(ns_olevel) >= static_cast<int>(PRINT_VECTORS) ) {
00077     out << "\nrGf_k =\n" << rGf_iq.get_k(0);
00078   }
00079 
00080   return true;
00081 }
00082 
00083 void ReducedGradientStd_Step::print_step(
00084   const Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type
00085   ,poss_type assoc_step_poss, std::ostream& out, const std::string& L
00086   ) const
00087 {
00088   out
00089     << L << "*** Evaluate the reduced gradient of the objective funciton\n"
00090     << L << "rGf_k = Z_k' * Gf_k\n";
00091 }
00092 
00093 } // end namespace MoochoPack

Generated on Thu Sep 18 12:35:18 2008 for MOOCHO (Single Doxygen Collection) by doxygen 1.3.9.1