MoochoPack_CalcDFromYPY_Step.cpp

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_CalcDFromYPY_Step.hpp"
00033 #include "MoochoPack_moocho_algo_conversion.hpp"
00034 #include "IterationPack_print_algorithm_step.hpp"
00035 #include "AbstractLinAlgPack_VectorMutable.hpp"
00036 #include "AbstractLinAlgPack_VectorOut.hpp"
00037 
00038 namespace MoochoPack {
00039 
00040 bool CalcDFromYPY_Step::do_step(
00041   Algorithm& _algo, poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss
00042   )
00043 {
00044 
00045   NLPAlgo        &algo = rsqp_algo(_algo);
00046   NLPAlgoState   &s    = algo.rsqp_state();
00047 
00048   EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level();
00049   std::ostream& out = algo.track().journal_out();
00050 
00051   // print step header.
00052   if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) {
00053     using IterationPack::print_algorithm_step;
00054     print_algorithm_step( algo, step_poss, type, assoc_step_poss, out );
00055   }
00056 
00057   // d = Ypy
00058   VectorMutable &d_k = s.d().set_k(0) = s.Ypy().get_k(0);
00059 
00060   if( (int)olevel >= (int)PRINT_ALGORITHM_STEPS ) {
00061     out << "\n||d||inf = " << d_k.norm_inf() << std::endl;
00062   }
00063 
00064   if( (int)olevel >= (int)PRINT_VECTORS ) {
00065     out << "\nd_k = \n" << d_k;
00066   }
00067 
00068   return true;
00069 }
00070 
00071 void CalcDFromYPY_Step::print_step(
00072   const Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type
00073   ,poss_type assoc_step_poss, std::ostream& out, const std::string& L
00074   ) const
00075 {
00076   out
00077     << L << "*** Calculates the search direction d from Ypy\n"
00078     << L << "d_k = Ypy_k \n";
00079 }
00080 
00081 } // end namespace MoochoPack

Generated on Wed May 12 21:32:12 2010 for MoochoPack : Framework for Large-Scale Optimization Algorithms by  doxygen 1.4.7