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MoochoPack_MeritFunc_DummyUpdate_Step.cpp
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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 // 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_MeritFunc_DummyUpdate_Step.hpp"
00033 #include "MoochoPack_moocho_algo_conversion.hpp"
00034 #include "ConstrainedOptPack_MeritFuncNLP.hpp"
00035 #include "ConstrainedOptPack_MeritFuncNLPDirecDeriv.hpp"
00036 #include "IterationPack_print_algorithm_step.hpp"
00037 #include "AbstractLinAlgPack_VectorMutable.hpp"
00038 #include "AbstractLinAlgPack_VectorOut.hpp"
00039 #include "Teuchos_dyn_cast.hpp"
00040 
00041 namespace MoochoPack {
00042 
00043 bool MeritFunc_DummyUpdate_Step::do_step(
00044   Algorithm& _algo, poss_type step_poss, IterationPack::EDoStepType type, poss_type assoc_step_poss
00045   )
00046 {
00047   using Teuchos::dyn_cast;
00048 
00049   NLPAlgo &algo = rsqp_algo(_algo);
00050   NLPAlgoState  &s    = algo.rsqp_state();
00051 
00052   EJournalOutputLevel olevel = algo.algo_cntr().journal_output_level();
00053   std::ostream& out = algo.track().journal_out();
00054 
00055   // print step header.
00056   if( static_cast<int>(olevel) >= static_cast<int>(PRINT_ALGORITHM_STEPS) ) {
00057     using IterationPack::print_algorithm_step;
00058     print_algorithm_step( algo, step_poss, type, assoc_step_poss, out );
00059   }
00060 
00061   IterQuantityAccess<MeritFuncNLP>
00062     &merit_func_nlp_iq = s.merit_func_nlp();
00063 
00064   if(!merit_func_nlp_iq.updated_k(0)) {
00065     const int last_updated_k = merit_func_nlp_iq.last_updated();
00066     MeritFuncNLP
00067       &merit_func_nlp_k =  ( last_updated_k != IterQuantity::NONE_UPDATED
00068                    ? merit_func_nlp_iq.set_k(0,last_updated_k)
00069                    : merit_func_nlp_iq.set_k(0) );
00070     MeritFuncNLPDirecDeriv
00071       &direc_deriv = dyn_cast<MeritFuncNLPDirecDeriv>(merit_func_nlp_k);
00072 
00073     direc_deriv.calc_deriv(
00074       s.Gf().get_k(0)
00075       ,NULL
00076       ,NULL
00077       ,NULL
00078       ,NULL
00079       ,s.d().get_k(0)
00080       );
00081 
00082   }
00083 
00084   return true;
00085 }
00086 
00087 void MeritFunc_DummyUpdate_Step::print_step(
00088   const Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type
00089   ,poss_type assoc_step_poss, std::ostream& out, const std::string& L
00090   ) const
00091 {
00092   out
00093     << L << "*** Simply sets the current merit function value for unconstrained linesearch\n"
00094     << L << "if merit_func_nlp_k not updated set merit_func_nlp_k = merit_func_nlp_k(last_updated)\n";
00095 }
00096 
00097 } // end namespace MoochoPack
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