MoochoPack_MeritFunc_PenaltyParamUpdateWithMult_AddedStep.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 <ostream>
00030 #include <typeinfo>
00031 
00032 #include "MoochoPack_MeritFunc_PenaltyParamUpdateWithMult_AddedStep.hpp"
00033 #include "MoochoPack_NLPAlgoState.hpp"
00034 #include "ConstrainedOptPack/src/VectorWithNorms.h"
00035 
00036 namespace MoochoPack {
00037 
00038 MeritFunc_PenaltyParamUpdateWithMult_AddedStep::MeritFunc_PenaltyParamUpdateWithMult_AddedStep(
00039       const merit_func_ptr_t& merit_func, value_type small_mu
00040     , value_type mult_factor, value_type kkt_near_sol )
00041   : MeritFunc_PenaltyParamUpdateGuts_AddedStep(merit_func,small_mu,mult_factor,kkt_near_sol)
00042 {}
00043 
00044 // Overridden from MeritFunc_PenaltyParamUpdateGuts_AddedStep
00045 
00046 bool MeritFunc_PenaltyParamUpdateWithMult_AddedStep::min_mu(
00047   NLPAlgoState& s, value_type* min_mu ) const
00048 {
00049   if ( s.lambda().updated_k(0) ) {
00050     *min_mu = s.lambda().get_k(0).norm_inf();
00051     return true;
00052   }
00053   return false;
00054 }
00055 
00056 void MeritFunc_PenaltyParamUpdateWithMult_AddedStep::print_min_mu_step(
00057   std::ostream& out, const std::string& L ) const
00058 {
00059   out
00060     << L << "if lambda_k is updated then\n"
00061     << L << "    min_mu = norm( lambda_k, inf )\n"
00062     << L << "    update_mu = true\n"
00063     << L << "else\n"
00064     << L << "    update_mu = false\n"
00065     << L << "endif\n"
00066     ;
00067 }
00068 
00069 } // end namespace MoochoPack

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