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MoochoPack : Framework for Large-Scale Optimization Algorithms
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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 // Redistribution and use in source and binary forms, with or without 00011 // modification, are permitted provided that the following conditions are 00012 // met: 00013 // 00014 // 1. Redistributions of source code must retain the above copyright 00015 // notice, this list of conditions and the following disclaimer. 00016 // 00017 // 2. Redistributions in binary form must reproduce the above copyright 00018 // notice, this list of conditions and the following disclaimer in the 00019 // documentation and/or other materials provided with the distribution. 00020 // 00021 // 3. Neither the name of the Corporation nor the names of the 00022 // contributors may be used to endorse or promote products derived from 00023 // this software without specific prior written permission. 00024 // 00025 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00026 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00027 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00028 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00029 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00030 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00031 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00032 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00033 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00034 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00035 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00036 // 00037 // Questions? Contact Roscoe A. Bartlett (rabartl@sandia.gov) 00038 // 00039 // *********************************************************************** 00040 // @HEADER 00041 00042 #ifndef EVAL_NEW_POINT_TAILORED_APPROACH_STEP_H 00043 #define EVAL_NEW_POINT_TAILORED_APPROACH_STEP_H 00044 00045 #include "MoochoPack_Types.hpp" 00046 #include "IterationPack_AlgorithmStep.hpp" 00047 #include "ConstrainedOptPack_VariableBoundsTester.hpp" 00048 #include "NLPInterfacePack_NLPDirectTester.hpp" 00049 #include "Teuchos_StandardCompositionMacros.hpp" 00050 #include "Teuchos_StandardMemberCompositionMacros.hpp" 00051 00052 namespace MoochoPack { 00053 00060 class EvalNewPointTailoredApproach_Step 00061 : public IterationPack::AlgorithmStep // doxygen needs full path 00062 { 00063 public: 00064 00068 enum EFDDerivTesting { FD_DEFAULT, FD_TEST, FD_NO_TEST }; 00070 00073 00075 typedef Teuchos::RCP<const MatrixOp> D_ptr_t; 00077 STANDARD_COMPOSITION_MEMBERS( NLPDirectTester, deriv_tester ); 00079 STANDARD_COMPOSITION_MEMBERS( VariableBoundsTester, bounds_tester ); 00084 STANDARD_MEMBER_COMPOSITION_MEMBERS( EFDDerivTesting, fd_deriv_testing ); 00085 00087 EvalNewPointTailoredApproach_Step( 00088 const deriv_tester_ptr_t& deriv_tester 00089 , const bounds_tester_ptr_t& bounds_tester 00090 , EFDDerivTesting fd_deriv_testing = FD_DEFAULT 00091 ); 00092 00094 00098 bool do_step(Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type 00099 , poss_type assoc_step_poss); 00101 void print_step( const Algorithm& algo, poss_type step_poss, IterationPack::EDoStepType type 00102 , poss_type assoc_step_poss, std::ostream& out, const std::string& leading_str ) const; 00104 00107 00112 virtual void uninitialize_Y_Uy( 00113 MatrixOp *Y 00114 ,MatrixOp *Uy 00115 ) = 0; 00116 00130 virtual void calc_py_Y_Uy( 00131 const NLPDirect &nlp 00132 ,const D_ptr_t &D 00133 ,VectorMutable *py 00134 ,MatrixOp *Y 00135 ,MatrixOp *Uy 00136 ,EJournalOutputLevel olevel 00137 ,std::ostream &out 00138 ) = 0; 00139 00146 virtual void recalc_py( 00147 const MatrixOp &D 00148 ,VectorMutable *py 00149 ,EJournalOutputLevel olevel 00150 ,std::ostream &out 00151 ) = 0; 00152 00155 virtual void print_calc_py_Y_Uy( 00156 std::ostream& out, const std::string& leading_str 00157 ) const = 0; 00158 00160 00161 private: 00162 00163 // Not defined and not to be called 00164 EvalNewPointTailoredApproach_Step(); 00165 00166 }; // end class EvalNewPointTailoredApproach_Step 00167 00168 } // end namespace MoochoPack 00169 00170 #endif // EVAL_NEW_POINT_TAILORED_APPROACH_STEP_H
1.7.6.1