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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_COORDINATE_STEP_H 00043 #define EVAL_NEW_POINT_TAILORED_APPROACH_COORDINATE_STEP_H 00044 00045 #include "MoochoPack_EvalNewPointTailoredApproach_Step.hpp" 00046 00047 namespace MoochoPack { 00048 00055 class EvalNewPointTailoredApproachCoordinate_Step 00056 : public EvalNewPointTailoredApproach_Step 00057 { 00058 public: 00059 00061 EvalNewPointTailoredApproachCoordinate_Step( 00062 const deriv_tester_ptr_t& deriv_tester 00063 , const bounds_tester_ptr_t& bounds_tester 00064 , EFDDerivTesting fd_deriv_testing = FD_DEFAULT 00065 ); 00066 00067 protected: 00068 00071 00073 void uninitialize_Y_Uy( 00074 MatrixOp *Y 00075 ,MatrixOp *Uy 00076 ); 00078 void calc_py_Y_Uy( 00079 const NLPDirect &nlp 00080 ,const D_ptr_t &D 00081 ,VectorMutable *py 00082 ,MatrixOp *Y 00083 ,MatrixOp *Uy 00084 ,EJournalOutputLevel olevel 00085 ,std::ostream &out 00086 ); 00088 void recalc_py( 00089 const MatrixOp &D 00090 ,VectorMutable *py 00091 ,EJournalOutputLevel olevel 00092 ,std::ostream &out 00093 ); 00095 void print_calc_py_Y_Uy( 00096 std::ostream& out, const std::string& leading_str 00097 ) const; 00098 00100 00101 private: 00102 // not defined and not to be called 00103 EvalNewPointTailoredApproachCoordinate_Step(); 00104 00105 }; // end class EvalNewPointTailoredApproachCoordinate_Step 00106 00107 } // end namespace MoochoPack 00108 00109 #endif // EVAL_NEW_POINT_TAILORED_APPROACH_COORDINATE_STEP_H
1.7.6.1