|
NLPInterfacePack: C++ Interfaces and Implementation for Non-Linear Programs
Version of the Day
|
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 #include <assert.h> 00043 00044 #include "NLPInterfacePack_test_nlp_first_order.hpp" 00045 #include "NLPInterfacePack_CalcFiniteDiffProd.hpp" 00046 #include "NLPInterfacePack_CalcFiniteDiffProdSetOptions.hpp" 00047 #include "NLPInterfacePack_NLPTester.hpp" 00048 #include "NLPInterfacePack_NLPTesterSetOptions.hpp" 00049 #include "NLPInterfacePack_NLPFirstDerivTester.hpp" 00050 #include "NLPInterfacePack_NLPFirstDerivTesterSetOptions.hpp" 00051 #include "NLPInterfacePack_NLPFirstOrder.hpp" 00052 #include "AbstractLinAlgPack_VectorSpace.hpp" 00053 #include "AbstractLinAlgPack_VectorSpaceTester.hpp" 00054 #include "AbstractLinAlgPack_VectorSpaceTesterSetOptions.hpp" 00055 #include "AbstractLinAlgPack_VectorMutable.hpp" 00056 #include "AbstractLinAlgPack_VectorOut.hpp" 00057 #include "AbstractLinAlgPack_MatrixOp.hpp" 00058 #include "AbstractLinAlgPack_MatrixOpOut.hpp" 00059 #include "TestingHelperPack_update_success.hpp" 00060 #include "Teuchos_FancyOStream.hpp" 00061 00062 bool NLPInterfacePack::test_nlp_first_order( 00063 NLPFirstOrder *nlp 00064 ,OptionsFromStreamPack::OptionsFromStream *options 00065 ,std::ostream *out 00066 ) 00067 { 00068 namespace rcp = MemMngPack; 00069 using TestingHelperPack::update_success; 00070 00071 bool result; 00072 bool success = true; 00073 00074 Teuchos::VerboseObjectTempState<NLP> 00075 nlpOutputTempState(Teuchos::rcp(nlp,false),Teuchos::getFancyOStream(Teuchos::rcp(out,false)),Teuchos::VERB_LOW); 00076 00077 if(out) 00078 *out << "\n*********************************" 00079 << "\n*** test_nlp_first_order(...) ***" 00080 << "\n*********************************\n"; 00081 00082 nlp->initialize(true); 00083 00084 // Test the DVector spaces 00085 if(out) 00086 *out << "\nTesting the vector spaces ...\n"; 00087 00088 VectorSpaceTester vec_space_tester; 00089 if(options) { 00090 VectorSpaceTesterSetOptions 00091 opt_setter(&vec_space_tester); 00092 opt_setter.set_options(*options); 00093 } 00094 00095 if(out) 00096 *out << "\nTesting nlp->space_x() ...\n"; 00097 result = vec_space_tester.check_vector_space(*nlp->space_x(),out); 00098 if(out) { 00099 if(result) 00100 *out << "nlp->space_x() checks out!\n"; 00101 else 00102 *out << "nlp->space_x() check failed!\n"; 00103 } 00104 update_success( result, &success ); 00105 00106 if( nlp->m() ) { 00107 if(out) 00108 *out << "\nTesting nlp->space_c() ...\n"; 00109 result = vec_space_tester.check_vector_space(*nlp->space_c(),out); 00110 if(out) { 00111 if(result) 00112 *out << "nlp->space_c() checks out!\n"; 00113 else 00114 *out << "nlp->space_c() check failed!\n"; 00115 } 00116 update_success( result, &success ); 00117 } 00118 00119 // Test the NLP interface first! 00120 00121 NLPTester nlp_tester; 00122 if(options) { 00123 NLPTesterSetOptions 00124 nlp_tester_opt_setter(&nlp_tester); 00125 nlp_tester_opt_setter.set_options(*options); 00126 } 00127 const bool print_all_warnings = nlp_tester.print_all(); 00128 00129 result = nlp_tester.test_interface( 00130 nlp, nlp->xinit(), print_all_warnings, out ); 00131 update_success( result, &success ); 00132 00133 // Test the NLPFirstOrder interface now! 00134 00135 const size_type 00136 n = nlp->n(), 00137 m = nlp->m(); 00138 VectorSpace::vec_mut_ptr_t 00139 c = m ? nlp->space_c()->create_member() : Teuchos::null, 00140 Gf = nlp->space_x()->create_member(); 00141 NLPFirstOrder::mat_fcty_ptr_t::element_type::obj_ptr_t 00142 Gc = m ? nlp->factory_Gc()->create() : Teuchos::null; 00143 00144 if(m) { 00145 if(out) 00146 *out << "\nCalling nlp->calc_Gc(...) at nlp->xinit() ...\n"; 00147 nlp->set_Gc( Gc.get() ); 00148 nlp->calc_Gc( nlp->xinit(), true ); 00149 if(nlp_tester.print_all()) { 00150 *out << "\nGc =\n" << *Gc; 00151 } 00152 } 00153 00154 if(out) 00155 *out << "\nCalling nlp->calc_Gf(...) at nlp->xinit() ...\n"; 00156 nlp->set_Gf( Gf.get() ); 00157 nlp->calc_Gf( nlp->xinit(), m == 0 ); 00158 if(nlp_tester.print_all()) 00159 *out << "\nGf =\n" << *Gf; 00160 00161 CalcFiniteDiffProd 00162 calc_fd_prod; 00163 if(options) { 00164 CalcFiniteDiffProdSetOptions 00165 options_setter( &calc_fd_prod ); 00166 options_setter.set_options(*options); 00167 } 00168 NLPFirstDerivTester 00169 nlp_first_derivatives_tester(Teuchos::rcp(&calc_fd_prod,false)); 00170 if(options) { 00171 NLPFirstDerivTesterSetOptions 00172 nlp_tester_opt_setter(&nlp_first_derivatives_tester); 00173 nlp_tester_opt_setter.set_options(*options); 00174 } 00175 result = nlp_first_derivatives_tester.finite_diff_check( 00176 nlp, nlp->xinit() 00177 ,nlp->num_bounded_x() ? &nlp->xl() : NULL 00178 ,nlp->num_bounded_x() ? &nlp->xu() : NULL 00179 ,Gc.get(), Gf.get() 00180 ,print_all_warnings, out 00181 ); 00182 update_success( result, &success ); 00183 00184 return success; 00185 }
1.7.6.1