| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/ |
| H A D | NPSOLOptimizer.cpp | 63 NPSOLOptimizer::NPSOLOptimizer(ProblemDescDB& problem_db, Model& model): in NPSOLOptimizer() argument
64 Optimizer(problem_db, model, std::shared_ptr<TraitsBase>(new NPSOLTraits())), in NPSOLOptimizer()
279 NPSOLOptimizer* new_NPSOLOptimizer(ProblemDescDB& problem_db) in new_NPSOLOptimizer() argument
285 return new NPSOLOptimizer(problem_db); in new_NPSOLOptimizer()
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| H A D | DakotaSurrogatesGP.hpp | 32 SurrogatesGPApprox(const ProblemDescDB& problem_db,
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| H A D | MixedVarConstraints.hpp | 45 MixedVarConstraints(const ProblemDescDB& problem_db,
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| H A D | RelaxedVarConstraints.hpp | 46 RelaxedVarConstraints(const ProblemDescDB& problem_db,
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| H A D | GridApplicInterface.cpp | 49 GridApplicInterface(const ProblemDescDB& problem_db): in GridApplicInterface() argument
50 SysCallApplicInterface(problem_db) in GridApplicInterface()
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| H A D | SeqHybridMetaIterator.hpp | 56 SeqHybridMetaIterator(ProblemDescDB& problem_db);
58 SeqHybridMetaIterator(ProblemDescDB& problem_db, Model& model);
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| H A D | DakotaPStudyDACE.hpp | 47 PStudyDACE(ProblemDescDB& problem_db, Model& model);
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| H A D | DakotaResponse.cpp | 43 const ProblemDescDB& problem_db): in Response() argument
44 sharedRespData(problem_db) in Response()
53 bool grad_flag = (problem_db.get_string("responses.gradient_type") != "none"); in Response()
54 bool hess_flag = (problem_db.get_string("responses.hessian_type") != "none"); in Response()
78 if (problem_db.get_bool("responses.read_field_coordinates")) { in Response()
152 Response(short type, const Variables& vars, const ProblemDescDB& problem_db): in Response() argument
154 responseRep(get_response(type, vars, problem_db)) in Response()
219 const ProblemDescDB& problem_db) const in get_response()
224 return std::make_shared<SimulationResponse>(vars, problem_db); break; in get_response()
226 return std::make_shared<ExperimentResponse>(vars, problem_db); break; in get_response()
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| H A D | NLSSOLLeastSq.hpp | 91 NLSSOLLeastSq(ProblemDescDB& problem_db, Model& model);
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| H A D | PEBBLMinimizer.hpp | 52 PebbldMinimizer(ProblemDescDB& problem_db, Model& model);
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| H A D | SimulationResponse.hpp | 56 SimulationResponse(const Variables& vars, const ProblemDescDB& problem_db);
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| H A D | TaylorApproximation.hpp | 43 TaylorApproximation(ProblemDescDB& problem_db,
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| H A D | ScalingOptions.hpp | 32 ScalingOptions(const ProblemDescDB& problem_db, const SharedResponseData& srd);
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| H A D | NLSSOLLeastSq.cpp | 44 NLSSOLLeastSq::NLSSOLLeastSq(ProblemDescDB& problem_db, Model& model): in NLSSOLLeastSq() argument
45 LeastSq(problem_db, model, std::shared_ptr<TraitsBase>(new NLSSOLLeastSqTraits())), SOLBase(model) in NLSSOLLeastSq()
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| H A D | SurrBasedGlobalMinimizer.cpp | 32 SurrBasedGlobalMinimizer(ProblemDescDB& problem_db, Model& model): in SurrBasedGlobalMinimizer() argument
33 SurrBasedMinimizer(problem_db, model, std::shared_ptr<TraitsBase>(new SurrBasedGlobalTraits())), in SurrBasedGlobalMinimizer()
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| H A D | RichExtrapVerification.hpp | 38 RichExtrapVerification(ProblemDescDB& problem_db, Model& model);
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| H A D | NonDLocalInterval.hpp | 43 NonDLocalInterval(ProblemDescDB& problem_db, Model& model); ///< constructor
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| H A D | GridApplicInterface.hpp | 52 GridApplicInterface(const ProblemDescDB& problem_db);
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| H A D | NonDMultilevelStochCollocation.hpp | 40 NonDMultilevelStochCollocation(ProblemDescDB& problem_db, Model& model);
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| H A D | DakotaApproximation.hpp | 52 Approximation(ProblemDescDB& problem_db, const SharedApproxData& shared_data,
350 Approximation(BaseConstructor, const ProblemDescDB& problem_db,
401 get_approx(ProblemDescDB& problem_db, const SharedApproxData& shared_data,
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| H A D | DataFitSurrBasedLocalMinimizer.hpp | 79 DataFitSurrBasedLocalMinimizer(ProblemDescDB& problem_db, Model& model);
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| H A D | NonDDREAMBayesCalibration.hpp | 40 NonDDREAMBayesCalibration(ProblemDescDB& problem_db, Model& model);
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| H A D | DakotaNonD.cpp | 34 NonD::NonD(ProblemDescDB& problem_db, Model& model): in NonD() argument
35 Analyzer(problem_db, model), in NonD()
36 respLevelTarget(problem_db.get_short("method.nond.response_level_target")), in NonD()
38 problem_db.get_short("method.nond.response_level_target_reduce")), in NonD()
39 requestedRespLevels(problem_db.get_rva("method.nond.response_levels")), in NonD()
40 requestedProbLevels(problem_db.get_rva("method.nond.probability_levels")), in NonD()
41 requestedRelLevels(problem_db.get_rva("method.nond.reliability_levels")), in NonD()
43 problem_db.get_rva("method.nond.gen_reliability_levels")), in NonD()
45 cdfFlag(problem_db.get_short("method.nond.distribution") != COMPLEMENTARY), in NonD()
47 finalMomentsType(problem_db.get_short("method.nond.final_moments")) in NonD()
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/api/java/ |
| H A D | DartSerialDirectApplicInterface.hpp | 22 DartSerialDirectApplicInterface(const Dakota::ProblemDescDB& problem_db, DakotaFunctor* f);
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| H A D | DakotaUtils.hpp | 28 void connect_plugin(Dakota::ProblemDescDB *problem_db, DakotaFunctor *f);
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