/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/ |
H A D | DataFitSurrBasedLocalMinimizer.cpp | 41 if (iteratedModel.surrogate_type() == "hierarchical") { in DataFitSurrBasedLocalMinimizer() 47 Model& truth_model = iteratedModel.truth_model(); in DataFitSurrBasedLocalMinimizer() 48 Model& approx_model = iteratedModel.surrogate_model(); in DataFitSurrBasedLocalMinimizer() 201 iteratedModel.continuous_lower_bounds(globalLowerBnds); in post_run() 202 iteratedModel.continuous_upper_bounds(globalUpperBnds); in post_run() 259 iteratedModel.truth_model().interface_id(), in build() 288 embed_correction = iteratedModel.build_approximation( in build_global() 316 iteratedModel.build_approximation(); in build_centered() 410 Model& truth_model = iteratedModel.truth_model(); in verify() 507 Model& truth_model = iteratedModel.truth_model(); in find_center_truth() [all …]
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H A D | ParamStudy.cpp | 337 = iteratedModel.response_labels(); in archive_allocate_sets() 478 if (iteratedModel.asynch_flag()) in vector_loop() 653 iteratedModel.current_variables().copy()); in load_distribute_points() 1093 = iteratedModel.continuous_variable_labels(); in archive_allocate_cps() 1095 = iteratedModel.discrete_int_variable_labels(); in archive_allocate_cps() 1101 = iteratedModel.response_labels(); in archive_allocate_cps() 1165 = iteratedModel.continuous_variable_labels(); in archive_cps_vars() 1167 = iteratedModel.discrete_int_variable_labels(); in archive_cps_vars() 1173 = iteratedModel.response_labels(); in archive_cps_vars() 1240 = iteratedModel.continuous_variable_labels(); in archive_cps_resp() [all …]
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H A D | NOWPACOptimizer.cpp | 28 nowpacEvaluator(iteratedModel) in NOWPACOptimizer() 40 nowpacEvaluator(iteratedModel) in NOWPACOptimizer() 177 iteratedModel.continuous_upper_bounds()); in core_run() 253 if (iteratedModel.num_nonlinear_eq_constraints()) { in allocate_constraints() 258 if (iteratedModel.num_linear_eq_constraints()) { in allocate_constraints() 300 = iteratedModel.linear_ineq_constraint_lower_bounds(); in allocate_constraints() 302 = iteratedModel.linear_ineq_constraint_upper_bounds(); in allocate_constraints() 334 = iteratedModel.current_response().function_values(); in evaluate() 355 = iteratedModel.linear_ineq_constraint_coeffs(); in evaluate() 384 = iteratedModel.current_response().function_values(); in evaluate() [all …]
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H A D | DOTOptimizer.cpp | 104 Iterator sub_iterator = iteratedModel.subordinate_iterator(); in initialize() 111 ModelList& sub_models = iteratedModel.subordinate_models(); in initialize() 147 const String& grad_type = iteratedModel.gradient_type(); in initialize() 148 const String& method_src = iteratedModel.method_source(); in initialize() 149 const String& interval_type = iteratedModel.interval_type(); in initialize() 196 num_lin_eq = iteratedModel.num_linear_eq_constraints(); in allocate_constraints() 317 = iteratedModel.linear_ineq_constraint_coeffs(); in core_run() 319 = iteratedModel.linear_eq_constraint_coeffs(); in core_run() 349 if (iteratedModel.gradient_type() == "numerical") in core_run() 396 iteratedModel.continuous_variables(designVars); in core_run() [all …]
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H A D | DakotaPStudyDACE.cpp | 38 if (iteratedModel.gradient_type() == "numerical" && in PStudyDACE() 39 iteratedModel.method_source() == "vendor") { in PStudyDACE() 52 if (iteratedModel.gradient_type() == "numerical" && in PStudyDACE() 53 iteratedModel.method_source() == "vendor") { in PStudyDACE() 110 iteratedModel.continuous_variable_labels(), empty_view, empty_view, in print_results() 111 empty_view, iteratedModel.response_labels()); in print_results() 115 iteratedModel.continuous_variable_labels(), in print_results() 116 iteratedModel.discrete_int_variable_labels(), in print_results() 117 iteratedModel.discrete_string_variable_labels(), in print_results() 118 iteratedModel.discrete_real_variable_labels(), in print_results() [all …]
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H A D | SNLLOptimizer.cpp | 251 iteratedModel.interval_type(), in SNLLOptimizer() 252 iteratedModel.fd_gradient_step_size(), in SNLLOptimizer() 286 iteratedModel.interval_type(), in SNLLOptimizer() 287 iteratedModel.fd_gradient_step_size(), in SNLLOptimizer() 839 iteratedModel.continuous_variables(), in initialize_run() 841 iteratedModel.continuous_lower_bounds(), in initialize_run() 842 iteratedModel.continuous_upper_bounds(), in initialize_run() 843 iteratedModel.linear_ineq_constraint_coeffs(), in initialize_run() 846 iteratedModel.linear_eq_constraint_coeffs(), in initialize_run() 847 iteratedModel.linear_eq_constraint_targets(), in initialize_run() [all …]
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H A D | HierarchSurrBasedLocalMinimizer.cpp | 37 if (iteratedModel.surrogate_type() != "hierarchical") { in HierarchSurrBasedLocalMinimizer() 44 ModelList& models = iteratedModel.subordinate_models(false); in HierarchSurrBasedLocalMinimizer() 406 iteratedModel.active_variables(tr_data.vars_center()); in build_center_truth() 412 iteratedModel.build_approximation(); in build_center_truth() 456 iteratedModel.recursive_apply(v_star, corr_resp); in minimize() 476 Model& truth_model = iteratedModel.truth_model(); in verify() 479 iteratedModel.component_parallel_mode(TRUTH_MODEL_MODE); in verify() 587 iteratedModel.active_variables(v_center); in find_center_approx() 608 iteratedModel.active_variables(v_star); in find_star_approx() 610 tr_data.response_star(iteratedModel.current_response(), in find_star_approx() [all …]
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H A D | SNLLLeastSq.cpp | 122 iteratedModel.interval_type(), in SNLLLeastSq() 123 iteratedModel.fd_gradient_step_size(), in SNLLLeastSq() 211 iteratedModel.interval_type(), in SNLLLeastSq() 212 iteratedModel.fd_gradient_step_size(), in SNLLLeastSq() 305 = snllLSqInstance->iteratedModel.current_response(); in nlf2_evaluator_gn() 494 iteratedModel.continuous_variables(), in initialize_run() 496 iteratedModel.continuous_lower_bounds(), in initialize_run() 497 iteratedModel.continuous_upper_bounds(), in initialize_run() 498 iteratedModel.linear_ineq_constraint_coeffs(), in initialize_run() 501 iteratedModel.linear_eq_constraint_coeffs(), in initialize_run() [all …]
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H A D | CONMINOptimizer.cpp | 61 Iterator sub_iterator = iteratedModel.subordinate_iterator(); in initialize() 68 ModelList& sub_models = iteratedModel.subordinate_models(); in initialize() 123 const String& grad_type = iteratedModel.gradient_type(); in initialize() 124 const String& method_src = iteratedModel.method_source(); in initialize() 177 num_lin_eq = iteratedModel.num_linear_eq_constraints(); in allocate_constraints() 339 num_lin_eq = iteratedModel.num_linear_eq_constraints(); in core_run() 341 = iteratedModel.linear_ineq_constraint_coeffs(); in core_run() 343 = iteratedModel.linear_eq_constraint_coeffs(); in core_run() 344 const String& grad_type = iteratedModel.gradient_type(); in core_run() 411 iteratedModel.continuous_variables(local_cdv); in core_run() [all …]
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H A D | DakotaAnalyzer.cpp | 40 iteratedModel = model; in Analyzer() 83 numContinuousVars = iteratedModel.cv(); in resize() 84 numDiscreteIntVars = iteratedModel.div(); in resize() 85 numDiscreteStringVars = iteratedModel.dsv(); in resize() 86 numDiscreteRealVars = iteratedModel.drv(); in resize() 147 if (!iteratedModel.is_null()) { in initialize_run() 183 if (!iteratedModel.is_null()) in post_run() 197 if (iteratedModel.mapping_initialized()) { in finalize_run() 632 iteratedModel.current_variables(), in pre_output() 633 iteratedModel.current_response(), in pre_output() [all …]
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H A D | APPSEvalMgr.cpp | 32 dakOpt(opt), iteratedModel(model), modelAsynchFlag(1), blockingSynch(0), in APPSEvalMgr() 66 set_variables<>(apps_xtrial, iteratedModel, iteratedModel.current_variables()); in submit() 81 iteratedModel.evaluate_nowait(); in submit() 82 tagList[iteratedModel.evaluation_id()] = apps_tag; in submit() 88 iteratedModel.evaluate(); in submit() 89 functionList[apps_tag] = iteratedModel.current_response().function_values(); in submit() 113 iteratedModel.synchronize() : iteratedModel.synchronize_nowait(); in recv()
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H A D | NLSSOLLeastSq.cpp | 56 iteratedModel.gradient_type(), in NLSSOLLeastSq() 57 iteratedModel.fd_gradient_step_size()); in NLSSOLLeastSq() 69 iteratedModel.gradient_type(), in NLSSOLLeastSq() 70 iteratedModel.fd_gradient_step_size()); in NLSSOLLeastSq() 110 nlssolInstance->iteratedModel.continuous_variables(local_des_vars); in least_sq_eval() 112 nlssolInstance->iteratedModel.evaluate(nlssolInstance->activeSet); in least_sq_eval() 122 = nlssolInstance->iteratedModel.current_response(); in least_sq_eval() 172 iteratedModel.linear_ineq_constraint_coeffs(), in core_run() 173 iteratedModel.linear_eq_constraint_coeffs()); in core_run() 185 copy_data(iteratedModel.continuous_variables(), local_des_vars); in core_run() [all …]
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H A D | COLINApplication.cpp | 61 iteratedModel = model; in set_problem() 267 iteratedModel.evaluate_nowait(); in spawn_evaluation_impl() 269 return(iteratedModel.evaluation_id()); in spawn_evaluation_impl() 290 iteratedModel.evaluate(); in perform_evaluation_impl() 309 iteratedModel.synchronize() : iteratedModel.synchronize_nowait(); in evaluation_available() 354 iteratedModel.continuous_variables(cdv); in colin_request_to_dakota_request() 374 size_t j, dsi_cntr, num_div = iteratedModel.div(), in colin_request_to_dakota_request() 375 num_drv = iteratedModel.drv(), num_dsv = iteratedModel.dsv(); in colin_request_to_dakota_request() 383 iteratedModel.discrete_int_variable(ddv[j], j); in colin_request_to_dakota_request() 390 iteratedModel.discrete_real_variable(dakota_value, j); in colin_request_to_dakota_request() [all …]
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H A D | NLPQLPOptimizer.cpp | 92 Iterator sub_iterator = iteratedModel.subordinate_iterator(); in initialize() 97 ModelList& sub_models = iteratedModel.subordinate_models(); in initialize() 149 iteratedModel, in allocate_constraints() 157 + iteratedModel.num_linear_eq_constraints(); in allocate_constraints() 233 = iteratedModel.continuous_lower_bounds(); in core_run() 235 = iteratedModel.continuous_upper_bounds(); in core_run() 240 = iteratedModel.linear_ineq_constraint_coeffs(); in core_run() 242 = iteratedModel.linear_eq_constraint_coeffs(); in core_run() 244 = iteratedModel.linear_eq_constraint_targets(); in core_run() 281 iteratedModel.continuous_variables(local_cdv); in core_run() [all …]
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H A D | ROLOptimizer.cpp | 128 iteratedModel.continuous_variables(cont_vars); in core_run() 129 iteratedModel.evaluate(); in core_run() 131 iteratedModel.current_response().function_values(); in core_run() 177 get_initial_values(iteratedModel, *rolX); in set_problem() 189 get_bounds(iteratedModel, *l_rcp, *u_rcp); in set_problem() 236 if (iteratedModel.hessian_type() == "none") in set_problem() 243 obj.reset(new DakotaROLObjective(iteratedModel)); in set_problem() 256 if (iteratedModel.hessian_type() == "none") in set_problem() 282 if (iteratedModel.hessian_type() == "none") in set_problem() 345 orig_auto_graphics_flag = iteratedModel.auto_graphics(); in initialize_run() [all …]
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H A D | ConcurrentMetaIterator.hpp | 130 { return iteratedModel; } in algorithm_space_model() 144 iterSched.construct_sub_iterator(probDescDB, selectedIterator, iteratedModel, in estimate_partition_bounds() 166 if (iteratedModel.primary_response_fn_weights().empty()) { in initialize_model() 169 iteratedModel.primary_response_fn_weights(initial_wts); // trigger recast in initialize_model() 173 paramSetLen = iteratedModel.cv(); in initialize_model() 181 iteratedModel.continuous_variables(param_set); in initialize_iterator() 183 iteratedModel.continuous_variables(initialPt); // reset in initialize_iterator() 184 iteratedModel.primary_response_fn_weights(param_set); in initialize_iterator() 221 iteratedModel.interface_id(), in update_local_results()
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H A D | DakotaLeastSq.cpp | 46 weightFlag(!iteratedModel.primary_response_fn_weights().empty()), in LeastSq() 135 iteratedModel.assign_rep(std::make_shared<WeightingModel>(iteratedModel)); in weight_model() 235 iteratedModel.interface_id(), best_vars, activeSet); in print_results() 265 = iteratedModel.continuous_variable_labels(); in print_results() 285 iteratedModel.update_from_subordinate_model(myModelLayers-1); in initialize_run() 434 Response found_resp(iteratedModel.current_response().copy()); in post_run() 458 Response found_resp(iteratedModel.current_response().copy()); in post_run() 495 iteratedModel.evaluate(activeSet); in post_run() 519 iteratedModel.evaluate(activeSet); in post_run() 522 iteratedModel.current_response().function_gradients(), in post_run() [all …]
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H A D | NCSUOptimizer.cpp | 116 Iterator sub_iterator = iteratedModel.subordinate_iterator(); in initialize() 121 ModelList& sub_models = iteratedModel.subordinate_models(); in initialize() 180 = ncsudirectInstance->iteratedModel.primary_response_fn_sense(); in objective_eval() 220 if (ncsudirectInstance->iteratedModel.asynch_flag()) in objective_eval() 221 ncsudirectInstance->iteratedModel.evaluate_nowait(); in objective_eval() 223 ncsudirectInstance->iteratedModel.evaluate(); in objective_eval() 226 iteratedModel.current_response().function_value(0); in objective_eval() 242 ncsudirectInstance->iteratedModel.asynch_flag()) { in objective_eval() 246 = ncsudirectInstance->iteratedModel.synchronize(); in objective_eval() 298 copy_data(iteratedModel.continuous_variables(), local_des_vars); in core_run() [all …]
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H A D | EffGlobalMinimizer.cpp | 54 bestVariablesArray.push_back(iteratedModel.current_variables().copy()); in EffGlobalMinimizer() 85 if (iteratedModel.gradient_type() != "none") dataOrder |= 2; in EffGlobalMinimizer() 86 if (iteratedModel.hessian_type() != "none") dataOrder |= 4; in EffGlobalMinimizer() 116 (dace_iterator, iteratedModel, in EffGlobalMinimizer() 341 iteratedModel.evaluate_nowait(set); in minimize_surrogates_on_model() 552 iteratedModel.continuous_variables(c_vars); in minimize_surrogates_on_model() 555 iteratedModel.evaluate(set); in minimize_surrogates_on_model() 556 … IntResponsePair resp_star_truth(iteratedModel.evaluation_id(), iteratedModel.current_response()); in minimize_surrogates_on_model() 799 iteratedModel.primary_response_fn_sense(), in get_augmented_lagrangian() 961 iteratedModel.primary_response_fn_sense(), in debug_plots() [all …]
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H A D | SurrBasedGlobalMinimizer.cpp | 38 if (iteratedModel.model_type() != "surrogate") { in SurrBasedGlobalMinimizer() 50 iteratedModel.truth_model().current_variables().copy()); in SurrBasedGlobalMinimizer() 78 = probDescDB.get_iterator(approx_method_name, iteratedModel); in SurrBasedGlobalMinimizer() 91 Model& truth_model = iteratedModel.truth_model(); in initialize_graphics() 119 Model& truth_model = iteratedModel.truth_model(); in core_run() 120 Model& approx_model = iteratedModel.surrogate_model(); in core_run() 121 Iterator& dace_iterator = iteratedModel.subordinate_iterator(); in core_run() 138 iteratedModel.build_approximation(); in core_run() 203 iteratedModel.component_parallel_mode(TRUTH_MODEL_MODE); in core_run()
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H A D | DakotaOptimizer.cpp | 86 if ( ( !have_lsq && iteratedModel.hessian_type() == "none" ) || in Optimizer() 87 ( have_lsq && iteratedModel.gradient_type() == "none" ) ) { in Optimizer() 96 bestVariablesArray.push_back(iteratedModel.current_variables().copy()); in Optimizer() 376 const Response& orig_resp = iteratedModel.current_response(); in reduce_model() 381 iteratedModel.assign_rep(std::make_shared<RecastModel> in reduce_model() 382 (iteratedModel, var_map_indices, recast_vars_comps_total, in reduce_model() 400 iteratedModel.primary_fn_type(OBJECTIVE_FNS); in reduce_model() 412 iteratedModel.primary_response_fn_sense(max_sense); in reduce_model() 519 iteratedModel, in configure_constraint_maps() 547 iteratedModel.update_from_subordinate_model(myModelLayers-1); in initialize_run() [all …]
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H A D | COLINOptimizer.cpp | 281 = iteratedModel.evaluation_capacity(); in core_run() 291 colinProblem.second->set_problem(iteratedModel); in core_run() 323 const RealVector& cv_init = iteratedModel.continuous_variables(); in core_run() 327 iteratedModel.discrete_string_variables(); in core_run() 623 if (iteratedModel.asynch_flag()) in set_solver_parameters() 960 iteratedModel.subordinate_model() : iteratedModel; in post_run() 1058 iteratedModel.primary_response_fn_sense(), in post_run() 1059 iteratedModel.primary_response_fn_weights()); in post_run() 1178 = iteratedModel.nonlinear_ineq_constraint_lower_bounds(); in constraint_violation() 1180 = iteratedModel.nonlinear_ineq_constraint_upper_bounds(); in constraint_violation() [all …]
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H A D | NonDGPImpSampling.cpp | 49 if (iteratedModel.gradient_type() != "none") data_order |= 2; in NonDGPImpSampling() 50 if (iteratedModel.hessian_type() != "none") data_order |= 4; in NonDGPImpSampling() 118 iteratedModel.init_communicators(pl_iter, maxEvalConcurrency); in derived_init_communicators() 143 iteratedModel.free_communicators(pl_iter, maxEvalConcurrency); in derived_free_communicators() 168 int num_problem_vars=iteratedModel.acv(); in core_run() 169 RealVector c_upper = iteratedModel.continuous_upper_bounds(), in core_run() 170 c_lower = iteratedModel.continuous_lower_bounds(); in core_run() 342 iteratedModel.continuous_variables(new_X); in core_run() 343 iteratedModel.evaluate(); in core_run() 344 IntResponsePair resp_truth(iteratedModel.evaluation_id(), in core_run() [all …]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/demo_tpl/dakota_src/ |
H A D | DemoOptimizer.cpp | 143 const BoolDeque& max_sense = iteratedModel.primary_response_fn_sense(); in core_run() 144 RealVector best_fns(iteratedModel.response_size()); in core_run() 175 set_variables<>(best_x, iteratedModel, bestVariablesArray.front()); in core_run() 261 get_variables(iteratedModel, init_point); in initialize_variables_and_constraints() 289 set_variables<>(x, iteratedModel, iteratedModel.current_variables()); in compute_obj() 292 iteratedModel.evaluate(); in compute_obj() 297 double f = dataTransferHandler->get_response_value_from_dakota(iteratedModel.current_response()); in compute_obj() 326 set_variables<>(x, iteratedModel, iteratedModel.current_variables()); in compute_nln_eq() 329 iteratedModel.evaluate(); in compute_nln_eq() 359 set_variables<>(x, iteratedModel, iteratedModel.current_variables()); in compute_nln_ineq() [all …]
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/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/inactive/ |
H A D | rSQPOptimizer.H | 281 { return iteratedModel.linear_ineq_constraint_lower_bounds(); } in lin_ineq_lb() 284 { return iteratedModel.linear_ineq_constraint_upper_bounds(); } in lin_ineq_ub() 287 { return iteratedModel.nonlinear_ineq_constraint_lower_bounds(); } in nonlin_ineq_lb() 290 { return iteratedModel.nonlinear_ineq_constraint_upper_bounds(); } in nonlin_ineq_ub() 293 { return iteratedModel.linear_eq_constraint_targets(); } in lin_eq_targ() 296 { return iteratedModel.nonlinear_eq_constraint_targets(); } in nonlin_eq_targ() 299 { return iteratedModel.linear_eq_constraint_coeffs(); } in lin_eq_jac() 302 { return iteratedModel.linear_ineq_constraint_coeffs(); } in lin_ineq_jac()
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