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Dakota
Version 6.15
Explore and Predict with Confidence
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Dakota
Version 6.15
Explore and Predict with Confidence
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Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ. More...
Public Member Functions | |
| NonDLHSEvidence (ProblemDescDB &problem_db, Model &model) | |
| constructor | |
| ~NonDLHSEvidence () | |
| destructor | |
| void | initialize () |
| perform any required initialization | |
| void | post_process_samples () |
| post-process the output from executing lhsSampler | |
 Public Member Functions inherited from NonDLHSInterval | |
| NonDLHSInterval (ProblemDescDB &problem_db, Model &model) | |
| constructor | |
| ~NonDLHSInterval () | |
| destructor | |
| void | derived_init_communicators (ParLevLIter pl_iter) |
| derived class contributions to initializing the communicators associated with this Iterator instance | |
| void | derived_set_communicators (ParLevLIter pl_iter) |
| derived class contributions to setting the communicators associated with this Iterator instance | |
| void | derived_free_communicators (ParLevLIter pl_iter) |
| derived class contributions to freeing the communicators associated with this Iterator instance | |
| void | core_run () |
| performs an epistemic uncertainty propagation using LHS samples | |
| Public Member Functions inherited from NonDInterval | |
| NonDInterval (ProblemDescDB &problem_db, Model &model) | |
| constructor | |
| ~NonDInterval () | |
| destructor | |
| void | print_results (std::ostream &s, short results_state=FINAL_RESULTS) |
| print the cumulative distribution functions for belief and plausibility | |
| bool | resize () |
| reinitializes iterator based on new variable size | |
| Public Member Functions inherited from NonD | |
| void | requested_levels (const RealVectorArray &req_resp_levels, const RealVectorArray &req_prob_levels, const RealVectorArray &req_rel_levels, const RealVectorArray &req_gen_rel_levels, short resp_lev_tgt, short resp_lev_tgt_reduce, bool cdf_flag, bool pdf_output) |
| set requestedRespLevels, requestedProbLevels, requestedRelLevels, requestedGenRelLevels, respLevelTarget, cdfFlag, and pdfOutput (used in combination with alternate ctors) | |
| void | print_level_mappings (std::ostream &s) const |
| prints the z/p/beta/beta* mappings reflected in {requested,computed}{Resp,Prob,Rel,GenRel}Levels for default qoi_type and qoi_labels | |
| void | print_level_mappings (std::ostream &s, String qoi_type, const StringArray &qoi_labels) const |
| prints the z/p/beta/beta* mappings reflected in {requested,computed}{Resp,Prob,Rel,GenRel}Levels More... | |
| void | print_level_mappings (std::ostream &s, const RealVector &level_maps, bool moment_offset, const String &prepend="") |
| print level mapping statistics using optional pre-pend More... | |
| bool | pdf_output () const |
| get pdfOutput | |
| void | pdf_output (bool output) |
| set pdfOutput | |
| short | final_moments_type () const |
| get finalMomentsType | |
| void | final_moments_type (short type) |
| set finalMomentsType | |
| Public Member Functions inherited from Analyzer | |
| const VariablesArray & | all_variables () |
| return the complete set of evaluated variables | |
| const RealMatrix & | all_samples () |
| return the complete set of evaluated samples | |
| const IntResponseMap & | all_responses () const |
| return the complete set of computed responses | |
| int | num_samples () const |
| virtual void | vary_pattern (bool pattern_flag) |
| sets varyPattern in derived classes that support it | |
| Public Member Functions inherited from Iterator | |
| Iterator (std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase())) | |
| default constructor More... | |
| Iterator (ProblemDescDB &problem_db, std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase())) | |
| alternate envelope constructor that assigns a representation pointer More... | |
| Iterator (ProblemDescDB &problem_db, Model &model, std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase())) | |
| alternate envelope constructor which uses the ProblemDescDB but accepts a model from a higher level (meta-iterator) context, instead of constructing its own More... | |
| Iterator (const String &method_string, Model &model, std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase())) | |
| alternate envelope constructor for instantiations by name without the ProblemDescDB More... | |
| Iterator (const Iterator &iterator) | |
| copy constructor More... | |
| virtual | ~Iterator () |
| destructor | |
| Iterator | operator= (const Iterator &iterator) |
| assignment operator | |
| virtual void | post_input () |
| read tabular data for post-run mode | |
| virtual void | reset () |
| restore initial state for repeated sub-iterator executions | |
| virtual void | nested_variable_mappings (const SizetArray &c_index1, const SizetArray &di_index1, const SizetArray &ds_index1, const SizetArray &dr_index1, const ShortArray &c_target2, const ShortArray &di_target2, const ShortArray &ds_target2, const ShortArray &dr_target2) |
| set primaryA{CV,DIV,DRV}MapIndices, secondaryA{CV,DIV,DRV}MapTargets within derived Iterators; supports computation of higher-level sensitivities in nested contexts (e.g., derivatives of statistics w.r.t. inserted design variables) | |
| virtual void | nested_response_mappings (const RealMatrix &primary_coeffs, const RealMatrix &secondary_coeffs) |
| set primaryResponseCoefficients, secondaryResponseCoefficients within derived Iterators; Necessary for scalarization case in MLMC NonDMultilevelSampling to map scalarization in nested context | |
| virtual void | initialize_iterator (int job_index) |
| used by IteratorScheduler to set the starting data for a run | |
| virtual void | pack_parameters_buffer (MPIPackBuffer &send_buffer, int job_index) |
| used by IteratorScheduler to pack starting data for an iterator run | |
| virtual void | unpack_parameters_buffer (MPIUnpackBuffer &recv_buffer, int job_index) |
| used by IteratorScheduler to unpack starting data for an iterator run | |
| virtual void | unpack_parameters_initialize (MPIUnpackBuffer &recv_buffer, int job_index) |
| used by IteratorScheduler to unpack starting data and initialize an iterator run | |
| virtual void | pack_results_buffer (MPIPackBuffer &send_buffer, int job_index) |
| used by IteratorScheduler to pack results data from an iterator run | |
| virtual void | unpack_results_buffer (MPIUnpackBuffer &recv_buffer, int job_index) |
| used by IteratorScheduler to unpack results data from an iterator run | |
| virtual void | update_local_results (int job_index) |
| used by IteratorScheduler to update local results arrays | |
| virtual const RealVector & | response_error_estimates () const |
| return error estimates associated with the final iterator solution | |
| virtual bool | accepts_multiple_points () const |
| indicates if this iterator accepts multiple initial points. Default return is false. Override to return true if appropriate. | |
| virtual void | initial_point (const Variables &pt) |
| sets the initial point for this iterator (user-functions mode for which Model updating is not used) | |
| virtual void | initial_point (const RealVector &pt) |
| sets the initial point (active continuous variables) for this iterator (user-functions mode for which Model updating is not used) | |
| virtual void | initial_points (const VariablesArray &pts) |
| sets the multiple initial points for this iterator. This should only be used if accepts_multiple_points() returns true. | |
| virtual void | variable_bounds (const RealVector &cv_lower_bnds, const RealVector &cv_upper_bnds) |
| assign nonlinear inequality and equality constraint allowables for this iterator (user-functions mode for which Model updating is not used) | |
| virtual void | linear_constraints (const RealMatrix &lin_ineq_coeffs, const RealVector &lin_ineq_lb, const RealVector &lin_ineq_ub, const RealMatrix &lin_eq_coeffs, const RealVector &lin_eq_tgt) |
| assign linear inequality and linear equality constraints for this iterator (user-functions mode for which Model updating is not used) | |
| virtual void | nonlinear_constraints (const RealVector &nln_ineq_lb, const RealVector &nln_ineq_ub, const RealVector &nln_eq_tgt) |
| assign nonlinear inequality and equality constraint allowables for this iterator (user-functions mode for which Model updating is not used) | |
| virtual void | initialize_graphics (int iterator_server_id=1) |
| initialize the 2D graphics window and the tabular graphics data More... | |
| virtual unsigned short | uses_method () const |
| return name of any enabling iterator used by this iterator More... | |
| virtual void | method_recourse () |
| perform a method switch, if possible, due to a detected conflict | |
| virtual void | sampling_reset (int min_samples, bool all_data_flag, bool stats_flag) |
| reset sampling iterator to use at least min_samples | |
| virtual void | sampling_reference (int samples_ref) |
| set reference number of samples, which is a lower bound during reset | |
| virtual void | sampling_increment () |
| increment to next in sequence of refinement samples | |
| virtual void | random_seed (int seed) |
| set randomSeed, if present | |
| virtual unsigned short | sampling_scheme () const |
| return sampling name | |
| virtual IntIntPair | estimate_partition_bounds () |
| estimate the minimum and maximum partition sizes that can be utilized by this Iterator | |
| virtual void | declare_sources () |
| Declare sources to the evaluations database. | |
| void | init_communicators (ParLevLIter pl_iter) |
| initialize the communicators associated with this Iterator instance | |
| void | set_communicators (ParLevLIter pl_iter) |
| set the communicators associated with this Iterator instance | |
| void | free_communicators (ParLevLIter pl_iter) |
| free the communicators associated with this Iterator instance | |
| void | resize_communicators (ParLevLIter pl_iter, bool reinit_comms) |
| Resize the communicators. This is called from the letter's resize() | |
| void | parallel_configuration_iterator (ParConfigLIter pc_iter) |
| set methodPCIter | |
| ParConfigLIter | parallel_configuration_iterator () const |
| return methodPCIter | |
| void | run (ParLevLIter pl_iter) |
| invoke set_communicators(pl_iter) prior to run() | |
| void | run () |
| orchestrate initialize/pre/core/post/finalize phases More... | |
| void | assign_rep (std::shared_ptr< Iterator > iterator_rep) |
| replaces existing letter with a new one More... | |
| void | iterated_model (const Model &model) |
| set the iteratedModel (iterators and meta-iterators using a single model instance) | |
| Model & | iterated_model () |
| return the iteratedModel (iterators & meta-iterators using a single model instance) | |
| ProblemDescDB & | problem_description_db () const |
| return the problem description database (probDescDB) | |
| ParallelLibrary & | parallel_library () const |
| return the parallel library (parallelLib) | |
| void | method_name (unsigned short m_name) |
| set the method name to an enumeration value | |
| unsigned short | method_name () const |
| return the method name via its native enumeration value | |
| void | method_string (const String &m_str) |
| set the method name by string | |
| String | method_string () const |
| return the method name by string | |
| String | method_enum_to_string (unsigned short method_enum) const |
| convert a method name enumeration value to a string | |
| unsigned short | method_string_to_enum (const String &method_str) const |
| convert a method name string to an enumeration value | |
| String | submethod_enum_to_string (unsigned short submethod_enum) const |
| convert a sub-method name enumeration value to a string | |
| const String & | method_id () const |
| return the method identifier (methodId) | |
| int | maximum_evaluation_concurrency () const |
| return the maximum evaluation concurrency supported by the iterator | |
| void | maximum_evaluation_concurrency (int max_conc) |
| set the maximum evaluation concurrency supported by the iterator | |
| size_t | maximum_iterations () const |
| return the maximum iterations for this iterator | |
| void | maximum_iterations (size_t max_iter) |
| set the maximum iterations for this iterator | |
| void | convergence_tolerance (Real conv_tol) |
| set the method convergence tolerance (convergenceTol) | |
| Real | convergence_tolerance () const |
| return the method convergence tolerance (convergenceTol) | |
| void | output_level (short out_lev) |
| set the method output level (outputLevel) | |
| short | output_level () const |
| return the method output level (outputLevel) | |
| void | summary_output (bool summary_output_flag) |
| Set summary output control; true enables evaluation/results summary. | |
| size_t | num_final_solutions () const |
| return the number of solutions to retain in best variables/response arrays | |
| void | num_final_solutions (size_t num_final) |
| set the number of solutions to retain in best variables/response arrays | |
| void | active_set (const ActiveSet &set) |
| set the default active set (for use with iterators that employ evaluate_parameter_sets()) | |
| const ActiveSet & | active_set () const |
| return the default active set (used by iterators that employ evaluate_parameter_sets()) | |
| void | active_set_request_vector (const ShortArray &asv) |
| return the default active set request vector (used by iterators that employ evaluate_parameter_sets()) | |
| const ShortArray & | active_set_request_vector () const |
| return the default active set request vector (used by iterators that employ evaluate_parameter_sets()) | |
| void | active_set_request_values (short asv_val) |
| return the default active set request vector (used by iterators that employ evaluate_parameter_sets()) | |
| void | sub_iterator_flag (bool si_flag) |
| set subIteratorFlag (and update summaryOutputFlag if needed) | |
| bool | is_null () const |
| function to check iteratorRep (does this envelope contain a letter?) | |
| std::shared_ptr< Iterator > | iterator_rep () const |
| returns iteratorRep for access to derived class member functions that are not mapped to the top Iterator level | |
| virtual void | eval_tag_prefix (const String &eval_id_str) |
| set the hierarchical eval ID tag prefix More... | |
| std::shared_ptr< TraitsBase > | traits () const |
| returns methodTraits for access to derived class member functions that are not mapped to the top TraitsBase level | |
| bool | top_level () |
| Return whether the iterator is the top level iterator. | |
| void | top_level (const bool &tflag) |
| Set the iterator's top level flag. | |
Additional Inherited Members | |
| Protected Member Functions inherited from NonDInterval | |
| void | initialize_final_statistics () |
| initialize finalStatistics for belief/plausibility results sets | |
| void | compute_evidence_statistics () |
| method for computing belief and plausibility values for response levels or vice-versa | |
| void | calculate_cells_and_bpas () |
| computes the interval combinations (cells) and their bpas replaces CBPIIC_F77 from wrapper calculate_basic_prob_intervals() | |
| void | calculate_cbf_cpf (bool complementary=true) |
| function to compute (complementary) distribution functions on belief and plausibility replaces CCBFPF_F77 from wrapper calculate_cum_belief_plaus() | |
| Static Protected Member Functions inherited from Iterator | |
| static void | gnewton_set_recast (const Variables &recast_vars, const ActiveSet &recast_set, ActiveSet &sub_model_set) |
| conversion of request vector values for the Gauss-Newton Hessian approximation More... | |
| Protected Attributes inherited from NonDLHSInterval | |
| Iterator | lhsSampler |
| the LHS sampler instance | |
| const int | seedSpec |
| the user seed specification (default is 0) | |
| int | numSamples |
| the number of samples used | |
| String | rngName |
| name of the random number generator | |
| Static Protected Attributes inherited from NonD | |
| static NonD * | nondInstance |
| pointer to the active object instance used within static evaluator functions in order to avoid the need for static data | |
Class for the Dempster-Shafer Evidence Theory methods within DAKOTA/UQ.
The NonDEvidence class implements the propagation of epistemic uncertainty using Dempster-Shafer theory of evidence. In this approach, one assigns a set of basic probability assignments (BPA) to intervals defined for the uncertain variables. Input interval combinations are calculated, along with their BPA. Currently, the response function is evaluated at a set of sample points, then a response surface is constructed which is sampled extensively to find the minimum and maximum within each input interval cell, corresponding to the belief and plausibility within that cell, respectively. This data is then aggregated to calculate cumulative distribution functions for belief and plausibility.
1.8.4
