Base class for surrogate models (DataFitSurrModel and EnsembleSurrModel). More...

Inheritance diagram for SurrogateModel:

Public Member Functions
Pecos::ProbabilityTransformation &	probability_transformation () override
	return probability transformation employed by the Model (forwarded along to ProbabilityTransformModel recasting)

void	activate_distribution_parameter_derivatives () override
	activate derivative setting w.r.t. distribution parameters

void	deactivate_distribution_parameter_derivatives () override
	deactivate derivative setting w.r.t. distribution parameters

void	trans_U_to_X (const RealVector &u_c_vars, RealVector &x_c_vars) override
	transform u-space variable values to x-space

void	trans_X_to_U (const RealVector &x_c_vars, RealVector &u_c_vars) override
	transform x-space variable values to u-space

void	trans_grad_X_to_U (const RealVector &fn_grad_x, RealVector &fn_grad_u, const RealVector &x_vars) override
	transform x-space gradient vector to u-space

void	trans_grad_U_to_X (const RealVector &fn_grad_u, RealVector &fn_grad_x, const RealVector &x_vars) override
	transform u-space gradient vector to x-space

void	trans_grad_X_to_S (const RealVector &fn_grad_x, RealVector &fn_grad_s, const RealVector &x_vars) override
	transform x-space gradient vector to gradient with respect to inserted distribution parameters

void	trans_hess_X_to_U (const RealSymMatrix &fn_hess_x, RealSymMatrix &fn_hess_u, const RealVector &x_vars, const RealVector &fn_grad_x) override
	transform x-space Hessian matrix to u-space

std::shared_ptr< Model >	subordinate_model () override
	return truth_model()

void	active_model_key (const Pecos::ActiveKey &key) override
	set the active model key within surrogate data, grid driver, and approximation classes that support the management of multiple approximation states within surrogate models

const Pecos::ActiveKey &	active_model_key () const override
	return the active model key (used by surrogate data, grid driver, and approximation classes to support the management of multiple approximation states within surrogate models)

Public Member Functions inherited from Model
	Model ()
	default constructor More...

	Model (ProblemDescDB &problem_db)
	standard constructor More...

	Model (const Model &model)=delete
	copy constructor

Model &	operator= (const Model &model)=delete
	assignment operator

virtual std::shared_ptr< Iterator >	subordinate_iterator ()
	return the sub-iterator in nested and surrogate models More...

virtual void	derived_subordinate_models (ModelList &ml, bool recurse_flag)
	portion of subordinate_models() specific to derived model classes

virtual void	resize_from_subordinate_model (size_t depth=SZ_MAX)
	resize vars/resp if needed from the bottom up

virtual void	update_from_subordinate_model (size_t depth=SZ_MAX)
	propagate vars/labels/bounds/targets from the bottom up More...

virtual std::shared_ptr< Interface >	derived_interface ()
	return the interface employed by the derived model class, if present: SimulationModel::userDefinedInterface, DataFitSurrModel::approxInterface, or NestedModel::optionalInterface More...

virtual void	derived_interface (std::shared_ptr< Interface >)

virtual void	primary_response_fn_weights (const RealVector &wts, bool recurse_flag=true)
	set the relative weightings for multiple objective functions or least squares terms

virtual bool	initialize_mapping (ParLevLIter pl_iter)
	Perform any global updates prior to individual evaluate() calls; returns true if the variables size has changed.

virtual bool	finalize_mapping ()
	restore state in preparation for next initialization; returns true if the variables size has changed

virtual void	stop_init_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank 0 to terminate serve_init_mapping() on other iteratorComm processors

virtual int	serve_init_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank != 0 to balance resize() calls on iteratorComm rank 0

virtual void	stop_finalize_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank 0 to terminate serve_finalize_mapping() on other iteratorComm processors

virtual int	serve_finalize_mapping (ParLevLIter pl_iter)
	called from IteratorScheduler::run_iterator() for iteratorComm rank != 0 to balance resize() calls on iteratorComm rank 0

virtual const RealVector &	error_estimates ()
	retrieve error estimates corresponding to the Model's response (could be surrogate error for SurrogateModels, statistical MSE for NestedModels, or adjoint error estimates for SimulationModels). Errors returned correspond to most recent evaluate(). TO DO: why not yet bound to SurrogateModel::approximation_variances()?

virtual void	component_parallel_mode (short mode)
	update componentParallelMode for supporting parallelism in model sub-components

virtual IntIntPair	estimate_partition_bounds (int max_eval_concurrency)
	estimate the minimum and maximum partition sizes that can be utilized by this Model

virtual void	cache_unmatched_response (int raw_id)
	migrate an unmatched response record from active response map (computed by synchronize() or synhronize_nowait()) to cached response map

virtual void	cache_unmatched_responses ()
	migrate remaining response records from responseMap to cachedResponseMap

virtual short	local_eval_synchronization ()
	return derived model synchronization setting More...

virtual int	local_eval_concurrency ()
	return derived model asynchronous evaluation concurrency More...

virtual void	serve_run (ParLevLIter pl_iter, int max_eval_concurrency)
	Service job requests received from the scheduler. Completes when a termination message is received from stop_servers().

virtual void	stop_servers ()
	Executed by the scheduler to terminate all server operations for a particular model when iteration on the model is complete.

virtual bool	derived_scheduler_overload () const
	Return a flag indicating the combination of multiprocessor evaluations and a dedicated scheduler processor for iterator-model scheduling. Used in synchronous evaluate functions to prevent the error of trying to run a multiprocessor job on the dedicated scheduler.

virtual void	create_2d_plots ()
	create 2D graphics plots for automatic logging of vars/response data

virtual void	create_tabular_datastream ()
	create a tabular output stream for automatic logging of vars/response data

virtual void	derived_auto_graphics (const Variables &vars, const Response &resp)
	Update tabular/graphics data with latest variables/response data.

virtual void	active_view (short view, bool recurse_flag=true)
	update the Model's active view based on a higher level context

virtual void	inactive_view (short view, bool recurse_flag=true)
	update the Model's inactive view based on a higher level context

virtual const String &	interface_id () const
	return the interface identifier More...

virtual bool	evaluation_cache (bool recurse_flag=true) const
	Indicates the usage of an evaluation cache by the Model. More...

virtual bool	restart_file (bool recurse_flag=true) const
	Indicates the usage of a restart file by the Model. More...

virtual void	set_evaluation_reference ()
	Set the reference points for the evaluation counters within the Model.

virtual void	fine_grained_evaluation_counters ()
	Request fine-grained evaluation reporting within the Model.

virtual void	print_evaluation_summary (std::ostream &s, bool minimal_header=false, bool relative_count=true) const
	Print an evaluation summary for the Model.

virtual void	eval_tag_prefix (const String &eval_id_str)
	set the hierarchical eval ID tag prefix More...

virtual bool	db_lookup (const Variables &search_vars, const ActiveSet &search_set, Response &found_resp)
	search the eval database (during derivative estimation); derived may need to reimplement due to problem transformations (RecastModel); return true if found in DB

virtual void	warm_start_flag (const bool flag)
	set the warm start flag (warmStartFlag)

virtual void	declare_sources ()
	Declare a model's sources to the evaluationsDB.

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{C,DI,DS,DR}VarMapIndices, secondaryA{C,DI,DS,DR}VarMapTargets (coming from a higher-level NestedModel context to inform derivative est.)

virtual const SizetArray &	nested_acv1_indices () const
	return primaryACVarMapIndices

virtual const ShortArray &	nested_acv2_targets () const
	return secondaryACVarMapTargets

virtual short	query_distribution_parameter_derivatives () const
	calculate and return derivative composition of final results w.r.t. distribution parameters (none, all, or mixed)

virtual size_t	qoi () const
	return number of unique response functions (managing any aggregations)

virtual std::shared_ptr< Model >	surrogate_model (size_t i=_NPOS)
	return the i-th approximation sub-model in surrogate models More...

virtual std::shared_ptr< const Model >	surrogate_model (size_t i=_NPOS) const
	return the i-th approximation sub-model in surrogate models

virtual std::shared_ptr< Model >	truth_model ()
	return the truth sub-model in surrogate models More...

virtual std::shared_ptr< const Model >	truth_model () const
	return the truth sub-model in surrogate models

virtual unsigned short	active_surrogate_model_form (size_t i) const
	return the model form of the i-th active surrogate model

virtual unsigned short	active_truth_model_form () const
	return the model form of the active truth model

virtual std::shared_ptr< Model >	active_surrogate_model (size_t i=_NPOS)
	return the i-th active approximation sub-model in surrogate models More...

virtual std::shared_ptr< const Model >	active_surrogate_model (size_t i=_NPOS) const
	return the i-th active approximation sub-model in surrogate models

virtual std::shared_ptr< Model >	active_truth_model ()
	return the active truth sub-model in surrogate models More...

virtual std::shared_ptr< const Model >	active_truth_model () const
	return the active truth sub-model in surrogate models

virtual void	clear_model_keys ()
	reset by removing all model keys within surrogate data, grid driver, and approximation classes that support the management of multiple approximation states within surrogate models

virtual bool	active_truth_key () const
	return true if there is an active truth model indicated by truthModelKey

virtual size_t	active_surrogate_keys () const
	return the number of active surrogate models indicated by surrModelKeys

virtual void	build_approximation ()
	build a new SurrogateModel approximation

virtual bool	force_rebuild ()
	determine whether a surrogate model rebuild should be forced based on changes in the inactive data

virtual void	surrogate_function_indices (const SizetSet &surr_fn_indices)
	set the (currently active) surrogate function index set

virtual void	surrogate_response_mode (short mode)
	set response computation mode used in SurrogateModels for forming currentResponse

virtual DiscrepancyCorrection &	discrepancy_correction ()
	return the DiscrepancyCorrection object used by SurrogateModels

virtual void	correction_type (short corr_type)
	set the correction type from the DiscrepancyCorrection object used by SurrogateModels

virtual unsigned short	correction_mode () const
	return correctionMode

virtual void	correction_mode (unsigned short corr_mode)
	set correctionMode

virtual bool	build_approximation (const Variables &vars, const IntResponsePair &response_pr)
	build a new SurrogateModel approximation using/enforcing anchor response at vars; rebuild if needed

virtual void	rebuild_approximation ()
	incremental rebuild of an existing SurrogateModel approximation

virtual void	rebuild_approximation (const IntResponsePair &response_pr)
	incremental rebuild of an existing SurrogateModel approximation

virtual void	rebuild_approximation (const IntResponseMap &resp_map)
	incremental rebuild of an existing SurrogateModel approximation

virtual void	update_approximation (bool rebuild_flag)
	replace the approximation data within an existing surrogate based on data updates propagated elsewhere

virtual void	update_approximation (const Variables &vars, const IntResponsePair &response_pr, bool rebuild_flag)
	replace the anchor point data within an existing surrogate

virtual void	update_approximation (const VariablesArray &vars_array, const IntResponseMap &resp_map, bool rebuild_flag)
	replace the data points within an existing surrogate

virtual void	update_approximation (const RealMatrix &samples, const IntResponseMap &resp_map, bool rebuild_flag)
	replace the data points within an existing surrogate

virtual void	append_approximation (bool rebuild_flag)
	append to the existing approximation data within a surrogate based on data updates propagated elsewhere

virtual void	append_approximation (const Variables &vars, const IntResponsePair &response_pr, bool rebuild_flag)
	append a single point to an existing surrogate's data

virtual void	append_approximation (const RealMatrix &samples, const IntResponseMap &resp_map, bool rebuild_flag)
	append multiple points to an existing surrogate's data

virtual void	append_approximation (const VariablesArray &vars_array, const IntResponseMap &resp_map, bool rebuild_flag)
	append multiple points to an existing surrogate's data

virtual void	append_approximation (const IntVariablesMap &vars_map, const IntResponseMap &resp_map, bool rebuild_flag)
	append multiple points to an existing surrogate's data

virtual void	replace_approximation (const IntResponsePair &response_pr, bool rebuild_flag)
	replace the response for a single point (based on eval id from response_pr) within an existing surrogate's data

virtual void	replace_approximation (const IntResponseMap &resp_map, bool rebuild_flag)
	replace the responses for a set of points (based on eval ids from resp_map) within an existing surrogate's data

virtual void	track_evaluation_ids (bool track)
	assigns a flag to track evaluation ids within surrogate data, enabling id-based lookups for data replacement

virtual void	pop_approximation (bool save_surr_data, bool rebuild_flag=false)
	remove the previous data set addition to a surrogate (e.g., due to a previous append_approximation() call); flag manages storing of surrogate data for use in a subsequent push_approximation()

virtual void	push_approximation ()
	push a previous approximation data state; reverse of pop_approximation

virtual bool	push_available ()
	query for whether a trial increment is restorable within a surrogate

virtual void	finalize_approximation ()
	finalize an approximation by applying all previous trial increments

virtual void	combine_approximation ()
	combine the current approximation with previously stored data sets

virtual void	combined_to_active (bool clear_combined=true)
	promote the combined approximation into the active approximation

virtual void	clear_inactive ()
	clear inactive approximations (finalization + combination completed)

virtual bool	advancement_available ()
	query the approximation for available advancement in resolution controls (order, rank, etc.); an input to adaptive refinement strategies

virtual bool	formulation_updated () const
	query the approximation for updates in formulation, requiring a rebuild even if no updates to the build data

virtual void	formulation_updated (bool update)
	assign the status of approximation formulation updates

virtual void	run_dace ()
	execute the DACE iterator (prior to building/appending the approximation)

virtual SharedApproxData &	shared_approximation ()
	retrieve the shared approximation data within the ApproximationInterface of a DataFitSurrModel

virtual std::vector< Approximation > &	approximations ()
	retrieve the set of Approximations within the ApproximationInterface of a DataFitSurrModel

virtual const Pecos::SurrogateData &	approximation_data (size_t fn_index)
	retrieve a SurrogateData instance from a particular Approximation instance within the ApproximationInterface of a DataFitSurrModel

virtual const RealVectorArray &	approximation_coefficients (bool normalized=false)
	retrieve the approximation coefficients from each Approximation within a DataFitSurrModel

virtual void	approximation_coefficients (const RealVectorArray &approx_coeffs, bool normalized=false)
	set the approximation coefficients for each Approximation within a DataFitSurrModel

virtual const RealVector &	approximation_variances (const Variables &vars)
	retrieve the prediction variances from each Approximation within a DataFitSurrModel

virtual void	discrepancy_emulation_mode (short mode)
	set discrepancy emulation mode used in SurrogateModels for approximating response differences

virtual bool	multifidelity () const
	identify if 1D hierarchy can be defined across model forms

virtual bool	multilevel () const
	identify if 1D hierarchy can be defined across resolution levels

virtual bool	multilevel_multifidelity () const
	identify if 2D hierarchy can be defined across both model forms and resolution levels

virtual short	ensemble_precedence () const
	return precedence for ensemble definition: model forms, resolution levels, or both

virtual void	ensemble_precedence (short mlmf_prec, bool update_default=false)
	assign precedence for ensemble definition (model forms or resolution levels or both) as determined from algorithm context

virtual void	single_apply (const Variables &vars, Response &resp, const Pecos::ActiveKey &paired_key)
	apply a DiscrepancyCorrection to correct an approximation within an EnsembleSurrModel

virtual void	recursive_apply (const Variables &vars, Response &resp)
	apply a sequence of DiscrepancyCorrections to recursively correct an approximation within an EnsembleSurrModel

virtual size_t	solution_levels () const
	number of discrete levels within solution control (SimulationModel) More...

virtual void	solution_level_cost_index (size_t index)
	activate a particular level within the solution level control (SimulationModel) More...

virtual size_t	solution_level_cost_index () const
	return currently active level within the solution level control (SimulationModel)

virtual RealVector	solution_level_costs () const
	return ordered cost estimates across solution levels (SimulationModel)

virtual Real	solution_level_cost () const
	return currently active cost estimate from solution level control (SimulationModel)

virtual short	solution_control_variable_type () const
	return type of solution control variable

virtual size_t	solution_control_variable_index () const
	return index of solution control variable within all variables

virtual size_t	solution_control_discrete_variable_index () const
	return index of solution control variable within all discrete variables

virtual int	solution_level_int_value () const
	return the active (integer) value of the solution control

virtual String	solution_level_string_value () const
	return the active (string) value of the solution control

virtual Real	solution_level_real_value () const
	return the active (real) value of the solution control

virtual size_t	cost_metadata_index () const
	return index of online cost estimates within metadata

virtual bool	resize_pending () const
	return true if a potential resize is still pending, such that sizing-based initialization should be deferred

ModelList &	subordinate_models (bool recurse_flag=true)
	return the sub-models in nested and surrogate models More...

void	evaluate ()
	Compute the Response at currentVariables (default ActiveSet).

void	evaluate (const ActiveSet &set)
	Compute the Response at currentVariables (specified ActiveSet).

void	evaluate_nowait ()
	Spawn an asynchronous job (or jobs) that computes the value of the Response at currentVariables (default ActiveSet).

void	evaluate_nowait (const ActiveSet &set)
	Spawn an asynchronous job (or jobs) that computes the value of the Response at currentVariables (specified ActiveSet).

const IntResponseMap &	synchronize ()
	Execute a blocking scheduling algorithm to collect the complete set of results from a group of asynchronous evaluations.

const IntResponseMap &	synchronize_nowait ()
	Execute a nonblocking scheduling algorithm to collect all available results from a group of asynchronous evaluations.

int	evaluation_id () const
	return Model's (top-level) evaluation counter, not to be confused with derived counter returned by derived_evaluation_id()

bool	mapping_initialized () const

void	init_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	allocate communicator partitions for a model and store configuration in modelPCIterMap More...

void	init_serial ()
	for cases where init_communicators() will not be called, modify some default settings to behave properly in serial. More...

void	set_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	set active parallel configuration for the model (set modelPCIter from modelPCIterMap)

void	free_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	deallocate communicator partitions for a model

MPI_Comm	analysis_comm () const
	retrieve the MPI communicator on which this model is configured to conduct function evaluation analyses (provided for library clients)

void	stop_init_communicators (ParLevLIter pl_iter)
	called from IteratorScheduler::init_iterator() for iteratorComm rank 0 to terminate serve_init_communicators() on other iteratorComm processors

int	serve_init_communicators (ParLevLIter pl_iter)
	called from IteratorScheduler::init_iterator() for iteratorComm rank != 0 to balance init_communicators() calls on iteratorComm rank 0

void	estimate_message_lengths ()
	estimate messageLengths for a model More...

bool	manage_data_recastings ()
	initialize modelList and recastFlags for data import/export More...

bool	recastings () const
	return true if recastFlags is defined

void	user_space_to_iterator_space (Variables &vars)
	employ the model recursion to transform from bottom level user-space variables to top level iterator-space variables

void	user_space_to_iterator_space (const Variables &user_vars, const Response &user_resp, Variables &iter_vars, Response &iter_resp)
	employ the model recursion to transform from bottom level user-space data to top level iterator-space data

void	iterator_space_to_user_space (Variables &vars)
	employ the model recursion to transform from top level iterator-space variables to bottom level user-space variables

void	iterator_space_to_user_space (const Variables &iter_vars, const Response &iter_resp, Variables &user_vars, Response &user_resp)
	employ the model recursion to transform from top level iterator-space data to bottom level user-space data

Pecos::MultivariateDistribution &	multivariate_distribution ()
	return mvDist

const Pecos::MultivariateDistribution &	multivariate_distribution () const
	return mvDist

const Variables &	current_variables () const
	return the current variables (currentVariables) as const reference (preferred)

Variables &	current_variables ()
	return the current variables (currentVariables) in mutable form (special cases)

const Constraints &	user_defined_constraints () const
	return the user-defined constraints (userDefinedConstraints) as const reference (preferred)

Constraints &	user_defined_constraints ()
	return the user-defined constraints (userDefinedConstraints) in mutable form (special cases)

const Response &	current_response () const
	return the current response (currentResponse)

Response &	current_response ()
	return the current response (currentResponse)

ProblemDescDB &	problem_description_db () const
	return the problem description database (probDescDB)

ParallelLibrary &	parallel_library () const
	return the parallel library (parallelLib)

const String &	model_type () const
	return the model type (modelType)

const String &	surrogate_type () const
	return the surrogate type (surrogateType)

const String &	model_id () const
	return the model identifier (modelId)

size_t	num_primary_fns () const
	return number of primary functions (total less nonlinear constraints)

size_t	num_secondary_fns () const
	return number of secondary functions (number of nonlinear constraints)

const String &	gradient_type () const
	return the gradient evaluation type (gradientType)

const String &	method_source () const
	return the numerical gradient evaluation method source (methodSource)

const String &	interval_type () const
	return the numerical gradient evaluation interval type (intervalType)

bool	ignore_bounds () const
	option for ignoring bounds when numerically estimating derivatives

bool	central_hess () const
	option for using old 2nd-order scheme when computing finite-diff Hessian

const RealVector &	fd_gradient_step_size () const
	return the finite difference gradient step size (fdGradStepSize)

const String &	fd_gradient_step_type () const
	return the finite difference gradient step type (fdGradStepType)

const IntSet &	gradient_id_analytic () const
	return the mixed gradient analytic IDs (gradIdAnalytic)

const IntSet &	gradient_id_numerical () const
	return the mixed gradient numerical IDs (gradIdNumerical)

const String &	hessian_type () const
	return the Hessian evaluation type (hessianType)

const String &	quasi_hessian_type () const
	return the Hessian evaluation type (quasiHessType)

const RealVector &	fd_hessian_by_grad_step_size () const
	return gradient-based finite difference Hessian step size (fdHessByGradStepSize)

const RealVector &	fd_hessian_by_fn_step_size () const
	return function-based finite difference Hessian step size (fdHessByFnStepSize)

const String &	fd_hessian_step_type () const
	return the finite difference Hessian step type (fdHessStepType)

const IntSet &	hessian_id_analytic () const
	return the mixed Hessian analytic IDs (hessIdAnalytic)

const IntSet &	hessian_id_numerical () const
	return the mixed Hessian analytic IDs (hessIdNumerical)

const IntSet &	hessian_id_quasi () const
	return the mixed Hessian analytic IDs (hessIdQuasi)

void	primary_response_fn_sense (const BoolDeque &sense)
	set the optimization sense for multiple objective functions

const BoolDeque &	primary_response_fn_sense () const
	get the optimization sense for multiple objective functions

const RealVector &	primary_response_fn_weights () const
	get the relative weightings for multiple objective functions or least squares terms

const ScalingOptions &	scaling_options () const
	user-provided scaling options

short	primary_fn_type () const
	get the primary response function type (generic, objective, calibration)

void	primary_fn_type (short type)
	set the primary response function type, e.g., when recasting

bool	derivative_estimation ()
	indicates potential usage of estimate_derivatives() based on gradientType/hessianType

void	supports_derivative_estimation (bool sed_flag)
	set whether this model should perform or pass on derivative estimation

void	init_comms_bcast_flag (bool icb_flag)
	set initCommsBcastFlag

int	evaluation_capacity () const
	return the evaluation capacity for use in iterator logic

int	derivative_concurrency () const
	return the gradient concurrency for use in parallel configuration logic More...

bool	asynch_flag () const
	return the asynchronous evaluation flag (asynchEvalFlag)

void	asynch_flag (const bool flag)
	set the asynchronous evaluation flag (asynchEvalFlag)

short	output_level () const
	return the outputLevel

void	output_level (const short level)
	set the outputLevel

const IntArray &	message_lengths () const
	return the array of MPI packed message buffer lengths (messageLengths)

void	parallel_configuration_iterator (ParConfigLIter pc_iter)
	set modelPCIter

ParConfigLIter	parallel_configuration_iterator () const
	return modelPCIter

void	auto_graphics (const bool flag)
	set modelAutoGraphicsFlag to activate posting of graphics data within evaluate/synchronize functions (automatic graphics posting in the model as opposed to graphics posting at the strategy level).

bool	auto_graphics () const
	get modelAutoGraphicsFlag to activate posting of graphics data within evaluate/synchronize functions (automatic graphics posting in the model as opposed to graphics posting at the strategy level).

virtual String	root_model_id ()
	Return the model ID of the "innermost" model. For all derived Models except RecastModels, return modelId. The RecastModel override returns the root_model_id() of the subModel.

virtual ActiveSet	default_active_set ()

Protected Member Functions
	SurrogateModel (ProblemDescDB &problem_db)
	constructor

	SurrogateModel (ProblemDescDB &problem_db, ParallelLibrary &parallel_lib, const ShortShortPair &surr_view, const SharedVariablesData &svd, bool share_svd, const SharedResponseData &srd, bool share_srd, const ActiveSet &surr_set, short corr_type, short output_level)
	alternate constructor

short	surrogate_response_mode () const override
	return response computation mode used in SurrogateModels for forming currentResponse

short	correction_type () const override
	return the correction type from the DiscrepancyCorrection object used by SurrogateModels

short	correction_order () const override
	return the correction order from the DiscrepancyCorrection object used by SurrogateModels

int	derived_evaluation_id () const override
	return the current evaluation id for this Model More...

size_t	mi_parallel_level_index () const override
	return miPLIndex

virtual void	check_submodel_compatibility (const Model &sub_model)=0
	verify compatibility between SurrogateModel attributes and attributes of the submodel (DataFitSurrModel::actualModel or EnsembleSurrModel::truthModel)

virtual void	init_model (Model &model)
	initialize model with data that could change once per set of evaluations (e.g., an outer iterator execution), including active variable labels, inactive variable values/bounds/labels, and linear/nonlinear constraint coeffs/bounds

virtual void	update_model (std::shared_ptr< Model > model)
	update model with data that could change per function evaluation (active variable values/bounds)

virtual void	update_from_model (std::shared_ptr< Model > model)
	update current variables/labels/bounds/targets with data from model More...

virtual size_t	insert_response_start (size_t position)
	compute start index for inserting response data into aggregated response

virtual void	insert_metadata (const RealArray &md, size_t position, Response &agg_response)
	insert a single response into an aggregated response in the specified position

bool	check_active_variables (const Model &sub_model)
	check sub_model for consistency in active variable counts

bool	check_inactive_variables (const Model &sub_model)
	check sub_model for consistency in inactive variable counts

bool	check_response_qoi (const Model &sub_model)
	check sub_model for consistency in response QoI counts

void	init_model_constraints (Model &model)
	initialize model with linear/nonlinear constraint data that could change once per set of evaluations (e.g., an outer iterator execution) More...

void	init_model_labels (Model &model)
	initialize model with active/inactive variable label data that could change once per set of evaluations (e.g., an outer iterator execution)

void	init_model_inactive_variables (Model &model)
	initialize model with inactive variable values/bounds data that could change once per set of evaluations (e.g., an outer iterator execution)

void	init_model_inactive_labels (Model &model)
	initialize model with inactive variable labels that could change once per set of evaluations (e.g., an outer iterator execution)

void	update_model_active_constraints (Model &model)
	update incoming (sub-)model with active bounds from userDefinedConstraints

void	update_model_distributions (Model &model)
	update model with random variable distribution data

void	update_variables_from_model (const Model &model)
	update current variables/bounds with data from model

void	update_distributions_from_model (const Model &model)
	update current random variable distributions with data from model

void	update_response_from_model (const Model &model)
	update response/constraints with data from model

void	check_key (int key1, int key2) const
	check for consistency in response map keys

bool	check_rebuild (const RealVector &ref_icv, const IntVector &ref_idiv, const StringMultiArray &ref_idsv, const RealVector &ref_idrv, const RealVector &ref_c_l_bnds, const RealVector &ref_c_u_bnds, const IntVector &ref_di_l_bnds, const IntVector &ref_di_u_bnds, const RealVector &ref_dr_l_bnds, const RealVector &ref_dr_u_bnds)
	evaluate whether a rebuild of the approximation should be forced based on changes in the inactive data More...

void	asv_combine (const ShortArray &actual_asv, const ShortArray &approx_asv, ShortArray &combined_asv)
	reconstitutes a combined_asv from actual_asv and approx_asv

void	response_combine (const Response &actual_response, const Response &approx_response, Response &combined_response)
	overlays actual_response and approx_response to update combined_response

void	aggregate_response (const Response &resp1, const Response &resp2, Response &agg_resp)
	aggregate 2 sets of response data to create a new response with 2x size

void	insert_response (const Response &response, size_t position, Response &agg_response)
	insert a single response into an aggregated response in the specified position

Protected Member Functions inherited from Model
	Model (const ShortShortPair &vars_view, const SharedVariablesData &svd, bool share_svd, const SharedResponseData &srd, bool share_srd, const ActiveSet &set, short output_level, ProblemDescDB &problem_db=dummy_db, ParallelLibrary &parallel_lib=dummy_lib)
	constructor initializing the base class part of letter classes (BaseConstructor overloading avoids infinite recursion in the derived class constructors - Coplien, p. 139) More...

	Model (ProblemDescDB &problem_db, ParallelLibrary &parallel_lib)
	constructor initializing base class for recast model instances More...

virtual void	derived_evaluate (const ActiveSet &set)
	portion of evaluate() specific to derived model classes

virtual void	derived_evaluate_nowait (const ActiveSet &set)
	portion of evaluate_nowait() specific to derived model classes

virtual const IntResponseMap &	derived_synchronize ()
	portion of synchronize() specific to derived model classes

virtual const IntResponseMap &	derived_synchronize_nowait ()
	portion of synchronize_nowait() specific to derived model classes

virtual void	derived_init_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	portion of init_communicators() specific to derived model classes

virtual void	derived_init_serial ()
	portion of init_serial() specific to derived model classes

virtual void	derived_set_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	portion of set_communicators() specific to derived model classes

virtual void	derived_free_communicators (ParLevLIter pl_iter, int max_eval_concurrency, bool recurse_flag=true)
	portion of free_communicators() specific to derived model classes

void	update_model_active_variables (Model &model)
	update incoming (sub-)model with active values from currentVariables

IntResponseMap &	response_map ()
	return responseMap

void	initialize_distribution (Pecos::MultivariateDistribution &mv_dist, bool active_only=false)
	initialize distribution types from problemDescDB More...

void	initialize_active_types (Pecos::MultivariateDistribution &mv_dist)
	initialize distribution types from problemDescDB More...

void	initialize_distribution_parameters (Pecos::MultivariateDistribution &mv_dist, bool active_only=false)
	initialize distribution parameters from problemDescDB

void	set_ie_asynchronous_mode (int max_eval_concurrency)
	default logic for defining asynchEvalFlag and evaluationCapacity based on ie_pl settings

void	assign_max_strings (const Pecos::MultivariateDistribution &mv_dist, Variables &vars)
	assign all of the longest possible string values into vars

SSCIter	max_string (const StringSet &ss)
	return iterator for longest string value found in string set

SRMCIter	max_string (const StringRealMap &srm)
	return iterator for longest string value found in string map

SizetMultiArrayConstView	initialize_x0_bounds (const SizetArray &original_dvv, bool &active_derivs, bool &inactive_derivs, RealVector &x0, RealVector &fd_lb, RealVector &fd_ub) const
	Initialize data needed for computing finite differences (active/inactive, center point, and bounds)

Real	forward_grad_step (size_t num_deriv_vars, size_t xj_index, Real x0_j, Real lb_j, Real ub_j)
	Compute the forward step for a finite difference gradient; updates shortStep.

EvaluationsDBState	evaluations_db_state (const Interface &interface)
	Return the interface flag for the EvaluationsDB state.

EvaluationsDBState	evaluations_db_state (const Model &model)
	Return the model flag for the EvaluationsDB state.

void	asynch_eval_store (const Interface &interface, const int &id, const Response &response)
	Store the response portion of an interface evaluation. Called from rekey_response_map()

void	asynch_eval_store (const Model &model, const int &id, const Response &response)
	Exists to support storage of interface evaluations. No-op so that rekey_response_map<Model> can be generated.

template<typename MetaType >
void	rekey_response_map (MetaType &meta_object, IntIntMapArray &id_maps, IntResponseMapArray &resp_maps_rekey, bool deep_copy)
	rekey returned jobs matched in array of id_maps into array of resp_maps_rekey; unmatched jobs can be cached within the meta_object

template<typename MetaType >
void	rekey_response_map (MetaType &meta_object, IntIntMap &id_map, IntResponseMap &resp_map_rekey, bool deep_copy)
	rekey returned jobs matched in id_map into resp_map_rekey; unmatched jobs can be cached within the meta_object

template<typename MetaType >
void	rekey_synch (MetaType &meta_object, bool block, IntIntMapArray &id_maps, IntResponseMapArray &resp_maps_rekey, bool deep_copy=false)
	synchronize via meta_object and rekey returned jobs matched in array of id_maps into array of resp_maps_rekey; unmatched jobs are cached within the meta_object

template<typename MetaType >
void	rekey_synch (MetaType &meta_object, bool block, IntIntMap &id_map, IntResponseMap &resp_map_rekey, bool deep_copy=false)
	synchronize via meta_object and rekey returned jobs matched in id_map into resp_map_rekey; unmatched jobs are cached within the meta_object

Protected Attributes
SizetSet	surrogateFnIndices
	for mixed response sets, this array specifies the response function subset that is approximated

short	responseMode
	an enumeration that controls the response calculation mode in {DataFit,Ensemble}SurrModel approximate response computations

Pecos::ActiveKey	activeKey
	array of indices that identify the currently active model key

short	corrType
	type of correction: additive, multiplicative, or combined

short	corrOrder
	order of correction: 0 (value), 1 (gradient), or 2 (Hessian)

IntVariablesMap	rawVarsMap
	map of raw continuous variables used by apply_correction(). Model::varsList cannot be used for this purpose since it does not contain lower level variables sets from finite differencing.

int	surrModelEvalCntr
	counter for calls to derived_evaluate()/derived_evaluate_nowait(); used to key response maps from SurrogateModels

IntResponseMap	surrResponseMap
	map of surrogate responses returned by derived_synchronize() and derived_synchronize_nowait()

size_t	approxBuilds
	number of calls to build_approximation() More...

size_t	miPLIndex
	the index of the active metaiterator-iterator parallelism level (corresponding to ParallelConfiguration::miPLIters) used at runtime

Protected Attributes inherited from Model
Variables	currentVariables
	the set of current variables used by the model for performing function evaluations

size_t	numDerivVars
	the number of active continuous variables used in computing most response derivatives (i.e., in places such as quasi-Hessians and response corrections where only the active continuous variables are supported)

Response	currentResponse
	the set of current responses that holds the results of model function evaluations

size_t	numFns
	the number of functions in currentResponse

Constraints	userDefinedConstraints
	Explicit constraints on variables are maintained in the Constraints class hierarchy. Currently, this includes linear constraints and bounds, but could be extended in the future to include other explicit constraints which (1) have their form specified by the user, and (2) are not catalogued in Response since their form and coefficients are published to an iterator at startup.

String	modelId
	model identifier string from the input file

String	modelType
	type of model: simulation, nested, or surrogate

String	surrogateType
	type of surrogate model: local_, multipoint_, global_*, or hierarchical

String	gradientType
	type of gradient data: analytic, numerical, mixed, or none

String	methodSource
	source of numerical gradient routine: dakota or vendor

String	intervalType
	type of numerical gradient interval: central or forward

String	hessianType
	type of Hessian data: analytic, numerical, quasi, mixed, or none

RealVector	fdGradStepSize
	relative finite difference step size for numerical gradients More...

String	fdGradStepType
	type of finite difference step to use for numerical gradient: relative - step length is relative to x absolute - step length is what is specified bounds - step length is relative to range of x

RealVector	fdHessByGradStepSize
	relative finite difference step size for numerical Hessians estimated using first-order differences of gradients More...

RealVector	fdHessByFnStepSize
	relative finite difference step size for numerical Hessians estimated using second-order differences of function values More...

String	fdHessStepType
	type of finite difference step to use for numerical Hessian: relative - step length is relative to x absolute - step length is what is specified bounds - step length is relative to range of x

bool	ignoreBounds
	option to ignore bounds when computing finite diffs

bool	centralHess
	option to use old 2nd-order finite diffs for Hessians

bool	warmStartFlag
	if in warm-start mode, don't reset accumulated data (e.g., quasiHessians)

bool	supportsEstimDerivs
	whether model should perform or forward derivative estimation

String	quasiHessType
	quasi-Hessian type: bfgs, damped_bfgs, sr1

IntSet	gradIdAnalytic
	analytic id's for mixed gradients

IntSet	gradIdNumerical
	numerical id's for mixed gradients

IntSet	hessIdAnalytic
	analytic id's for mixed Hessians

IntSet	hessIdNumerical
	numerical id's for mixed Hessians

IntSet	hessIdQuasi
	quasi id's for mixed Hessians

EvaluationsDBState	modelEvaluationsDBState
	Whether to write model evals to the evaluations DB.

EvaluationsDBState	interfEvaluationsDBState
	Whether to write interface evals to the evaluations DB.

IntArray	messageLengths
	length of packed MPI buffers containing vars, vars/set, response, and PRPair

bool	mappingInitialized
	track use of initialize_mapping() and finalize_mapping()

ProblemDescDB &	probDescDB
	class member reference to the problem description database More...

ParallelLibrary &	parallelLib
	class member reference to the parallel library

ParConfigLIter	modelPCIter
	the ParallelConfiguration node used by this Model instance

short	componentParallelMode
	the component parallelism mode: NO_PARALLEL_MODE, SURROGATE_MODEL_MODE,

bool	asynchEvalFlag
	flags asynch evaluations (local or distributed)

int	evaluationCapacity
	capacity for concurrent evaluations supported by the Model

short	outputLevel
	output verbosity level: {SILENT,QUIET,NORMAL,VERBOSE,DEBUG}_OUTPUT

Pecos::MultivariateDistribution	mvDist
	the multivariate random variable distribution (in probability space corresponding to currentVariables)

BoolDeque	primaryRespFnSense
	array of flags (one per primary function) for switching the sense to maximize the primary function (default is minimize)

RealVector	primaryRespFnWts
	primary response function weightings (either weights for multiobjective optimization or weighted least squares)

bool	hierarchicalTagging
	whether to perform hierarchical evalID tagging of params/results

ScalingOptions	scalingOpts
	user-provided scaling data from the problem DB, possibly modified by Recasting

String	evalTagPrefix
	cached evalTag Prefix from parents to use at evaluate time

EvaluationStore &	evaluationsDB
	reference to the global evaluation database

Private Member Functions
void	update_all_variables_from_model (const Model &model)
	update all current variables/bounds/labels with data from model

void	update_complement_variables_from_model (const Model &model)
	update complement of active variables/bounds with data from model More...

Additional Inherited Members
Static Public Member Functions inherited from Model
static void	active_variables (const RealVector &config_vars, Model &model)
	set the specified configuration to the Model's inactive vars, converting from real to integer or through index to string value as needed More...

static void	inactive_variables (const RealVector &config_vars, Model &model)
	set the specified configuration to the Model's inactive vars, converting from real to integer or through index to string value as needed More...

static void	inactive_variables (const RealVector &config_vars, Model &model, Variables &updated_vars)

static void	evaluate (const RealMatrix &samples_matrix, Model &model, RealMatrix &resp_matrix)
	Bulk synchronously evaluate the model for each column (of active variables) in the samples matrix and return as columns of the response matrix.

static void	evaluate (const VariablesArray &sample_vars, Model &model, RealMatrix &resp_matrix)
	Bulk synchronously evaluate the model for each entry (of active variables) in the samples vector and return as columns of the response matrix.

Static Protected Member Functions inherited from Model
static String	user_auto_id ()
	return the next available model ID for no-ID user methods More...

static String	no_spec_id ()
	return the next available model ID for on-the-fly methods More...

Detailed Description

Base class for surrogate models (DataFitSurrModel and EnsembleSurrModel).

The SurrogateModel class provides common functions to derived classes for computing and applying corrections to approximations.

Member Function Documentation

◆ derived_evaluation_id()

int derived_evaluation_id ( ) const

inlineoverrideprotectedvirtual

return the current evaluation id for this Model

return the SurrogateModel evaluation id counter. Due to possibly intermittent use of lower level components, this is not the same as approxInterface, actualModel, or orderedModels evaluation counts, which requires a consistent evaluation rekeying process.

Reimplemented from Model.

References SurrogateModel::surrModelEvalCntr.

◆ update_from_model()

void update_from_model ( std::shared_ptr< Model > sub_model )

protectedvirtual

update current variables/labels/bounds/targets with data from model

Update values and labels in currentVariables and bound/linear/nonlinear constraints in userDefinedConstraints from variables and constraints data within sub_model.

Reimplemented in DataFitSurrModel.

References SurrogateModel::update_response_from_model(), and SurrogateModel::update_variables_from_model().

Referenced by EnsembleSurrModel::update_from_subordinate_model().

◆ init_model_constraints()

void init_model_constraints ( Model & sub_model )

protected

initialize model with linear/nonlinear constraint data that could change once per set of evaluations (e.g., an outer iterator execution)

Update variables and constraints data within model using values and labels from currentVariables and bound/linear/nonlinear constraints from userDefinedConstraints.

References Dakota::abort_handler(), Model::currentVariables, Variables::cv(), Variables::div(), Variables::drv(), Variables::dsv(), Constraints::linear_eq_constraint_coeffs(), Constraints::linear_eq_constraint_targets(), Constraints::linear_ineq_constraint_coeffs(), Constraints::linear_ineq_constraint_lower_bounds(), Constraints::linear_ineq_constraint_upper_bounds(), Constraints::nonlinear_eq_constraint_targets(), Constraints::nonlinear_ineq_constraint_lower_bounds(), Constraints::nonlinear_ineq_constraint_upper_bounds(), Constraints::num_linear_eq_constraints(), Constraints::num_linear_ineq_constraints(), Constraints::num_nonlinear_eq_constraints(), Constraints::num_nonlinear_ineq_constraints(), and Model::userDefinedConstraints.

Referenced by SurrogateModel::init_model().

◆ check_rebuild()

bool check_rebuild	(	const RealVector &	ref_icv,
		const IntVector &	ref_idiv,
		const StringMultiArray &	ref_idsv,
		const RealVector &	ref_idrv,
		const RealVector &	ref_c_l_bnds,
		const RealVector &	ref_c_u_bnds,
		const IntVector &	ref_di_l_bnds,
		const IntVector &	ref_di_u_bnds,
		const RealVector &	ref_dr_l_bnds,
		const RealVector &	ref_dr_u_bnds
	)

protected

evaluate whether a rebuild of the approximation should be forced based on changes in the inactive data

This function forces a rebuild of the approximation according to the sub-model variables view, the approximation type, and whether the active approximation bounds or inactive variable values have changed since the last approximation build.

Referenced by DataFitSurrModel::force_rebuild(), and EnsembleSurrModel::force_rebuild().

◆ update_complement_variables_from_model()

void update_complement_variables_from_model ( const Model & sub_model )

private

update complement of active variables/bounds with data from model

Update values and labels in currentVariables and bound/linear/nonlinear constraints in userDefinedConstraints from variables and constraints data within model.

Referenced by SurrogateModel::update_variables_from_model().

Member Data Documentation

◆ approxBuilds

size_t approxBuilds

protected

number of calls to build_approximation()

used as a flag to automatically build the approximation if one of the derived evaluate functions is called prior to build_approximation().

Referenced by DataFitSurrModel::approximation_coefficients(), EnsembleSurrModel::build_approximation(), DataFitSurrModel::build_global(), DataFitSurrModel::build_local_multipoint(), DataFitSurrModel::DataFitSurrModel(), DataFitSurrModel::derived_evaluate(), EnsembleSurrModel::derived_evaluate(), DataFitSurrModel::derived_evaluate_nowait(), EnsembleSurrModel::derived_evaluate_nowait(), SurrogateModel::init_model_inactive_labels(), SurrogateModel::init_model_labels(), DataFitSurrModel::pop_approximation(), DataFitSurrModel::rebuild_approximation(), DataFitSurrModel::rebuild_global(), SurrogateModel::update_all_variables_from_model(), and SurrogateModel::update_response_from_model().

The documentation for this class was generated from the following files:

SurrogateModel.hpp
SurrogateModel.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Private Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ derived_evaluation_id()

◆ update_from_model()

◆ init_model_constraints()

◆ check_rebuild()

◆ update_complement_variables_from_model()

Member Data Documentation

◆ approxBuilds