ParamStudy Class Reference

Class for vector, list, centered, and multidimensional parameter studies. More...

Inheritance diagram for ParamStudy:

Public Member Functions
	ParamStudy (ProblemDescDB &problem_db, Model &model)
	constructor
	~ParamStudy ()
	destructor
bool	resize ()
	reinitializes iterator based on new variable size
void	pre_run ()
	pre-run portion of run (optional); re-implemented by Iterators which can generate all Variables (parameter sets) a priori More...
void	core_run ()
	core portion of run; implemented by all derived classes and may include pre/post steps in lieu of separate pre/post More...
void	post_input ()
	read tabular data for post-run mode
void	post_run (std::ostream &s)
	post-run portion of run (optional); verbose to print results; re-implemented by Iterators that can read all Variables/Responses and perform final analysis phase in a standalone way More...
void	archive_model_variables (const Model &, size_t idx) const override
	Archive variables for parameter set idx.
void	archive_model_response (const Response &, size_t idx) const override
	Archive responses for parameter set idx.
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
size_t	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()))
	standard envelope constructor, which constructs its own model(s) 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	derived_set_communicators (ParLevLIter pl_iter)
	derived class contributions to setting the communicators associated with this Iterator instance
virtual void	derived_free_communicators (ParLevLIter pl_iter)
	derived class contributions to freeing the communicators associated with this Iterator instance
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 RealSymMatrix &	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	update_callback_data (const RealVector &cv_initial, const RealVector &cv_lower_bnds, const RealVector &cv_upper_bnds, 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, const RealVector &nln_ineq_lb, const RealVector &nln_ineq_ub, const RealVector &nln_eq_tgt)
	assign variable values and bounds and constraint coefficients and bounds for this iterator (user-functions mode for which iteratedModel is null)
virtual const RealMatrix &	callback_linear_ineq_coefficients () const
	return linear constraint coefficients for this iterator (user-functions mode for which iteratedModel is null)
virtual const RealVector &	callback_linear_ineq_lower_bounds () const
	return linear constraint lower bounds for this iterator (user-functions mode for which iteratedModel is null)
virtual const RealVector &	callback_linear_ineq_upper_bounds () const
	return linear constraint upper bounds for this iterator (user-functions mode for which iteratedModel is null)
virtual void	initialize_graphics (int iterator_server_id=1)
	initialize the 2D graphics window and the tabular graphics data More...
virtual void	check_sub_iterator_conflict ()
	detect any conflicts due to recursive use of the same Fortran solver More...
virtual unsigned short	uses_method () const
	return name of any enabling iterator used by this iterator
virtual void	method_recourse (unsigned short method_name)
	perform a method switch, if possible, due to a detected conflict with the simultaneous use of method_name at an higher-level
virtual void	sampling_reset (size_t min_samples, bool all_data_flag, bool stats_flag)
	reset sampling iterator to use at least min_samples
virtual void	sampling_reference (size_t 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	parallel_configuration_iterator_map (std::map< size_t, ParConfigLIter > pci_map)
	set methodPCIterMap
std::map< size_t, ParConfigLIter >	parallel_configuration_iterator_map () const
	return methodPCIterMap
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 (bool tflag)
	Set the iterator's top level flag.

Protected Member Functions
void	archive_allocate_sets () const
	Allocate space to archive parameters and responses.
Protected Member Functions inherited from PStudyDACE
	PStudyDACE (ProblemDescDB &problem_db, Model &model)
	constructor
	PStudyDACE (unsigned short method_name, Model &model)
	alternate constructor for instantiations "on the fly"
	~PStudyDACE ()
	destructor
void	print_results (std::ostream &s, short results_state=FINAL_RESULTS)
	print the final iterator results More...
void	volumetric_quality (int ndim, int num_samples, double *sample_points)
	Calculation of volumetric quality measures. More...
Protected Member Functions inherited from Analyzer
	Analyzer ()
	default constructor
	Analyzer (ProblemDescDB &problem_db, Model &model)
	standard constructor
	Analyzer (unsigned short method_name, Model &model)
	alternate constructor for instantiations "on the fly" with a Model
	Analyzer (unsigned short method_name, Model &model, const ShortShortPair &view_override)
	alternate constructor for instantiations "on the fly" with a Model
	Analyzer (unsigned short method_name)
	alternate constructor for instantiations "on the fly" without a Model
	~Analyzer ()
	destructor
virtual void	get_parameter_sets (Model &model)
	Generate one block of numSamples samples (ndim * num_samples), populating allSamples; ParamStudy is the only class that specializes to use allVariables.
virtual void	get_parameter_sets (Model &model, const size_t num_samples, RealMatrix &design_matrix)
	Generate one block of numSamples samples (ndim * num_samples), populating design_matrix.
virtual void	update_model_from_sample (Model &model, const Real *sample_vars)
	update model's current variables with data from sample
virtual void	update_model_from_variables (Model &model, const Variables &vars)
	update model's current variables with data from vars
virtual void	sample_to_variables (const Real *sample_vars, Variables &vars)
	convert column of samples array to variables; derived classes may reimplement for more than active continuous variables More...
void	update_from_model (const Model &model)
	set inherited data attributes based on extractions from incoming model
void	initialize_run ()
	utility function to perform common operations prior to pre_run(); typically memory initialization; setting of instance pointers More...
void	finalize_run ()
	utility function to perform common operations following post_run(); deallocation and resetting of instance pointers More...
void	pre_output ()
const Model &	algorithm_space_model () const
const Variables &	variables_results () const
	return a single final iterator solution (variables)
const Response &	response_results () const
	return a single final iterator solution (response)
const VariablesArray &	variables_array_results ()
	return multiple final iterator solutions (variables). This should only be used if returns_multiple_points() returns true.
const ResponseArray &	response_array_results ()
	return multiple final iterator solutions (response). This should only be used if returns_multiple_points() returns true.
void	response_results_active_set (const ActiveSet &set)
	set the requested data for the final iterator response results
bool	compact_mode () const
	returns Analyzer::compactMode
bool	returns_multiple_points () const
	indicates if this iterator returns multiple final points. Default return is false. Override to return true if appropriate.
void	evaluate_parameter_sets (Model &model, bool log_resp_flag, bool log_best_flag)
	perform function evaluations to map parameter sets (allVariables) into response sets (allResponses) More...
void	get_vbd_parameter_sets (Model &model, size_t num_samples)
	generate replicate parameter sets for use in variance-based decomposition More...
void	read_variables_responses (int num_evals, size_t num_vars)
	convenience function for reading variables/responses (used in derived classes post_input) More...
void	samples_to_variables_array (const RealMatrix &sample_matrix, VariablesArray &vars_array)
	convert samples array to variables array; e.g., allSamples to allVariables
virtual void	variables_to_sample (const Variables &vars, Real *sample_c_vars)
	convert the active continuous variables into a column of allSamples More...
void	variables_array_to_samples (const VariablesArray &vars_array, RealMatrix &sample_matrix)
	convert variables array to samples array; e.g., allVariables to allSamples
Protected Member Functions inherited from Iterator
	Iterator (BaseConstructor, ProblemDescDB &problem_db, std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase()))
	constructor initializes the base class part of letter classes (BaseConstructor overloading avoids infinite recursion in the derived class constructors - Coplien, p. 139) More...
	Iterator (NoDBBaseConstructor, unsigned short method_name, Model &model, std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase()))
	alternate constructor for base iterator classes constructed on the fly More...
	Iterator (NoDBBaseConstructor, unsigned short method_name, std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase()))
	alternate constructor for base iterator classes constructed on the fly More...
	Iterator (NoDBBaseConstructor, Model &model, size_t max_iter, size_t max_eval, Real conv_tol, std::shared_ptr< TraitsBase > traits=std::shared_ptr< TraitsBase >(new TraitsBase()))
	alternate envelope constructor for instantiations without ProblemDescDB More...
virtual void	derived_init_communicators (ParLevLIter pl_iter)
	derived class contributions to initializing the communicators associated with this Iterator instance
virtual const VariablesArray &	initial_points () const
	gets the multiple initial points for this iterator. This will only be meaningful after a call to initial_points mutator.
StrStrSizet	run_identifier () const
	get the unique run identifier based on method name, id, and number of executions
void	initialize_model_graphics (Model &model, int iterator_server_id)
	helper function that encapsulates initialization operations, modular on incoming Model instance More...
void	export_final_surrogates (Model &data_fit_surr_model)
	export final surrogates generated, e.g., GP in EGO and friends More...

Private Member Functions
void	sample ()
	performs the parameter study by sampling from a list of points
void	vector_loop ()
	performs the parameter study by sampling along a vector, starting from an initial point followed by numSteps increments along continous/discrete step vectors
void	centered_loop ()
	performs a number of plus and minus offsets for each parameter centered about an initial point
void	multidim_loop ()
	performs a full factorial combination for all intersections defined by a set of multidimensional partitions
bool	load_distribute_points (const String &points_filename, unsigned short tabular_format, bool active_only)
	load list of points from data file and distribute among listCVPoints, listDIVPoints, listDSVPoints, and listDRVPoints More...
template<typename OrdinalType , typename ScalarTypeA , typename ScalarTypeC , typename ScalarTypeDI , typename ScalarTypeDS , typename ScalarTypeDR >
bool	distribute (const Teuchos::SerialDenseVector< OrdinalType, ScalarTypeA > &all_data, Teuchos::SerialDenseVector< OrdinalType, ScalarTypeC > &c_data, Teuchos::SerialDenseVector< OrdinalType, ScalarTypeDI > &di_data, Teuchos::SerialDenseVector< OrdinalType, ScalarTypeDS > &ds_data, Teuchos::SerialDenseVector< OrdinalType, ScalarTypeDR > &dr_data)
	distributes incoming all vector in standard variable ordering among continuous, discrete int, discrete string, and discrete real vectors
template<typename ScalarType >
bool	distribute (const std::vector< ScalarType > &all_data, std::vector< ScalarType > &c_data, std::vector< ScalarType > &di_data, std::vector< ScalarType > &ds_data, std::vector< ScalarType > &dr_data)
	distributes incoming all array in standard variable ordering among continuous, discrete int, discrete string, and discrete real arrays
bool	distribute_list_of_points (const RealVector &list_of_pts)
	distributes list_of_pts coming from user spec among listCVPoints, listDIVPoints, listDSVPoints, and listDRVPoints More...
void	final_point_to_step_vector ()
	compute step vectors from finalPoint, initial points, and numSteps
void	distribute_partitions ()
	compute step vectors from {cont,discInt,discString,discReal}VarPartitions and global bounds
bool	check_num_steps (int num_steps)
	perform error checks on numSteps
bool	check_step_vector (const RealVector &step_vector)
	perform error checks on numSteps
bool	check_final_point (const RealVector &final_pt)
	perform error checks on finalPoint
bool	check_steps_per_variable (const IntVector &steps_per_var)
	perform error checks on stepsPerVariable
bool	check_variable_partitions (const UShortArray &partitions)
	perform error checks on variable partitions
bool	check_finite_bounds ()
	check for finite variable bounds within iteratedModel, as required for computing partitions of finite ranges
bool	check_ranges_sets (int num_steps)
	sanity check for vector parameter study
bool	check_ranges_sets (const IntVector &c_steps, const IntVector &di_steps, const IntVector &ds_steps, const IntVector &dr_steps)
	sanity check for centered parameter study
bool	check_sets (const IntVector &c_steps, const IntVector &di_steps, const IntVector &ds_steps, const IntVector &dr_steps)
	sanity check for increments along int/real set dimensions
int	integer_step (int range, int num_steps) const
	check for integer remainder and return step
int	index_step (size_t start, size_t end, int num_steps) const
	check for out of bounds and index remainder and return step
void	c_step (size_t c_index, int increment, Variables &vars)
	helper function for performing a continuous step in one variable
void	dri_step (size_t di_index, int increment, Variables &vars)
	helper function for performing a discrete step in an integer range variable
void	dsi_step (size_t di_index, int increment, const IntSet &values, Variables &vars)
	helper function for performing a discrete step in an integer set variable
void	dss_step (size_t ds_index, int increment, const StringSet &values, Variables &vars)
	helper function for performing a discrete step in an string set variable
void	dsr_step (size_t dr_index, int increment, const RealSet &values, Variables &vars)
	helper function for performing a discrete step in a real set variable
void	reset (Variables &vars)
	reset vars to initial point (center)
void	centered_header (const String &type, size_t var_index, int step, size_t hdr_index)
	store a centered parameter study header within allHeaders
void	archive_allocate_cps () const
	specialized per-variable slice output for centered param study
void	archive_cps_vars (const Model &model, size_t idx) const
	specialized per-variable slice output for centered param study
void	archive_cps_resp (const Response &response, size_t idx) const
	specialized per-variable slice output for centered param study
void	index_to_var_step (const size_t study_idx, size_t &var_idx, size_t &step_idx) const
	map an overall parameter study (zero-based) evaluation index to the (zero-based) variable index (among all variables) and the (zero-based) step index within that variable

Private Attributes
size_t	numEvals
	total number of parameter study evaluations computed from specification
RealVectorArray	listCVPoints
	array of continuous evaluation points for the list_parameter_study
IntVectorArray	listDIVPoints
	array of discrete int evaluation points for the list_parameter_study
StringMulti2DArray	listDSVPoints
	array of discrete string evaluation points for the list_parameter_study
RealVectorArray	listDRVPoints
	array of discrete real evaluation points for the list_parameter_study
RealVector	initialCVPoint
	the continuous start point for vector and centered parameter studies
IntVector	initialDIVPoint
	the discrete int start point for vector and centered parameter studies
StringMultiArray	initialDSVPoint
	the discrete string start point for vector and centered parameter studies
RealVector	initialDRVPoint
	the discrete real start point for vector and centered parameter studies
RealVector	finalCVPoint
	the continuous ending point for vector_parameter_study
IntVector	finalDIVPoint
	the discrete int range value or set index ending point for vector_parameter_study
IntVector	finalDSVPoint
	the discrete string set index ending point for vector_parameter_study
IntVector	finalDRVPoint
	the discrete real set index ending point for vector_parameter_study
RealVector	contStepVector
	the n-dimensional continuous increment
IntVector	discIntStepVector
	the n-dimensional discrete integer range value or set index increment
IntVector	discStringStepVector
	the n-dimensional discrete string set index increment
IntVector	discRealStepVector
	the n-dimensional discrete real set index increment
int	numSteps
	the number of times continuous/discrete step vectors are applied for vector_parameter_study (a specification option)
IntVector	stepsPerVariable
	number of offsets in the plus and the minus direction for each variable in a centered_parameter_study More...
IntVector	contStepsPerVariable
	number of offsets in the plus and the minus direction for each continuous variable in a centered_parameter_study
IntVector	discIntStepsPerVariable
	number of offsets in the plus and the minus direction for each discrete integer variable in a centered_parameter_study
IntVector	discStringStepsPerVariable
	number of offsets in the plus and the minus direction for each discrete string variable in a centered_parameter_study
IntVector	discRealStepsPerVariable
	number of offsets in the plus and the minus direction for each discrete real variable in a centered_parameter_study
UShortArray	contVarPartitions
	number of partitions for each continuous variable in a multidim_parameter_study
UShortArray	discIntVarPartitions
	number of partitions for each discrete integer variable in a multidim_parameter_study
UShortArray	discStringVarPartitions
	number of partitions for each discrete string variable in a multidim_parameter_study
UShortArray	discRealVarPartitions
	number of partitions for each discrete real variable in a multidim_parameter_study

Additional Inherited Members
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 PStudyDACE
SensAnalysisGlobal	pStudyDACESensGlobal
	initialize statistical post processing
bool	volQualityFlag
	flag which specifies evaluation of volumetric quality measures
unsigned short	vbdViaSamplingMethod
	sampling method for computing variance-based decomposition indices
int	vbdViaSamplingNumBins
	number of bins for using with the Mahadevan sampling method for computing variance-based decomposition indices
Protected Attributes inherited from Analyzer
size_t	numFunctions
	number of response functions
size_t	numContinuousVars
	number of active continuous vars
size_t	numDiscreteIntVars
	number of active discrete integer vars
size_t	numDiscreteStringVars
	number of active discrete string vars
size_t	numDiscreteRealVars
	number of active discrete real vars
bool	compactMode
	switch for allSamples (compact mode) instead of allVariables (normal mode)
VariablesArray	allVariables
	array of all variables to be evaluated in evaluate_parameter_sets()
RealMatrix	allSamples
	compact alternative to allVariables
IntResponseMap	allResponses
	array of all responses to be computed in evaluate_parameter_sets()
StringArray	allHeaders
	array of headers to insert into output while evaluating allVariables
size_t	numObjFns
	number of objective functions
size_t	numLSqTerms
	number of least squares terms
RealPairPRPMultiMap	bestVarsRespMap
	map which stores best set of solutions
bool	vbdFlag
	flag indicating the activation of variance-bsaed decomposition for computing Sobol' indices, via either PCE or sampling
Real	vbdDropTol
	tolerance for omitting output of small VBD indices computed via either PCE or sampling
Protected Attributes inherited from Iterator
ProblemDescDB &	probDescDB
	class member reference to the problem description database More...
ParallelLibrary &	parallelLib
	class member reference to the parallel library
ParConfigLIter	methodPCIter
	the active ParallelConfiguration used by this Iterator instance
Model	iteratedModel
	the model to be iterated (for iterators and meta-iterators employing a single model instance)
size_t	myModelLayers
	number of Models locally (in Iterator or derived classes) wrapped around the initially passed in Model
unsigned short	methodName
	name of the iterator (the user's method spec)
Real	convergenceTol
	iteration convergence tolerance
size_t	maxIterations
	maximum number of iterations for the method
size_t	maxFunctionEvals
	maximum number of fn evaluations for the method
int	maxEvalConcurrency
	maximum number of concurrent model evaluations More...
ActiveSet	activeSet
	the response data requirements on each function evaluation
size_t	numFinalSolutions
	number of solutions to retain in best variables/response arrays
VariablesArray	bestVariablesArray
	collection of N best solution variables found during the study; always in context of Model originally passed to the Iterator (any in-flight Recasts must be undone)
ResponseArray	bestResponseArray
	collection of N best solution responses found during the study; always in context of Model originally passed to the Iterator (any in-flight Recasts must be undone)
bool	subIteratorFlag
	flag indicating if this Iterator is a sub-iterator (NestedModel::subIterator or DataFitSurrModel::daceIterator)
short	outputLevel
	output verbosity level: {SILENT,QUIET,NORMAL,VERBOSE,DEBUG}_OUTPUT
bool	summaryOutputFlag
	flag for summary output (evaluation stats, final results); default true, but false for on-the-fly (helper) iterators and sub-iterator use cases
ResultsManager &	resultsDB
	reference to the global iterator results database
EvaluationStore &	evaluationsDB
	reference to the global evaluation database
EvaluationsDBState	evaluationsDBState
	State of evaluations DB for this iterator.
ResultsNames	resultsNames
	valid names for iterator results
std::shared_ptr< TraitsBase >	methodTraits
	pointer that retains shared ownership of a TraitsBase object, or child thereof
bool	topLevel
	Whether this is the top level iterator.
bool	exportSurrogate = false
	whether to export final surrogates
String	surrExportPrefix
	base filename for exported surrogates
unsigned short	surrExportFormat = NO_MODEL_FORMAT
	(bitwise) format(s) to export

Detailed Description

Class for vector, list, centered, and multidimensional parameter studies.

The ParamStudy class contains several algorithms for performing parameter studies of different types. The vector parameter study steps along an n-dimensional vector from an arbitrary initial point to an arbitrary final point in a specified number of steps. The centered parameter study performs a number of plus and minus offsets in each coordinate direction around a center point. A multidimensional parameter study fills an n-dimensional hypercube based on bounds and a specified number of partitions for each dimension. And the list parameter study provides for a user specification of a list of points to evaluate, which allows general parameter investigations not fitting the structure of vector, centered, or multidim parameter studies.

Member Function Documentation

pre_run()

void pre_run ( )

virtual

pre-run portion of run (optional); re-implemented by Iterators which can generate all Variables (parameter sets) a priori

pre-run phase, which a derived iterator may optionally reimplement; when not present, pre-run is likely integrated into the derived run function. This is a virtual function; when re-implementing, a derived class must call its nearest parent's pre_run(), if implemented, typically before performing its own implementation steps.

Reimplemented from Analyzer.

References Dakota::abort_handler(), Analyzer::allHeaders, Analyzer::allVariables, ParamStudy::centered_loop(), Variables::continuous_variables(), ParamStudy::contStepsPerVariable, ParamStudy::contStepVector, ParamStudy::contVarPartitions, Variables::copy(), Dakota::copy_data(), Model::current_variables(), ParamStudy::discIntStepsPerVariable, ParamStudy::discIntStepVector, ParamStudy::discIntVarPartitions, ParamStudy::discRealStepsPerVariable, ParamStudy::discRealStepVector, ParamStudy::discRealVarPartitions, Variables::discrete_int_variables(), Variables::discrete_real_variables(), Variables::discrete_string_variables(), ParamStudy::discStringStepsPerVariable, ParamStudy::discStringStepVector, ParamStudy::discStringVarPartitions, ParamStudy::distribute_partitions(), ParamStudy::final_point_to_step_vector(), ParamStudy::finalCVPoint, ParamStudy::finalDIVPoint, ParamStudy::finalDRVPoint, ParamStudy::finalDSVPoint, ParamStudy::initialCVPoint, ParamStudy::initialDIVPoint, ParamStudy::initialDRVPoint, ParamStudy::initialDSVPoint, Iterator::iteratedModel, Iterator::method_enum_to_string(), Iterator::methodName, ParamStudy::multidim_loop(), Analyzer::numDiscreteStringVars, ParamStudy::numEvals, ParamStudy::numSteps, Iterator::outputLevel, Analyzer::pre_run(), ParamStudy::sample(), Variables::shared_data(), Dakota::svd(), ParamStudy::vector_loop(), and Dakota::write_ordered().

core_run()

void core_run ( )

virtual

core portion of run; implemented by all derived classes and may include pre/post steps in lieu of separate pre/post

Virtual run function for the iterator class hierarchy. All derived classes need to redefine it.

Reimplemented from Iterator.

References ParamStudy::archive_allocate_sets(), Analyzer::evaluate_parameter_sets(), Iterator::iteratedModel, Iterator::methodName, Analyzer::numLSqTerms, Analyzer::numObjFns, and Iterator::subIteratorFlag.

post_run()

void post_run ( std::ostream &  s )

virtual

post-run portion of run (optional); verbose to print results; re-implemented by Iterators that can read all Variables/Responses and perform final analysis phase in a standalone way

Post-run phase, which a derived iterator may optionally reimplement; when not present, post-run is likely integrated into run. This is a virtual function; when re-implementing, a derived class must call its nearest parent's post_run(), typically after performing its own implementation steps.

Reimplemented from Analyzer.

References ResultsManager::active(), Analyzer::allResponses, Analyzer::allVariables, SensAnalysisGlobal::archive_correlations(), SensAnalysisGlobal::compute_correlations(), Model::discrete_set_string_values(), Iterator::iteratedModel, Iterator::methodName, Model::ordered_labels(), Analyzer::post_run(), PStudyDACE::pStudyDACESensGlobal, Model::response_labels(), Iterator::resultsDB, Iterator::run_identifier(), and Iterator::subIteratorFlag.

load_distribute_points()

bool load_distribute_points ( const String &  points_filename, unsigned short  tabular_format, bool  active_only  )

private

load list of points from data file and distribute among listCVPoints, listDIVPoints, listDSVPoints, and listDRVPoints

Load from file and distribute points; using this function to manage construction of the temporary arrays. Historically all data was read as a real (mixture of values and indices), but now points_file is valued-based (reals, integers, strings) so file input matches tabular data output. Return false on success.

References Model::continuous_lower_bounds(), Model::continuous_upper_bounds(), Variables::copy(), Model::current_variables(), Model::discrete_int_lower_bounds(), Model::discrete_int_sets(), Model::discrete_int_upper_bounds(), Model::discrete_set_int_values(), Model::discrete_set_real_values(), Model::discrete_set_string_values(), Iterator::iteratedModel, ParamStudy::listCVPoints, ParamStudy::listDIVPoints, ParamStudy::listDRVPoints, ParamStudy::listDSVPoints, Analyzer::numContinuousVars, Analyzer::numDiscreteIntVars, Analyzer::numDiscreteRealVars, Analyzer::numDiscreteStringVars, ParamStudy::numEvals, and Dakota::set_value_to_index().

Referenced by ParamStudy::ParamStudy().

distribute_list_of_points()

bool distribute_list_of_points ( const RealVector &  list_of_pts )

private

distributes list_of_pts coming from user spec among listCVPoints, listDIVPoints, listDSVPoints, and listDRVPoints

Parse list of points into typed data containers; list_of_pts will contain values for continuous and discrete integer range, but indices for all discrete set types (int, string, real)

References Dakota::abort_handler(), Model::discrete_int_sets(), Model::discrete_int_variable_labels(), Model::discrete_real_variable_labels(), Model::discrete_set_int_values(), Model::discrete_set_real_values(), Model::discrete_set_string_values(), Model::discrete_string_variable_labels(), ParamStudy::distribute(), Iterator::iteratedModel, ParamStudy::listCVPoints, ParamStudy::listDIVPoints, ParamStudy::listDRVPoints, ParamStudy::listDSVPoints, Iterator::method_id(), Analyzer::numContinuousVars, Analyzer::numDiscreteIntVars, Analyzer::numDiscreteRealVars, Analyzer::numDiscreteStringVars, ParamStudy::numEvals, and Dakota::set_index_to_value().

Referenced by ParamStudy::ParamStudy().

Member Data Documentation

stepsPerVariable

IntVector stepsPerVariable

private

number of offsets in the plus and the minus direction for each variable in a centered_parameter_study

The per-type step arrays below could be made views into this, instead of duplicating, but if so, distribute() will not be allowed to resize the individual vectors.

Referenced by ParamStudy::check_steps_per_variable(), and ParamStudy::index_to_var_step().

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

• ParamStudy.hpp
• ParamStudy.cpp