$extrastylesheet
Dakota  Version 6.2
Protected Member Functions | Protected Attributes
NonDReliability Class Reference

Base class for the reliability methods within DAKOTA/UQ. More...

Inheritance diagram for NonDReliability:
NonD Analyzer Iterator NonDGlobalReliability NonDLocalReliability

List of all members.

Protected Member Functions

 NonDReliability (ProblemDescDB &problem_db, Model &model)
 constructor
 ~NonDReliability ()
 destructor
void initialize_graphics (int iterator_server_id=1)
 initialize graphics customized for reliability methods
const Modelalgorithm_space_model () const

Protected Attributes

Model uSpaceModel
 Model representing the limit state in u-space, after any recastings and data fits.
Model mppModel
 RecastModel which formulates the optimization subproblem: RIA, PMA, EGO.
Iterator mppOptimizer
 Iterator which optimizes the mppModel.
unsigned short mppSearchType
 the MPP search type selection: MV, x/u-space AMV, x/u-space AMV+, x/u-space TANA, x/u-space EGO, or NO_APPROX
Iterator importanceSampler
 importance sampling instance used to compute/refine probabilities
unsigned short integrationRefinement
 integration refinement type (NO_INT_REFINE, IS, AIS, or MMAIS) provided by refinement specification
size_t numRelAnalyses
 number of invocations of quantify_uncertainty()
size_t approxIters
 number of approximation cycles for the current respFnCount/levelCount
bool approxConverged
 indicates convergence of approximation-based iterations
int respFnCount
 counter for which response function is being analyzed
size_t levelCount
 counter for which response/probability level is being analyzed
size_t statCount
 counter for which final statistic is being computed
bool pmaMaximizeG
 flag indicating maximization of G(u) within PMA formulation
Real requestedTargetLevel
 the {response,reliability,generalized reliability} level target for the current response function

Detailed Description

Base class for the reliability methods within DAKOTA/UQ.

The NonDReliability class provides a base class for NonDLocalReliability, which implements traditional MPP-based reliability methods, and NonDGlobalReliability, which implements global limit state search using Gaussian process models in combination with multimodal importance sampling.


Member Function Documentation

const Model & algorithm_space_model ( ) const [inline, protected, virtual]

default definition that gets redefined in selected derived Minimizers

Reimplemented from Analyzer.

References NonDReliability::uSpaceModel.


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