Base class for the reliability methods within DAKOTA/UQ. More...
Inheritance diagram for NonDReliability:
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 Model & | algorithm_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:
- NonDReliability.hpp
- NonDReliability.cpp
