Inheritance diagram for NonD:
Public Member Functions | |
| void | initialize_random_variables () |
| initialize natafTransform based on distribution data from iteratedModel | |
| void | initialize_random_variables (const Pecos::ProbabilityTransformation &transform) |
| initialize natafTransform based on incoming data | |
| void | requested_levels (const RealVectorArray &req_resp_levels, const RealVectorArray &req_prob_levels, const RealVectorArray &req_rel_levels, const RealVectorArray &req_gen_rel_levels, short resp_lev_target, bool cdf_flag) |
| combination with alternate ctors) | |
| void | moments (const RealVector &means, const RealVector &std_devs) |
| set meanStats and stdDevStats | |
| void | distribution_parameter_derivatives (bool dist_param_derivs) |
| set distParamDerivs | |
Protected Member Functions | |
| NonD (Model &model) | |
| constructor | |
| NonD (NoDBBaseConstructor, Model &model) | |
| alternate constructor for sample generation and evaluation "on the fly" | |
| NonD (NoDBBaseConstructor, const RealVector &lower_bnds, const RealVector &upper_bnds) | |
| alternate constructor for sample generation "on the fly" | |
| ~NonD () | |
| destructor | |
| void | derived_pre_run () |
| portions of pre_run specific to derived iterators | |
| void | run () |
| run the iterator; portion of run_iterator() | |
| void | derived_post_run () |
| portions of post_run specific to derived iterators | |
| const Response & | response_results () const |
| return the final statistics from the nondeterministic iteration | |
| void | response_results_active_set (const ActiveSet &set) |
| set the active set within finalStatistics | |
| virtual void | quantify_uncertainty ()=0 |
| distributions into response statistics | |
| virtual void | initialize_final_statistics () |
| initializes finalStatistics for storing NonD final results | |
| void | initialize_random_variable_types () |
| initializes ranVarTypesX and ranVarTypesU within natafTransform | |
| void | initialize_random_variable_parameters () |
| ranVarUpperBndsX, and ranVarAddtlParamsX within natafTransform | |
| void | trans_U_to_X (const RealVector &u_rv, RealVector &x_rv) |
| for DAKOTA data types | |
| void | trans_X_to_U (const RealVector &x_rv, RealVector &u_rv) |
| for DAKOTA data types | |
Static Protected Member Functions | |
| static void | vars_u_to_x_mapping (const Variables &u_vars, Variables &x_vars) |
| from NonD Iterators to x-space variables for Model evaluations. | |
| static void | set_u_to_x_mapping (const ActiveSet &u_set, ActiveSet &x_set) |
| from NonD Iterators to x-space ActiveSets for Model evaluations. | |
| static void | resp_x_to_u_mapping (const Variables &x_vars, const Variables &u_vars, const Response &x_response, Response &u_response) |
| Model evaluations to u-space responses for return to NonD Iterators. | |
Protected Attributes | |
| NonD * | prevNondInstance |
| pointer containing previous value of nondInstance | |
| bool | extendedUSpace |
| std uniforms, std exponentials, std betas, and std gammas. | |
| Pecos::ProbabilityTransformation | natafTransform |
| data for performing transformations from X -> Z -> U and back. | |
| size_t | numDesignVars |
| distinct from numUniformVars) | |
| size_t | numStateVars |
| distinct from numUniformVars) | |
| size_t | numNormalVars |
| number of normal uncertain variables (native space) | |
| size_t | numLognormalVars |
| number of lognormal uncertain variables (native space) | |
| size_t | numUniformVars |
| number of uniform uncertain variables (native space) | |
| size_t | numLoguniformVars |
| number of loguniform uncertain variables (native space) | |
| size_t | numTriangularVars |
| number of triangular uncertain variables (native space) | |
| size_t | numExponentialVars |
| number of exponential uncertain variables (native space) | |
| size_t | numBetaVars |
| number of beta uncertain variables (native space) | |
| size_t | numGammaVars |
| number of gamma uncertain variables (native space) | |
| size_t | numGumbelVars |
| number of gumbel uncertain variables (native space) | |
| size_t | numFrechetVars |
| number of frechet uncertain variables (native space) | |
| size_t | numWeibullVars |
| number of weibull uncertain variables (native space) | |
| size_t | numHistogramVars |
| number of histogram uncertain variables (native space) | |
| size_t | numIntervalVars |
| number of interval uncertain variables (native space) | |
| size_t | numUncertainVars |
| total number of uncertain variables (native space) | |
| size_t | numResponseFunctions |
| number of response functions | |
| RealVector | meanStats |
| means of response functions (calculated in compute_statistics()) | |
| RealVector | stdDevStats |
| std deviations of response functions (calculated in compute_statistics()) | |
| RealVectorArray | requestedRespLevels |
| requested response levels for all response functions | |
| RealVectorArray | computedProbLevels |
| from requestedRespLevels | |
| RealVectorArray | computedRelLevels |
| from requestedRespLevels | |
| RealVectorArray | computedGenRelLevels |
| resulting from requestedRespLevels | |
| short | respLevelTarget |
| or z->beta* (GEN_RELIABILITIES) | |
| RealVectorArray | requestedProbLevels |
| requested probability levels for all response functions | |
| RealVectorArray | requestedRelLevels |
| requested reliability levels for all response functions | |
| RealVectorArray | requestedGenRelLevels |
| requested generalized reliability levels for all response functions | |
| RealVectorArray | computedRespLevels |
| requestedProbLevels, requestedRelLevels, or requestedGenRelLevels | |
| size_t | totalLevelRequests |
| requestedProbLevels, and requestedRelLevels | |
| bool | cdfFlag |
| cumulative/CDF (true) or complementary/CCDF (false) | |
| Response | finalStatistics |
| response means, standard deviations, and probabilities of failure | |
Static Protected Attributes | |
| static NonD * | nondInstance |
| functions in order to avoid the need for static data | |
| static const Real | Pi |
| the numerical value for Pi used in several routines | |
Private Member Functions | |
| void | distribute_levels (RealVectorArray &levels) |
| response functions if a short-hand specification is employed. | |
Private Attributes | |
| bool | distParamDerivs |
| to standard random variables u using the chain rule df/dx dx/du. | |
The base class for nondeterministic iterators consolidates uncertain variable data and probabilistic utilities for inherited classes.
| void initialize_random_variables | ( | ) |
initialize natafTransform based on distribution data from iteratedModel
Build ProbabilityTransformation::ranVar arrays containing the uncertain variable distribution types and their corresponding means/standard deviations. This function is used when the Model variables are in x-space.
| void initialize_random_variables | ( | const Pecos::ProbabilityTransformation & | transform | ) |
initialize natafTransform based on incoming data
This function is commonly used to publish tranformation data when the Model variables are in a transformed space (e.g., u-space) and ProbabilityTransformation::ranVarTypes et al. may not be generated directly. This allows for the use of inverse transformations to return the transformed space variables to their original states.
| void derived_pre_run | ( | ) | [inline, protected, virtual] |
| void run | ( | ) | [inline, protected, virtual] |
run the iterator; portion of run_iterator()
Iterator supports a construct/pre-run/run/post-run/destruct progression. This function is the virtual run function for the iterator class hierarchy. All derived classes need to redefine it.
Reimplemented from Iterator.
| void derived_post_run | ( | ) | [inline, protected, virtual] |
portions of post_run specific to derived iterators
Iterator supports a construct/pre-run/run/post-run/destruct progression. This function is the virtual derived class portion of post_run(). Redefinition by derived classes is optional.
Reimplemented from Iterator.
| void initialize_final_statistics | ( | ) | [protected, virtual] |
initializes finalStatistics for storing NonD final results
Default definition of virtual function (used by sampling, reliability, and polynomial chaos) defines the set of statistical results to include means, standard deviations, and level mappings.
Reimplemented in NonDEvidence.
| void initialize_random_variable_types | ( | ) | [protected] |
initializes ranVarTypesX and ranVarTypesU within natafTransform
Build ProbabilityTransformation::ranVar arrays containing the uncertain variable distribution types and their corresponding means/standard deviations. This function is used when the Model variables are in x-space.
| void initialize_random_variable_parameters | ( | ) | [protected] |
ranVarUpperBndsX, and ranVarAddtlParamsX within natafTransform
Build ProbabilityTransformation::ranVar arrays containing the uncertain variable distribution types and their corresponding means/standard deviations. This function is used when the Model variables are in x-space.
1.5.1