Dakota Reference Manual: surrogate_based_uq

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surrogate_based_uq

Generic UQ method for constructing and interrogating a surrogate model.

## Specification

Alias: none

Argument(s): none

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Optional | samples_on_emulator | Number of samples at which to evaluate an emulator (surrogate)
| Optional | sample_type | Selection of sampling strategy
| Optional | rng | Selection of a random number generator
| Optional | probability_refinement | Allow refinement of probability and generalized reliability results using importance sampling
| Optional | final_moments | Output moments of the specified type and include them within the set of final statistics.
| Optional | response_levels | Values at which to estimate desired statistics for each response
| Optional | probability_levels | Specify probability levels at which to estimate the corresponding response value
| Optional | reliability_levels | Specify reliability levels at which the response values will be estimated
| Optional | gen_reliability_levels | Specify generalized relability levels at which to estimate the corresponding response value
| Optional | distribution | Selection of cumulative or complementary cumulative functions
| Optional | variance_based_decomp | Activates global sensitivity analysis based on decomposition of response variance into main, interaction, and total effects
| Optional (Choose One) | Covariance Type (Group 1) | diagonal_covariance | Display only the diagonal terms of the covariance matrix
full_covariance | Display the full covariance matrix
| Optional | import_approx_points_file | Filename for points at which to evaluate the PCE/SC surrogate
| Optional | export_approx_points_file | Output file for surrogate model value evaluations
| Optional | seed | Seed of the random number generator
| Optional | fixed_seed | Reuses the same seed value for multiple random sampling sets
| Optional | model_pointer | Identifier for model block to be used by a method

## Description

As surrogate models by stochastic expansion migrate into the model specification, this method provides a general-purpose UQ method to interrogate the surrogate for generating statistics.

This method must identify the surrogate of interest through its `model_pointer`, distinguishing it from fully-integrated method specifications such as polynomial_chaos, stoch_collocation, and function_train that couple directly with a simulation model (and form the PCE, SC, FT surrogate approximations implicitly prior to using them for generating statistics).

## See Also

These keywords may also be of interest:

- polynomial_chaos
- stoch_collocation
- function_train