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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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type of statistical metric roll-up for multifidelity UQ methods
Alias: none
Argument(s): none
Default: DEFAULT_EXPANSION_STATS
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required (Choose One) | Statistics mode for refinement metric (Group 1) | active | use statistics for the active expansion within multifidelity refinement | |
combined | use statistics for the combined expansion within multifidelity refinement |
When performing adaptive refinement in multifidelity UQ methods, one can adapt the expansion for a model level/fidelity based on its local statistics (active
) or based on the statistics for the aggregate expansion (combined
). The latter case may incur additional computational overhead, but ensures that the refinement occurs in the aggregate multifidelity context.
Default Behavior
Default for multifidelity methods is combined
statistics.
Expected Output
Usage Tips
Additional Discussion