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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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define scaling of statistical metrics when adapting UQ surrogates
Alias: none
Argument(s): none
Default: relative
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required (Choose One) | scale of refinement metric (Group 1) | relative | relative scaling of statistical metrics when adapting UQ surrogates | |
absolute | use of absolute statistical metrics when adapting UQ surrogates |
When adapting a UQ surrogate model, e.g., by change in response covariance matrix or level mappings, this option controls the use of scaling. The absolute
option indicates that there is no scaling such that the statistical change is compared directly to the convergence tolerance. The relative
option indicates that the change is measured relative to the current reference value (which evolves during the refinement), such that the convergence tolerance controls the relative change.
Default Behavior
The default is relative
.
Expected Output
Usage Tips
Additional Discussion