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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Sample allocation approach for multilevel expansions
Alias: none
Argument(s): none
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required (Choose One) | Multilevel Sample Allocation Control (Group 1) | estimator_variance | Variance of mean estimator within multilevel polynomial chaos | |
rank_sampling | Sample allocation based on rank sampling within multilevel function train |
Multilevel expansions, including regression-based polynomial chaos expansion (PCE) and function train (FT) expansions, require a sample allocation strategy. Three options are currently available:
Default Behavior
Current defaults, when allocation_control
is not specified, are estimator variance for PCE and rank sampling for FT.