Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Dakota variables can be grouped by their type, including all, design, uncertain, aleatory, epistemic, or state. There are certain situations where the user may want to explicitly control the subset of variables that is considered active for a certain Dakota method, and override the default alignments between methods and variable types. Refer to active for additional information.

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