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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Dakota variables can be grouped their type: design, uncertain (further sub-divided into aleatory and epistemic), and state. These distinctions are useful in situations where the user may want to explicitly control the subset of variables that is considered active for a certain Dakota method, overriding the default active variable type.