Dakota Reference Manual: variable_type

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

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variable_type

## Description

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.

## Related Topics

- design_variables
- aleatory_uncertain_variables
- epistemic_uncertain_variables
- state_variables

## Related Keywords