Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Discrete, epistemic uncertain variable - strings within a set


This keyword is related to the topics:


Alias: none

Argument(s): INTEGER

Default: no discrete uncertain set string variables

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Optional elements_per_variable

Number of admissible elements for each set variable

Required elements

The permissible values for each discrete variable

Optional set_probabilities This keyword defines the probabilities for the various elements of discrete sets.
Optional initial_point

Initial values

Optional descriptors

Labels for the variables


Discrete set variables may be used to specify categorical choices which are epistemic. For example, if we have three possible forms for a physics model (model 1, 2, or 3) and there is epistemic uncertainty about which one is correct, a discrete uncertain set may be used to represent this type of uncertainty.

This variable is defined by a set of strings, in which the discrete value may take any value within the string set (for example, the set may be defined as 'coarse', 'medium', and 'fine')

Other epistemic types include:


 num_set_values 2             3
 set_values     'red' 'blue'  'coarse' 'medium' 'fine'
 descriptors    'ds1'         'ds2'