Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Specify the number of intervals for each variable


Alias: iuv_num_intervals

Argument(s): INTEGERLIST

Default: Equal apportionment of intervals among variables


In Dakota, epistemic uncertainty analysis is performed using either interval estimation or Dempster-Shafer theory of evidence. In these approaches, one does not assign a probability distribution to each uncertain input variable. Rather, one divides each uncertain input variable into one or more intervals. The input parameters are only known to occur within intervals; nothing more is assumed. num_intervals specifies the number of such intervals associated with each interval uncertain parameter.