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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Maximum number of high-fidelity model runs to be used
Alias: none
Argument(s): INTEGER
There are three stopping criteria by which the Bayesian experimental design algorithm will be terminated:
max_hifi_evaluations
times Default Behavior
If no maximum number of high-fidelity model runs is specified, only the last two stopping criteria listed above will be evaluated.
Usage Tips
Be wary that max_hifi_evaluations
does not include any high-fidelity model evaluations that need to be run to produce the data set for the initial Bayesian calibration. This number only includes those evaluations performed on the sequentially chosen optimal design points
If max_hifi_evaluations
is set to zero, the a single optimal experimental design point will be selected, and Dakota will exit without running the high- fidelity model.