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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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candidate generation by advancement of maximum rank and maximum basis order
Alias: none
Argument(s): none
Within adaptive refinement processes, this specification selects the advancement of both max_rank
and max_order
to create new refinement candidates. This option requires the use of adapt_rank
and adapt_order
, for which this advancement creates expanded ranges for the cross validation (CV) process. Once the CV process saturates for one or more of these two dimensions (the best rank is less than the max rank and/or the best order is less than the max order), then no further advancement can occur in that dimension for a particular model level/fidelity.