Dakota Reference Manual  Version 6.15
Explore and Predict with Confidence
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increment_max_rank


candidate generation by advancement of maximum rank

Specification

Alias: none

Argument(s): none

Description

Within adaptive refinement processes, this specification selects the advancement of max_rank to create new refinement candidates. This option requires the use of adapt_rank, for which this advancement creates an expanded range for the cross validation (CV) process. Once the CV process saturates (the best rank is less than the max), then no further advancement can occur and the refinement process (for a particular model level/fidelity) halts.