Dakota Reference Manual: increment_max_rank

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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.