Dakota Reference Manual  Version 6.15
Explore and Predict with Confidence
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uniform


Refine an expansion uniformly in all dimensions.

Specification

Alias: none

Argument(s): none

Child Keywords:

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Required
(Choose One)
Uniform Refinement Approach (Group 1) increment_start_rank

candidate generation by advancement of starting rank

increment_start_order

candidate generation by advancement of starting basis order

increment_max_rank

candidate generation by advancement of maximum rank

increment_max_order

candidate generation by advancement of maximum basis order

increment_max_rank_order

candidate generation by advancement of maximum rank and maximum basis order

Description

The quadrature_order or sparse_grid_level are ramped by one on each refinement iteration until either of the two convergence controls is satisfied. For the uniform refinement case with regression approaches, the expansion_order is ramped by one on each iteration while the oversampling ratio (either defined by collocation_ratio or inferred from collocation_points based on the initial expansion) is held fixed.