Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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embedded


A subordinate local method provides periodic refinements to a top-level global method

Specification

Alias: coupled

Argument(s): none

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Required
(Choose One)
Group 1 global_method_name Specify the global method by Dakota name
global_method_pointer Pointer to global method
Required
(Choose One)
Group 2 local_method_name

Specify the local method by Dakota name

local_method_pointer Pointer to local method
Optional local_search_probability Probability of executing local searches

Description

In the embedded approach, a tightly-coupled hybrid is employed in which a subordinate local method provides periodic refinements to a top-level global method.

Global and local method strings supplied with the global_method_pointer and local_method_pointer specifications identify the two methods to be used. Alternatively, Dakota method names (e.g. 'soga') can be supplied using the global_method_name and local_method_name keywords, which each have optional model pointer specifications. The local_search_probability setting is an optional specification for supplying the probability (between 0.0 and 1.0) of employing local search to improve estimates within the global search.