embedded

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

Specification

• Alias: coupled

• Arguments: None

Child Keywords:

Required/Optional	Description of Group	Dakota Keyword	Dakota Keyword Description
Required (Choose One)	Global Sub-method Selection	global_method_name	Specify the global method by Dakota name
		global_method_pointer	Pointer to global method
Required (Choose One)	Local Sub-method Selection	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
Optional		iterator_servers	Specify the number of iterator servers when Dakota is run in parallel
Optional		iterator_scheduling	Specify the scheduling of concurrent iterators when Dakota is run in parallel
Optional		processors_per_iterator	Specify the number of processors per iterator server when Dakota is run in parallel

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.