Dakota Reference Manual: embedded

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embedded

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

## Specification

Alias: coupled

Argument(s): none

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Required (Choose One) | Global Sub-method Selection (Group 1) | global_method_name | Specify the global method by Dakota name
global_method_pointer | Pointer to global method
| Required (Choose One) | Local Sub-method Selection (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
| 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.