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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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A subordinate local method provides periodic refinements to a top-level global method
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 | ||
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.