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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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Simplex-based derivative free optimization method
This keyword is related to the topics:
Alias: none
Argument(s): none
Child Keywords:
| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
|---|---|---|---|---|
| Optional | search_scheme_size | Number of points to be used in the direct search template | ||
| Optional | max_iterations | Number of iterations allowed for optimizers and adaptive UQ methods | ||
| Optional | convergence_tolerance | Stopping criterion based on objective function or statistics convergence | ||
| Optional | max_function_evaluations | Number of function evaluations allowed for optimizers | ||
| Optional | scaling | Turn on scaling for variables, responses, and constraints | ||
| Optional | model_pointer | Identifier for model block to be used by a method | ||
The direct search algorithm, PDS (parallel direct search method), supports bound constraints.
The PDS method can directly exploit asynchronous evaluations; however, this capability has not yet been implemented in Dakota.
See package_optpp for info related to all optpp methods.
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