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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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(Experimental) nonlinear conjugate gradient optimization
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 | misc_options | Options for nonlinear CG optimizer | ||
| Optional | convergence_tolerance | Stopping criterion based on objective function or statistics convergence | ||
| Optional | max_iterations | Number of iterations allowed for optimizers and adaptive UQ methods | ||
| Optional | scaling | Turn on scaling for variables, responses, and constraints | ||
| Optional | model_pointer | Identifier for model block to be used by a method | ||
This method is an incomplete experimental implementation of nonlinear conjugate gradient optimization, a local, gradient-based solver.