Dakota Reference Manual: nonlinear_cg

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nonlinear_cg

(Experimental) nonlinear conjugate gradient optimization

## Topics

This keyword is related to the topics:

- local_optimization_methods

## Specification

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

## Description

This method is an incomplete experimental implementation of nonlinear conjugate gradient optimization, a local, gradient-based solver.