Dakota Reference Manual  Version 6.12
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nonlinear_cg


(Experimental) nonlinear conjugate gradient optimization

Topics

This keyword is related to the topics:

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.