Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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(Experimental) nonlinear conjugate gradient optimization


This keyword is related to the topics:


Alias: none

Argument(s): none

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 convergence of the objective function or statistics

Optional max_iterations

Stopping criterion based on number of iterations

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.