nonlinear_cg

(Experimental) nonlinear conjugate gradient optimization

Topics

local_optimization_methods

Specification

  • Alias: None

  • Arguments: 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.