dot_bfgs

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• Keywords Area
• method
• dot_bfgs

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A conjugate gradient optimization method

Specification

Alias: none

Argument(s): none

	Required/Optional	Description of Group	Dakota Keyword	Dakota Keyword Description
	Optional		max_iterations	Stopping criterion based on number of iterations
	Optional		convergence_tolerance	Stopping criterion based on convergence of the objective function or statistics
	Optional		constraint_tolerance	The maximum allowable value of constraint violation still considered to be feasible
	Optional		speculative	Compute speculative gradients
	Optional		max_function_evaluations	Stopping criteria based on number of function evaluations
	Optional		scaling	Turn on scaling for variables, responses, and constraints
	Optional		linear_inequality_constraint_matrix	Define coefficients of the linear inequality constraints
	Optional		linear_inequality_lower_bounds	Define lower bounds for the linear inequality constraint
	Optional		linear_inequality_upper_bounds	Define upper bounds for the linear inequality constraint
	Optional		linear_inequality_scale_types	Specify how each linear inequality constraint is scaled
	Optional		linear_inequality_scales	Define the characteristic values to scale linear inequalities
	Optional		linear_equality_constraint_matrix	Define coefficients of the linear equalities
	Optional		linear_equality_targets	Define target values for the linear equality constraints
	Optional		linear_equality_scale_types	Specify how each linear equality constraint is scaled
	Optional		linear_equality_scales	Define the characteristic values to scale linear equalities
	Optional		model_pointer	Identifier for model block to be used by a method

Description

This is a duplicated keyword. Please use dot instead.

See Also

These keywords may also be of interest:

• bfgs