local_evidence

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• Keywords Area
• method
• local_evidence

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Evidence theory with evidence measures computed with local optimization methods

Topics

This keyword is related to the topics:

• epistemic_uncertainty_quantification_methods
• evidence_theory

Specification

Alias: nond_local_evidence

Argument(s): none

	Required/Optional	Description of Group	Dakota Keyword	Dakota Keyword Description
	Optional (Choose One)	Group 1	sqp	Uses a sequential quadratic programming method for underlying optimization
			nip	Uses a nonlinear interior point method for underlying optimization
	Optional		response_levels	Values at which to estimate desired statistics for each response
	Optional		probability_levels	Specify probability levels at which to estimate the corresponding response value
	Optional		gen_reliability_levels	Specify generalized relability levels at which to estimate the corresponding response value
	Optional		distribution	Selection of cumulative or complementary cumulative functions
	Optional		model_pointer	Identifier for model block to be used by a method

Description

Two local optimization methods are available: sqp (sequential quadratic programming or nip (nonlinear interior point method).

Additional Resources

See the topic page evidence_theory for important background information and usage notes.

Refer to variable_support for information on supported variable types.

See Also

These keywords may also be of interest:

• global_evidence
• global_interval_est
• local_interval_est