local_evidence

Evidence theory with evidence measures computed with local optimization methods

Topics

epistemic_uncertainty_quantification_methods, evidence_theory

Specification

• Alias: nond_local_evidence

• Arguments: None

Child Keywords:

Required/Optional	Description of Group	Dakota Keyword	Dakota Keyword Description
Optional (Choose One)	Optimization Solver	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 topic-evidence_theory for important background information and usage notes.

Refer to topic-variable_support for information on supported variable types.