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 Evidence Theory for important background information and usage notes.

Refer to Variable Support for information on supported variable types.