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.