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 |
Use a sequential quadratic programming method for solving an optimization sub-problem |
|
Use a nonlinear interior point method for solving an optimization sub-problem |
|||
Optional |
Values at which to estimate desired statistics for each response |
||
Optional |
Specify probability levels at which to estimate the corresponding response value |
||
Optional |
Specify generalized relability levels at which to estimate the corresponding response value |
||
Optional |
Selection of cumulative or complementary cumulative functions |
||
Optional |
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.