Dakota Reference Manual: local_evidence

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

- Main Page
- Related Pages

All Pages
local_evidence

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

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Optional (Choose One) | Optimization Solver (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