Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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local_evidence


Evidence theory with evidence measures computed with local optimization methods

Topics

This keyword is related to the topics:

Specification

Alias: nond_local_evidence

Argument(s): none

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Optional
(Choose One)
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: