Dakota Reference Manual: sobol

| Dakota Reference Manual Version 6.15 Explore and Predict with Confidence

- Main Page
- Related Pages

All Pages
sobol

Estimate dimension preference for automated refinement of stochastic expansion using total Sobol' sensitivity indices.

## Specification

Alias: none

Argument(s): none

Default: generalized

## Description

Determine dimension preference for refinement of a stochastic expansion from the total Sobol' sensitivity indices obtained from global sensitivity analysis. High indices indicate high importance for resolving statistical quantities of interest and therefore result in high dimension preference.

## Examples

    method,
            polynomial_chaos
              sparse_grid_level = 3
              dimension_adaptive p_refinement sobol
                max_iterations  = 20
                convergence_tol = 1.e-4