Dakota Reference Manual: drop_tolerance

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drop_tolerance

Suppresses output of sensitivity indices with values lower than this tolerance

## Specification

Alias: none

Argument(s): REAL

Default: All VBD indices displayed

## Description

The `drop_tolerance` keyword allows the user to specify a value below which sensitivity indices generated by `variance_based_decomp` are not displayed.

Default Behavior

By default, all sensitivity indices generated by `variance_based_decomp` are displayed.

Usage Tips

For `polynomial_chaos`, which outputs main, interaction, and total effects by default, the `univariate_effects` may be a more appropriate option. It allows suppression of the interaction effects since the output volume of these results can be prohibitive for high dimensional problems. Similar to suppression of these interactions is the covariance control, which can be selected to be diagonal_covariance or full_covariance, with the former supporting suppression of the off-diagonal covariance terms (to save compute and memory resources and reduce output volume).

## Examples

    method,
      sampling
        sample_type lhs
        samples = 100
        variance_based_decomp
        drop_tolerance = 0.001