drop_tolerance
Suppresses output of sensitivity indices with values lower than this tolerance
Specification
Alias: None
Arguments: 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