Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Gradients are needed and will be approximated by finite differences


Alias: none

Argument(s): none

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Optional method_source

Specify which finite difference routine is used

(Choose One)
Group 1 dakota (Default) Use internal Dakota finite differences algorithm
vendor Use non-Dakota fd algorithm
Optional interval_type

Specify how to compute gradients and hessians

(Choose One)
Group 2 forward

(Default) Use forward differences

central Use central differences
Optional fd_step_size

Step size used when computing gradients and Hessians


The numerical_gradients specification means that gradient information is needed and will be computed with finite differences using either the native or one of the vendor finite differencing routines.

See Also

These keywords may also be of interest: