Dakota Reference Manual: numerical_gradients

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numerical_gradients

Gradients are needed and will be approximated by finite differences

## Specification

Alias: none

Argument(s): none

Child Keywords:

| Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description
--- | --- | --- | --- | ---
| Optional | method_source | Specify which finite difference routine is used
| Optional (Choose One) | Gradient Source (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
| Optional (Choose One) | Finite Difference Type (Group 2) | forward | (Default) Use forward differences
central | Use central differences
| Optional | fd_step_size | Step size used when computing gradients and Hessians

## Description

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:

- no_gradients
- analytic_gradients
- mixed_gradients