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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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(Default) Use internal Dakota finite differences algorithm
Alias: none
Argument(s): none
Default: relative
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Optional | ignore_bounds | Do not respect bounds when computing gradients or Hessians | ||
Optional (Choose One) | Step Scaling (Group 1) | relative | (Default) Scale step size by the parameter value | |
absolute | Do not scale step-size | |||
bounds | Scale step-size by the domain of the parameter |
The dakota
routine is the default since it can execute in parallel and exploit the concurrency in finite difference evaluations (see Exploiting Parallelism in the Users Manual [4]).
When the method_source
is dakota
, the user may also specify the type of scaling desired when determining the finite difference step size. The choices are absolute
, bounds
, and relative
. For absolute
, the step size will be applied as is. For bounds
, it will be scaled by the range of each parameter. For relative
, it will be scaled by the parameter value.