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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Use an analytic covariance function for the purposes of generating a random field model. THIS IS AN EXPERIMENTAL CAPABILITY.
Alias: none
Argument(s): none
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Required (Choose One) | Covariance Kernel Form (Group 1) | squared_exponential | Specify a squared exponential covariance in the case where the random field is built from an analytic covariance functio. THIS IS AN EXPERIMENTAL CAPABILITY. | |
exponential | Specify an exponential covariance in the case where the random field is built from an analytic covariance functio. THIS IS AN EXPERIMENTAL CAPABILITY. |
As part of the capability to generate a random field representation, the user needs to specify the data used to generate the random field representation. If analytic_covariance
is specified, an analytic covariance function will be used to generate instantiations of a random field over a mesh. The form of the covariance function must be specified (e.g. exponential
or squared_exponential
. THIS IS AN EXPERIMENTAL CAPABILITY UNDER ACTIVE DEVELOPMENT.
Default Behavior Currently, the build_source
that is fully working is the dace_method_pointer
. The others are not fully operational.