mf_sc
Multifidelity Stochastic Collocation as an emulator model.
Specification
Alias: None
Arguments: None
Child Keywords:
Required/Optional |
Description of Group |
Dakota Keyword |
Dakota Keyword Description |
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Optional (Choose One) |
Automated Refinement Type |
Automatic polynomial order refinement |
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Employ h-refinement to refine the grid |
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Optional |
Maximum number of expansion refinement iterations |
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Optional |
Sample allocation approach for multifidelity expansions |
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Optional |
Formulation for emulation of model discrepancies. |
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Required (Choose One) |
Interpolation Grid Type |
Sequence of quadrature orders used in a multi-stage expansion |
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Sequence of sparse grid levels used in a multi-stage expansion |
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Optional (Choose One) |
Basis Polynomial Family |
Use piecewise local basis functions |
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Select the standardized random variables (and associated basis polynomials) from the Askey family that best match the user-specified random variables. |
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Use standard normal random variables (along with Hermite orthogonal basis polynomials) when transforming to a standardized probability space. |
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Optional |
Use derivative data to construct surrogate models |
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Optional (Choose One) |
Covariance Type |
Display only the diagonal terms of the covariance matrix |
|
Display the full covariance matrix |
Description
Selects a multifidelity stochastic collocation (MF SC) surrogate model to use in the Bayesian likelihood calculations. Most specification options are carried over for using MF SC as a surrogate within the Bayesian framework.