mf_pce
Multifidelity Polynomial Chaos Expansion 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 |
Automatic polynomial order refinement |
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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) |
Required (Choose One) |
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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Sequence of expansion orders used in a multi-stage expansion |
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Build a polynomial chaos expansion from simulation samples using orthogonal least interpolation. |
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Optional (Choose One) |
Basis Polynomial Family |
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 |
The normalized specification requests output of PCE coefficients that correspond to normalized orthogonal basis polynomials |
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Optional |
Export the coefficients and multi-index of a Polynomial Chaos Expansion (PCE) to a file |
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Optional (Choose One) |
Covariance Type |
Display only the diagonal terms of the covariance matrix |
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Display the full covariance matrix |
Description
Selects a multifidelity polynomial chaos expansion (MF PCE) surrogate model to use in the Bayesian likelihood calculations. Most specification options are carried over for using MF PCE as a surrogate within the Bayesian framework.