Dakota Reference Manual  Version 6.15
Explore and Predict with Confidence
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mf_sc


Multifidelity Stochastic Collocation as an emulator model.

Specification

Alias: none

Argument(s): none

Child Keywords:

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Optional
(Choose One)
Automated Refinement Type (Group 1) p_refinement Automatic polynomial order refinement
h_refinement Employ h-refinement to refine the grid
Optional max_refinement_iterations

Maximum number of expansion refinement iterations

Optional allocation_control

Sample allocation approach for multifidelity expansions

Optional discrepancy_emulation

Formulation for emulation of model discrepancies.

Required
(Choose One)
Interpolation Grid Type (Group 2) quadrature_order_sequence

Sequence of quadrature orders used in a multi-stage expansion

sparse_grid_level_sequence

Sequence of sparse grid levels used in a multi-stage expansion

Optional
(Choose One)
Basis Polynomial Family (Group 3) piecewise Use piecewise local basis functions
askey

Select the standardized random variables (and associated basis polynomials) from the Askey family that best match the user-specified random variables.

wiener

Use standard normal random variables (along with Hermite orthogonal basis polynomials) when transforming to a standardized probability space.

Optional use_derivatives

Use derivative data to construct surrogate models

Optional
(Choose One)
Covariance Type (Group 4) diagonal_covariance Display only the diagonal terms of the covariance matrix
full_covariance 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.

See Also

These keywords may also be of interest: