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

Optional (Choose One)

Automated Refinement Type

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

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

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

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.