Dakota Reference Manual  Version 6.15
Explore and Predict with Confidence
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sc


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

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

Order for tensor-products of Gaussian quadrature rules

sparse_grid_level

Level to use in sparse grid integration or interpolation

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 stochastic collocation (SC) model to use in the Bayesian likelihood calculations. Most specification options are carried over for using SC as a surrogate within the Bayesian framework.

See Also

These keywords may also be of interest: