orthogonal_least_interpolation

Build a polynomial chaos expansion from simulation samples using orthogonal least interpolation.

Specification

• Alias: least_interpolation oli

• Arguments: None

Child Keywords:

Required/Optional	Description of Group	Dakota Keyword	Dakota Keyword Description
Required		collocation_points	Number of collocation points used to estimate expansion coefficients
Optional		tensor_grid	Use sub-sampled tensor-product quadrature points to build a polynomial chaos expansion.
Optional		reuse_points	This describes the behavior of reuse of points in constructing polynomial chaos expansion models.
Optional		import_build_points_file	File containing points you wish to use to build a surrogate
Optional		posterior_adaptive	Adapt emulator model to increase accuracy in high posterior probability regions

Description

Build a polynomial chaos expansion from simulation samples using orthogonal least interpolation. Unlike the other regression methods expansion_order cannot be set. OLI will produce the lowest degree polynomial that interpolates the data