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

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