Dakota Reference Manual: orthogonal_least_interpolation

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orthogonal_least_interpolation

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

## Specification

Alias: least_interpolation oli

Argument(s): 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