Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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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

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Required collocation_points_sequence Specify the number of collocation points used to estimate PCE coefficients using orthogonal least interpolation
Optional cross_validation Use cross validation to choose the 'best' polynomial order of a polynomial chaos expansion.
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