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Dakota Reference Manual
Version 6.16
Explore and Predict with Confidence
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Build a polynomial chaos expansion from simulation samples using orthogonal least interpolation.
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 | ||
| Optional | posterior_adaptive | Adapt emulator model to increase accuracy in high posterior probability regions | ||
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