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 |
Number of collocation points used to estimate expansion coefficients |
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Optional |
Use sub-sampled tensor-product quadrature points to build a polynomial chaos expansion. |
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Optional |
This describes the behavior of reuse of points in constructing polynomial chaos expansion models. |
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Optional |
File containing points you wish to use to build a surrogate |
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Optional |
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