.. _method-polynomial_chaos-orthogonal_least_interpolation: """""""""""""""""""""""""""""" orthogonal_least_interpolation """""""""""""""""""""""""""""" Build a polynomial chaos expansion from simulation samples using orthogonal least interpolation. .. toctree:: :hidden: :maxdepth: 1 method-polynomial_chaos-orthogonal_least_interpolation-collocation_points method-polynomial_chaos-orthogonal_least_interpolation-tensor_grid method-polynomial_chaos-orthogonal_least_interpolation-reuse_points method-polynomial_chaos-orthogonal_least_interpolation-import_build_points_file **Specification** - *Alias:* least_interpolation oli - *Arguments:* None **Child Keywords:** +-------------------------+--------------------+------------------------------+---------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+==============================+=============================================+ | 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 | +----------------------------------------------+------------------------------+---------------------------------------------+ .. __: method-polynomial_chaos-orthogonal_least_interpolation-collocation_points.html __ method-polynomial_chaos-orthogonal_least_interpolation-tensor_grid.html __ method-polynomial_chaos-orthogonal_least_interpolation-reuse_points.html __ method-polynomial_chaos-orthogonal_least_interpolation-import_build_points_file.html **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