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## Surrogate Construction Tutorials | ||
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The Jupyter notebookes in this folder illustrate several ways to construct | ||
surrogate models for Genz functions | ||
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* surrogate_genz-BCS.ipynb: Constructs a surrogate for a Genz function using BCS, calculating the NRMSE | ||
* surrogate_genz-Galerkin.ipynb: Constructs a surrogate for a Genz function using Galerkin projection (with full and sparse quadrature), calculating the NRMSE | ||
* surrogate_genz-Regression.ipynb: Constructs a surrogate for a Genz function using regression, calculating the NRMSE | ||
* surrogate_genz.ipynb: Constructs a surrogate for a Genz function using Galerkin Projection, regression, and BCS, calculating the NRMSE for each | ||
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Additionally, the file surrogate_genz-BCS_detailed.ipynb gives more detailed illustrations of some of the BCS functionality available through the Python interface. |
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