smolyax: a high-performance implementation of the Smolyak interpolation operator in JAX

Jupyter Notebook Python Submitted 15 May 2025Published 14 August 2025
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Editor: @diehlpk (all papers)
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Authors

Josephine Westermann (0000-0003-3450-9166), Joshua Chen (0009-0002-2257-5780)

Citation

Westermann et al., (2025). smolyax: a high-performance implementation of the Smolyak interpolation operator in JAX. Journal of Open Source Software, 10(112), 8505, https://doi.org/10.21105/joss.08505

@article{Westermann2025, doi = {10.21105/joss.08505}, url = {https://doi.org/10.21105/joss.08505}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {112}, pages = {8505}, author = {Westermann, Josephine and Chen, Joshua}, title = {smolyax: a high-performance implementation of the Smolyak interpolation operator in JAX}, journal = {Journal of Open Source Software} }
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Polynomial Interpolation Smolyak Operator Sparse Grids Polynomial Chaos JAX Numba

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