other · RODARE · 2025
Minterpy - multivariate polynomial interpolation
Hernandez Acosta, Uwe, Thekke Veettil, Sachin Krishnan, Wicaksono, Damar Canggih, Kissinger, Jannik, Hecht, Michael
Cited by 0Open access
Abstract
<code>minterpy</code> is an open-source Python package for a multivariate generalization of the classical Newton and Lagrange interpolation schemes as well as related tasks. It is based on an optimized re-implementation of the multivariate interpolation prototype algorithm (<em>MIP</em>) by Hecht et al.1 and thereby provides software solutions that lift the curse of dimensionality from interpolation tasks. While interpolation occurs as the bottleneck of most computational challenges, <code>minterpy</code> aims to free empirical sciences from their computational limitations.
Cite this paper
Hernandez Acosta, U., Thekke Veettil, S. K., Wicaksono, D. C., Kissinger, J., & Hecht, M. (2025). Minterpy - multivariate polynomial interpolation. RODARE. https://doi.org/10.14278/rodare.3725
Hernandez Acosta, Uwe, et al. “Minterpy - multivariate polynomial interpolation.” RODARE, 2025, https://doi.org/10.14278/rodare.3725.
Hernandez Acosta, Uwe, Sachin Krishnan Thekke Veettil, Damar Canggih Wicaksono, Jannik Kissinger, and Michael Hecht. 2025. “Minterpy - multivariate polynomial interpolation.” RODARE. https://doi.org/10.14278/rodare.3725.
Hernandez Acosta, U. et al. (2025) ‘Minterpy - multivariate polynomial interpolation’, RODARE. Available at: https://doi.org/10.14278/rodare.3725.
@misc{hernandezacosta2025minterpy,
title = {{Minterpy - multivariate polynomial interpolation}},
author = {Hernandez Acosta, Uwe and Thekke Veettil, Sachin Krishnan and Wicaksono, Damar Canggih and Kissinger, Jannik and Hecht, Michael},
journal = {RODARE},
year = {2025},
doi = {10.14278/rodare.3725}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.