Software Open Access
Minterpy - multivariate polynomial interpolation
Hernandez Acosta, Uwe;
Thekke Veettil, Sachin Krishnan;
Wicaksono, Damar Canggih;
Michelfeit, Jannik;
Hecht, Michael
minterpy 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 (MIP) 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, minterpy aims to free empirical sciences from their computational limitations.
| Name | Size | |
|---|---|---|
|
minterpy-0.3.0.zip
md5:a2e8c0169ada1ee5f193cdc026894fc7 |
5.5 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 4,310 | 837 |
| Downloads | 281 | 47 |
| Data volume | 2.2 GB | 256.2 MB |
| Unique views | 3,485 | 781 |
| Unique downloads | 271 | 46 |
- Publication date:
- December 20, 2024
- DOI:
-
- Keyword(s):
- multivariate interpolation multivariate polynomials numerical modelling
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-36106 - Communities:
- License (for files):
- MIT License