There is a newer version of this record available.

Software Open Access

Minterpy - multivariate polynomial interpolation

Hernandez Acosta, Uwe; Thekke Veettil, Sachin Krishnan; Wicaksono, Damar Canggih; Michelfeit, Jannik; Hecht, Michael


Citation Style Language JSON Export

{
  "title": "Minterpy - multivariate polynomial interpolation", 
  "issued": {
    "date-parts": [
      [
        2024, 
        12, 
        20
      ]
    ]
  }, 
  "abstract": "<p><code>minterpy</code>\u00a0is 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.<a href=\"https://github.com/casus/minterpy#user-content-fn-1-6af88c5200c34eb0ec19bb0d46102dc1\">1</a>\u00a0and thereby provides software solutions that lift the curse of dimensionality from interpolation tasks. While interpolation occurs as the bottleneck of most computational challenges,\u00a0<code>minterpy</code>\u00a0aims to free empirical sciences from their computational limitations.</p>", 
  "version": "0.3.0", 
  "author": [
    {
      "family": "Hernandez Acosta, Uwe"
    }, 
    {
      "family": "Thekke Veettil, Sachin Krishnan"
    }, 
    {
      "family": "Wicaksono, Damar Canggih"
    }, 
    {
      "family": "Michelfeit, Jannik"
    }, 
    {
      "family": "Hecht, Michael"
    }
  ], 
  "language": "eng", 
  "DOI": "10.14278/rodare.3354", 
  "id": "3354", 
  "publisher": "Rodare", 
  "type": "article"
}
3,651
221
views
downloads
All versions This version
Views 3,651725
Downloads 22147
Data volume 1.6 GB256.2 MB
Unique views 2,878672
Unique downloads 21346

Share

Cite as