December 20, 2024 Software Open Access

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

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{
  "DOI": "10.14278/rodare.3353", 
  "author": [
    {
      "family": "Hernandez Acosta, Uwe"
    }, 
    {
      "family": "Wicaksono, Damar Canggih"
    }, 
    {
      "family": "Thekke Veettil, Sachin Krishnan"
    }, 
    {
      "family": "Michelfeit, Jannik"
    }, 
    {
      "family": "Hecht, Michael"
    }
  ], 
  "type": "article", 
  "title": "Minterpy - multivariate polynomial interpolation", 
  "version": "0.3.0", 
  "issued": {
    "date-parts": [
      [
        2024, 
        12, 
        20
      ]
    ]
  }, 
  "language": "eng", 
  "abstract": "<p><code>minterpy</code>&nbsp;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.<a href=\"https://github.com/casus/minterpy#user-content-fn-1-6af88c5200c34eb0ec19bb0d46102dc1\">1</a>&nbsp;and thereby provides software solutions that lift the curse of dimensionality from interpolation tasks. While interpolation occurs as the bottleneck of most computational challenges,&nbsp;<code>minterpy</code>&nbsp;aims to free empirical sciences from their computational limitations.</p>", 
  "publisher": "Rodare", 
  "id": "3353"
}