Software Open Access
Hernandez Acosta, Uwe;
Wicaksono, Damar Canggih;
Thekke Veettil, Sachin Krishnan;
Michelfeit, Jannik;
Hecht, Michael
{
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"name": "English",
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"creator": [
{
"affiliation": "HZDR/CASUS",
"name": "Hernandez Acosta, Uwe",
"@type": "Person",
"@id": "https://orcid.org/0000-0002-6182-1481"
},
{
"affiliation": "HZDR/CASUS",
"name": "Wicaksono, Damar Canggih",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-8587-7730"
},
{
"affiliation": "MPI-CBG",
"name": "Thekke Veettil, Sachin Krishnan",
"@type": "Person",
"@id": "https://orcid.org/0000-0003-4852-2839"
},
{
"affiliation": "MPI-CBG",
"name": "Michelfeit, Jannik",
"@type": "Person",
"@id": "https://orcid.org/0000-0002-1819-6975"
},
{
"affiliation": "HZDR/CASUS",
"name": "Hecht, Michael",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-9214-8253"
}
],
"license": "https://opensource.org/licenses/MIT",
"description": "<p><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.<a href=\"https://github.com/casus/minterpy#user-content-fn-1-6af88c5200c34eb0ec19bb0d46102dc1\">1</a> 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.</p>",
"identifier": "https://doi.org/10.14278/rodare.3353",
"sameAs": [
"https://www.hzdr.de/publications/Publ-36106"
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"name": "Minterpy - multivariate polynomial interpolation",
"keywords": [
"multivariate interpolation",
"multivariate polynomials",
"numerical modelling"
],
"contributor": [],
"@id": "https://doi.org/10.14278/rodare.3353",
"version": "0.3.0",
"datePublished": "2024-12-20"
}
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