Software Open Access
Hernandez Acosta, Uwe;
Thekke Veettil, Sachin Krishnan;
Wicaksono, Damar Canggih;
Michelfeit, Jannik;
Hecht, Michael
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"name": "Minterpy - multivariate polynomial interpolation",
"@id": "https://doi.org/10.14278/rodare.2062",
"creator": [
{
"@id": "https://orcid.org/0000-0002-6182-1481",
"name": "Hernandez Acosta, Uwe",
"affiliation": "HZDR/CASUS",
"@type": "Person"
},
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"@id": "https://orcid.org/0000-0003-4852-2839",
"name": "Thekke Veettil, Sachin Krishnan",
"affiliation": "MPI-CBG",
"@type": "Person"
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{
"@id": "https://orcid.org/0000-0001-8587-7730",
"name": "Wicaksono, Damar Canggih",
"affiliation": "HZDR/CASUS",
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{
"@id": "https://orcid.org/0000-0002-1819-6975",
"name": "Michelfeit, Jannik",
"affiliation": "MPI-CBG",
"@type": "Person"
},
{
"@id": "https://orcid.org/0000-0001-9214-8253",
"name": "Hecht, Michael",
"affiliation": "HZDR/CASUS",
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],
"keywords": [
"multivariate interpolation",
"multivariate polynomials",
"numerical modelling"
],
"version": "0.2.0-alpha",
"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>",
"datePublished": "2023-01-06",
"@type": "SoftwareSourceCode",
"identifier": "https://doi.org/10.14278/rodare.2062",
"url": "https://rodare.hzdr.de/record/2062",
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"name": "English",
"alternateName": "eng",
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"license": "https://opensource.org/licenses/MIT"
}
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