December 6, 2021 Software Open Access

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

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  <identifier identifierType="DOI">10.14278/rodare.2061</identifier>
  <creators>
    <creator>
      <creatorName>Hernandez Acosta, Uwe</creatorName>
      <givenName>Uwe</givenName>
      <familyName>Hernandez Acosta</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6182-1481</nameIdentifier>
      <affiliation>HZDR/CASUS</affiliation>
    </creator>
    <creator>
      <creatorName>Thekke Veettil, Sachin Krishnan</creatorName>
      <givenName>Sachin Krishnan</givenName>
      <familyName>Thekke Veettil</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4852-2839</nameIdentifier>
      <affiliation>MPI-CBG</affiliation>
    </creator>
    <creator>
      <creatorName>Wicaksono, Damar Canggih</creatorName>
      <givenName>Damar Canggih</givenName>
      <familyName>Wicaksono</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8587-7730</nameIdentifier>
      <affiliation>HZDR/CASUS</affiliation>
    </creator>
    <creator>
      <creatorName>Michelfeit, Jannik</creatorName>
      <givenName>Jannik</givenName>
      <familyName>Michelfeit</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1819-6975</nameIdentifier>
      <affiliation>MPI-CBG</affiliation>
    </creator>
    <creator>
      <creatorName>Hecht, Michael</creatorName>
      <givenName>Michael</givenName>
      <familyName>Hecht</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9214-8253</nameIdentifier>
      <affiliation>HZDR/CASUS</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Minterpy - multivariate polynomial interpolation</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>multivariate interpolation</subject>
    <subject>multivariate polynomials</subject>
    <subject>numerical modelling</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-12-06</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/2061</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-36106</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.2058</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/hzdr</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <version>0.1.1-alpha</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;code&gt;minterpy&lt;/code&gt;&amp;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 (&lt;em&gt;MIP&lt;/em&gt;) by Hecht et al.&lt;a href="https://github.com/casus/minterpy#user-content-fn-1-6af88c5200c34eb0ec19bb0d46102dc1"&gt;1&lt;/a&gt;&amp;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,&amp;nbsp;&lt;code&gt;minterpy&lt;/code&gt;&amp;nbsp;aims to free empirical sciences from their computational limitations.&lt;/p&gt;</description>
  </descriptions>
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