Dataset Open Access

Data to "Minterpy: Multivariate polynomial interpolation in Python"

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


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Wicaksono, Damar Canggih</dc:creator>
  <dc:creator>Hernandez Acosta, Uwe</dc:creator>
  <dc:creator>Thekke Veettil, Sachin Krishnan</dc:creator>
  <dc:creator>Kissinger, Jannik</dc:creator>
  <dc:creator>Hecht, Michael</dc:creator>
  <dc:date>2025-01-06</dc:date>
  <dc:description>Data for the draft manuscript "Minterpy: Multivariate polynomial interpolation in Python". The archive also includes the scripts to generate the data and create the plot that appears in the paper.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/3379</dc:identifier>
  <dc:identifier>10.14278/rodare.3379</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:3379</dc:identifier>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-40457</dc:relation>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-40367</dc:relation>
  <dc:relation>doi:10.14278/rodare.3378</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/casus</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Data to "Minterpy: Multivariate polynomial interpolation in Python"</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
59
7
views
downloads
All versions This version
Views 5959
Downloads 77
Data volume 20.6 MB20.6 MB
Unique views 5757
Unique downloads 66

Share

Cite as