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surfpy is a Python package for computing surface integrals over smooth embedded manifolds.

Zavalani, Gentian; Hecht, Michael


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  <dc:creator>Zavalani, Gentian</dc:creator>
  <dc:creator>Hecht, Michael</dc:creator>
  <dc:date>2024-06-23</dc:date>
  <dc:description>Surfpy is a Python package for computing surface integrals over smooth embedded manifolds using spectral differentiation. Surfpy rests on curved surface triangulations realised due to kth-order interpolation of the closest point projection, extending initial linear surface approximations. It achieves this by employing a novel technique called square-squeezing, which involves transforming the interpolation tasks of triangulated manifolds to the standard hypercube using a cube-to-simplex transformation that has been recently introduced.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/3029</dc:identifier>
  <dc:identifier>10.14278/rodare.3029</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:3029</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-39257</dc:relation>
  <dc:relation>doi:10.14278/rodare.3028</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/1.0/legalcode</dc:rights>
  <dc:subject>high-order integration</dc:subject>
  <dc:subject>spectral differentiation</dc:subject>
  <dc:subject>numerical quadrature</dc:subject>
  <dc:subject>quadrilateral mesh</dc:subject>
  <dc:title>surfpy is a Python package for computing surface integrals over smooth embedded manifolds.</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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