Software Open Access
Zavalani, Gentian;
Hecht, Michael
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<dct:title>surfpy is a Python package for computing surface integrals over smooth embedded manifolds.</dct:title>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2024</dct:issued>
<dcat:keyword>high-order integration</dcat:keyword>
<dcat:keyword>spectral differentiation</dcat:keyword>
<dcat:keyword>numerical quadrature</dcat:keyword>
<dcat:keyword>quadrilateral mesh</dcat:keyword>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2024-06-23</dct:issued>
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<dct:description><p>Surfpy is a Python package for computing surface integrals over smooth embedded manifolds using spectral differentiation.&nbsp;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.</p></dct:description>
<dct:description xml:lang="">{"references": ["Zavalani, Gentian et al.(2024). High-order numerical integration on regular embedded surfaces to \tarXiv:2403.09178"]}</dct:description>
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