Software Open Access
Zavalani, Gentian;
Hecht, Michael
{ "language": "eng", "abstract": "<p>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.</p>", "publisher": "Rodare", "author": [ { "family": "Zavalani, Gentian" }, { "family": "Hecht, Michael" } ], "title": "surfpy is a Python package for computing surface integrals over smooth embedded manifolds.", "type": "article", "issued": { "date-parts": [ [ 2024, 6, 23 ] ] }, "id": "3029", "DOI": "10.14278/rodare.3029" }
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Zavalani, Gentian, & Hecht, Michael. (2024, June 23). surfpy is a Python package for computing surface integrals over smooth embedded manifolds. Rodare. http://doi.org/10.14278/rodare.3029