Software Open Access
surfpy is a Python package for computing surface integrals over smooth embedded manifolds.
Zavalani, Gentian;
Hecht, Michael
Citation Style Language JSON Export
{
"publisher": "Rodare",
"id": "3029",
"issued": {
"date-parts": [
[
2024,
6,
23
]
]
},
"type": "article",
"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>",
"DOI": "10.14278/rodare.3029",
"title": "surfpy is a Python package for computing surface integrals over smooth embedded manifolds.",
"language": "eng",
"author": [
{
"family": "Zavalani, Gentian"
},
{
"family": "Hecht, Michael"
}
]
}
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| Views | 314 | 338 |
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| Data volume | 15.5 MB | 15.5 MB |
| Unique views | 255 | 274 |
| Unique downloads | 31 | 31 |
- Publication date:
- June 23, 2024
- DOI:
-
- Keyword(s):
- high-order integration spectral differentiation numerical quadrature quadrilateral mesh
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-39257 - Communities:
- License (for files):
- Creative Commons Attribution 1.0 Generic