Software Open Access
surfpy is a Python package for computing surface integrals over smooth embedded manifolds.
Zavalani, Gentian;
Hecht, Michael
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.
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surfpy
md5:89c0f46ed1b9694efa95db06f246b158 |
54.0 kB | Download |
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surfpy-main.zip
md5:4e59d782214add3e128ea356affe9ef6 |
2.8 MB | Download |
Zavalani, Gentian et al.(2024). High-order numerical integration on regular embedded surfaces to arXiv:2403.09178
| All versions | This version | |
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| Views | 385 | 385 |
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| Data volume | 18.6 MB | 18.6 MB |
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| Unique downloads | 36 | 36 |
- 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