Metadata-Version: 2.2
Name: pypolydim
Version: 2.0.10
Summary: Bindings Python for PolyDiM&GeDiM based on pybind11
Keywords: vem,fem,mesh,dfn,adaptativity,geometry,voronoi,tetgen,triangle
Author-Email: Gioana Teora <gioana.teora@polito.it>, Fabio Vicini <fabio.vicini@polito.it>
Maintainer-Email: Gioana Teora <gioana.teora@polito.it>
License: GPL
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Project-URL: Homepage, https://www.polydim.it/
Project-URL: Repository, https://github.com/AURION-Polito/PolyDiM/
Project-URL: Documentation, https://docs.polydim.it/
Project-URL: Issues, https://github.com/AURION-Polito/PolyDiM/issues
Requires-Python: >=3.11
Description-Content-Type: text/markdown

<p align="center">
  <img src="https://www.polydim.it/images/logo_polydim.png" width="200" alt="Project Logo">
</p>

**PolyDiM** (POLYtopal DIscretization Methods ) is a numerical computational library designed for solving partial differential equations (PDEs) using discretization methods that operate on generic polytopal (polygonal/polyhedral) meshes.

PolyDiM is fully integrated with **GeDiM** (GEometry for DIscretization MEthods), a C++ library developed by the same authors to provide robust geometry handling for
polytopal domains. 

PolyDiM&GeDiM is inspired by and built upon the foundational research of the Numerical Analysis Group in the Department of Mathematical Sciences "G. L. Lagrange" (DISMA) at the Politecnico di Torino.

See the official [documentation](https://polydim.it/).

This file can be used by citing references in CITATION.cff file in the GitHub repository.

The main contributors are: [**Gioana Teora**](https://orcid.org/0000-0002-8540-3639) and [**Fabio Vicini**](https://orcid.org/0000-0001-7123-9199).

<p align="center">
  <img src="https://avatars.githubusercontent.com/u/101270496?v=4" width="200" alt="Gioana Teora">
  <img src="https://mypoli.polito.it/_library/image_pub.asp?matricola=034851" width="195" alt="Fabio Vicini">
</p>


Further features can be added to the library upon request.

We would like to express our sincere gratitude to [Simone Masoero](https://github.com/smsimone) for helping us make this library available for all platforms and users.

