Skip to main content

Bindings Python for PolyDiM&GeDiM based on pybind11

Project description

Project Logo

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.

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

The main contributors are: Gioana Teora and Fabio Vicini.

Gioana Teora Fabio Vicini

Further features can be added to the library upon request.

We would like to express our sincere gratitude to Simone Masoero for helping us make this library available for all platforms and users.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pypolydim-2.0.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypolydim-2.0.1-cp313-cp313-macosx_11_0_arm64.whl (3.6 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

pypolydim-2.0.1-cp313-cp313-macosx_10_13_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

pypolydim-2.0.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypolydim-2.0.1-cp312-cp312-macosx_11_0_arm64.whl (3.6 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pypolydim-2.0.1-cp312-cp312-macosx_10_13_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

pypolydim-2.0.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypolydim-2.0.1-cp311-cp311-macosx_11_0_arm64.whl (3.6 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pypolydim-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

File details

Details for the file pypolydim-2.0.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 22f1b63660b8223b44ebbd42656a2605ad626b0ef1af430b6963b651cb12e6ee
MD5 92c44f393dc4bb94a672be30e44fe1d6
BLAKE2b-256 964104fd74315be554cdc8b450636a18a0e2734ea400664350c5271610e06ef0

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d70809a8b60ed5fc05250efe13a35fcb6c6f9fb4ab06330021b8229ec3a3001d
MD5 45d47ca2eec416d0f1fce0ffd1c770de
BLAKE2b-256 066fb1b5497febcf7393ce260b9ecf83a2e0799ab7cef50c3d77f484b42d9885

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 35248b9f6e8e829f3618babeb54c2f42c675b05b251ec8a30fcf638a55196a5a
MD5 3f01c370a2c9e7cf16874197ddd5cff3
BLAKE2b-256 1ce7f4df13b147bd22d4f9caa194f072b4fd6151b598373552c009ddd5ebf9c5

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 afd4744804b517b1055f3c447a270871894fe6cb1e8cea5fc49ade99d7d0c88b
MD5 69626460895c86f704fbb732901b7802
BLAKE2b-256 611d10e88ae8186ce1ef26abdbb6aff4d398fddbcf357d16713d7eb87f477be3

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 675e8d44b865315fda2f37b16ea1e441d1ae9522762a0241eea385ef4f41a4f0
MD5 8fa3f3a8a1d5897777f31621e425fe73
BLAKE2b-256 d112fd1e9b471692eed68fb9963ab9d528b767d7ded825c15621028b8c0f695a

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 420b866bc47fee29221ff8f97044fa71c48fcc65a4609b172eb51cc7774af8d2
MD5 cb674e17c0b49383a2ecc3879beec1ca
BLAKE2b-256 53d2a49196e99fa86a2085dba11d05e036ed6ce8e3d08d5e81c3056de248e989

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d7bc803dc7e8c56707e2c0a4de76cccd3cf8f42fdd7ca0bd0ecdab7ad74e6aa8
MD5 dd9eaffdd2054695a876b215749e5161
BLAKE2b-256 beca06f0a74c7f59b63cb7531cfa651f870c432bedd26dd8b33946b33dfa8ae5

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7d643bd58960a2b4cf26f95908e130708e8e7624c41e1a488982bafb841399f6
MD5 2742579bc46a77c7dbc54b6c5af7be31
BLAKE2b-256 f6f36b0dfa05bc0a05aa3cdf464f3999de0c5a8d2e494f2eb7e3395d3e8f445b

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 40d17d5af6c17ff0a21643e1259f3ad56481c1a35ca3ef3b9f2457272820ca8c
MD5 46172e51a39a6e205269f8edcb3f48cd
BLAKE2b-256 21c10602b8ecb39a50a9c7bfa1a37f63430c19485f3edb79e46868d90d34d745

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page