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-2.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.5 MB view details)

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

pypolydim-2.0.0-cp313-cp313-macosx_11_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

pypolydim-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

pypolydim-2.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.5 MB view details)

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

pypolydim-2.0.0-cp312-cp312-macosx_11_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pypolydim-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

pypolydim-2.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (9.5 MB view details)

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

pypolydim-2.0.0-cp311-cp311-macosx_11_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pypolydim-2.0.0-cp311-cp311-macosx_10_9_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

File details

Details for the file pypolydim-2.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a63ad5e4a0b3f3ae08a81245a0178c466cec2c10fcc948786c58ad190704a5b2
MD5 d775031a9222a0cecc6dbee89524dac8
BLAKE2b-256 4a4cae4feed6d12e7f39d9b425cf3bc3dcf7255d046d3f8282db4b944522ab23

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e668d69ccd1eb54839b20456aaff4f00ed3c837ddf93eb9bd1cd9532442400f9
MD5 da12eced1cbc513d396ca0374502e463
BLAKE2b-256 6287d167d530ec7560be184afdd59051c6b0339c4816784dae5a6899a2a2b2dc

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 5869e19461c2af1a0ec915c5e8308aada17b308a69fd91b99ac43d7fd67d2db6
MD5 af648fa2ec6714b98953b70a8d7dcfd6
BLAKE2b-256 eab782f5178caad45b3910fc01020e8b012e6589d880959b42564394271a9760

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f408ba3cdfba22b7d7afbbd24a5832d6e474f7d86e76a272d914d39f1c2d2ae8
MD5 94f5a8ef6be6f412177efee24e20be78
BLAKE2b-256 51d56f4b4124b684952021cd65f16cfd89c931442f811e98381146a387e1dc4d

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 52574ff06b503e9aeed378abd6553d10e906483f30194af89a785bc3406f2e56
MD5 26f8f9bc068561822fb3bef09d11052b
BLAKE2b-256 bd3bbb4de4d451b9de3b4bbc1209d109de300240f7648dbe764606e0b2bfedda

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c890cb638c45e15b06b779f486d1921cb69edbe05b4e878ec5505d985a572331
MD5 2a14b5d76dd79a0a707ef9c26cc098b1
BLAKE2b-256 703ccbcc82baa37e361d17a8b830601ddc5947f81705c19d59e48bb8748183ac

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 3d55925b65a302ef948f158a9215ced4565a4c9ba334395103386993cdda0154
MD5 6654e8adc7b10e65f9fa00ba7157c215
BLAKE2b-256 81af2c03b569205cf078206f7fbba1485a90d86cbdafa9a62a6493fe97e6f831

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 da06ec5dc47d18a9518858709093c6ff5aafde49d680462d5131b949d8c0f5a6
MD5 82e37fb1ca87839adc0d4b65592a2804
BLAKE2b-256 9824619e2aad396c34bea51d567796005dd5acc52431ea547f0ee5e765b3f456

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4969a2213fef72a9360733efbc049eaaaf57d2e125edd04fc2f5afe55e540b9d
MD5 c5f0242a6a7beafef8a9f7bd730cdcc6
BLAKE2b-256 a4b19745c3fbfa5cd36e8dec34a7bd32279ac0cd67a99e2cb4c9a33cf1cc2fe9

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