Bindings Python for PolyDiM&GeDiM based on pybind11

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gioana.teora from gravatar.com gioana.teora

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL)
  • Author: Gioana Teora
  • Maintainer: Gioana Teora
  • Tags vem , fem , mesh , dfn , adaptativity , geometry , voronoi , tetgen , triangle
  • Requires: Python >=3.11
Classifiers
Report project as malware

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for gioana.teora from gravatar.com gioana.teora

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPL)
  • Author: Gioana Teora
  • Maintainer: Gioana Teora
  • Tags vem , fem , mesh , dfn , adaptativity , geometry , voronoi , tetgen , triangle
  • Requires: Python >=3.11
Classifiers

Release history Release notifications | RSS feed

3.0.0

2.0.17

2.0.16

This version

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

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-2.0.15-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (11.1 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

pypolydim-2.0.15-cp314-cp314-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

pypolydim-2.0.15-cp314-cp314-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.14macOS 10.13+ x86-64

pypolydim-2.0.15-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (11.1 MB view details)

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

pypolydim-2.0.15-cp313-cp313-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

pypolydim-2.0.15-cp313-cp313-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

pypolydim-2.0.15-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (11.1 MB view details)

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

pypolydim-2.0.15-cp312-cp312-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pypolydim-2.0.15-cp312-cp312-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

pypolydim-2.0.15-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (11.0 MB view details)

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

pypolydim-2.0.15-cp311-cp311-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pypolydim-2.0.15-cp311-cp311-macosx_10_9_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

File details

Details for the file pypolydim-2.0.15-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7efe481e8cb72933c778bab2d2f352ecfab1d7b354f41742f0edd2073a37e3f3
MD5 c5e28024c7a7169a414b3d19b794149c
BLAKE2b-256 972c1fbf3ba805142a189a0434e8d0140d89d4c080a93aeca751e01e45a62cfa

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d0344d4f57490b33dee0a45058fd5c493263e2b8e5cba29d849681fb6ba36e74
MD5 ba8da82a95f5b45fa4b8079bfde97dc8
BLAKE2b-256 05d58f5f89b05507e9e1e851a918bc4997e9a0d73d6665d95469c6337151fca1

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp314-cp314-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp314-cp314-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7196f05e53f08d63db11a3202b610b9ab46aa028404684a1169710c45dd64191
MD5 c5beabd03c7bc0d974f8d62840658931
BLAKE2b-256 9dfa006c0cca458d3cf64bb265cbf17d6bf1894894504ae77ecc18be0640846f

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 402b9e0f2aa139eda14c449068c03de9915915d0ebfd2d9f34a05871d0d69405
MD5 caf663ae2ad80aba4c00406c8d704f8a
BLAKE2b-256 c28f39278fcc848ecf3c6d622b01d4834257d550c6dd5361ddfa379fb3e6bd75

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 792ff1174f95f3f12a620ff59e69019c0e7a53e817d72a90c6cd0a95eb302790
MD5 a6902b46538ff2ed2259aa96eea0b0a5
BLAKE2b-256 bf8cd2a5b084a5191cba9b09919e5954147253f4c4b6c0caa2bd3726f19ce17e

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e00891a32f131d561102459d3812f65aca0a70e00323f7931855a2c90521cc2c
MD5 68a3d88bdacdc2b61f9fffe02ff05145
BLAKE2b-256 b638224616ec435ba948498ecb644005c64821ba0a146d6f33d2f789321624de

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 aea2bf286e736796be4349fde91945bc8c97f58ed7797308fa512b19ab76f28f
MD5 22ce91e7557a2e16d970e2ca9fdd60dc
BLAKE2b-256 277830ec47856540ce02b07b9ad0983418bdc01ed6ce35e16f63d279d567b6f8

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b75cff9463e89205fec23d8e2a9bba1f30269f4439808cf5a9f1b9247c40c177
MD5 7dceabc0f9ad1a86ae19d69e7812c5f6
BLAKE2b-256 7a4906c3a85a9d99967fc5085d3b19753a2a290382a2fb8951d9ce0327d4d838

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 83e51818deb92f3ce1989909fcf05ccd380ba5de23b3158419b85541d538dd4a
MD5 aacedfa27df2526c9130c73c1c2cd0d7
BLAKE2b-256 8631cf7e6d97e23f727d7860af3df09a869fada42bce1dcea517273df74b5446

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 55ac6a3854393c078af7be724edcc832e7a6f8b3e63a04b3d46dca3abc9e4c40
MD5 87609eec0f141371924f5bd6dc1691b7
BLAKE2b-256 96fec94e007dcedd196da1658ebbd7dfded4c5006bea6c845c54fe6ccefbf3be

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dcda20a9042d6d856cf407bff2279c0ba1e99431e62ea8d9e1cf317450a58401
MD5 59cfd866c2383f065c3235037e1eea80
BLAKE2b-256 f94fe2b6c36f283b4f26b69c1a91d8fa1953d2d43ad4c81974b5c2b0d56b8dc0

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.15-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.15-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fd98c107efa7ca1ed066b1fbcfa2f9a137b95de1ddf5eb1f2a76d42bd95be264
MD5 bab5ccc14211747c2598bfc35140d840
BLAKE2b-256 e6e775b5c4319b963b873729a1a30ee10b9187d8cf9cefbbce36a9ddec0f11f4

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