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-2.0.14-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-2.0.14-cp314-cp314-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

pypolydim-2.0.14-cp314-cp314-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.14macOS 10.13+ x86-64

pypolydim-2.0.14-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-2.0.14-cp313-cp313-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

pypolydim-2.0.14-cp313-cp313-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

pypolydim-2.0.14-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-2.0.14-cp312-cp312-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pypolydim-2.0.14-cp312-cp312-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

pypolydim-2.0.14-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-2.0.14-cp311-cp311-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pypolydim-2.0.14-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-2.0.14-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 242b54fbbcbe12ea2c9eeab054d15e651fdc7d6fcfefa0c0498a21e4dc727518
MD5 4a5789f9b4dffe6d1d1e855565f603b9
BLAKE2b-256 ef8c7e1c4f820d60ac058fe34616cdbac96dcd2d44e68d320e5e68ae0527ffe4

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a387a7f0ecd21008ef5f0058470c41205069951480a3f31b951212bf4a34919f
MD5 aacf140fddf89a7182c9517d08d8b34d
BLAKE2b-256 8c50e097a5efb70619fcf5003be1ecbab896288c797c46d711afc66c8e885719

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp314-cp314-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp314-cp314-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a67e769035baff242ca2306c09b43b8ed0438ac741b974ed182b7688c79ba161
MD5 d8cd431e8146823be20deb1ef317abf2
BLAKE2b-256 8676d1f8d7b305ad66332e3c0b612cf4cd85d49d5ebcef6e351ffe4b353ae63e

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d185007e79cbab504a8d9c4a5eabae88cc75d1383cfb3032bc71e0d8460f1ec6
MD5 e0d7288f0f5fa767a6493fa48e89b991
BLAKE2b-256 49d2a22bdc556f1dca3081666a3b0985a767be844b1739d5fab81fb0d3b9ebc7

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 292bb22d11ec4d14b4f6309bb8a490d0411b3b36883d793a9f2002e7775669c7
MD5 e2b340587449f1413a719e7f3d819e1a
BLAKE2b-256 a0dba0103b7e13fbc9521a93bae97adcfaff63e9dfa938c2f1063c8418acf28e

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7a1fd4adf21ef9cbe6dd7e703c4c15ea87632d663e56a730b2125406e5b28e61
MD5 5255f32bb99c242f94f815ad05eb2199
BLAKE2b-256 20d7a34fc55dd5c539a3ac31f0ee6dce5303b41f1dc86eb02f959d07493f9a94

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b7f1b4ac255a10a0c12b808f4b021bd7fc71140a7b1b501c0e67009a07df9435
MD5 607747785bace4fc0833451a10ee1522
BLAKE2b-256 c94b0d3df57bd9687911dd18d608fc519b59b76cf4c86161c0a65f4fcf190447

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0cbca3f56eb39ca0739b2544657d1414a48ac2451fdfb518b604736c2227c482
MD5 4ee3e5ab0599b7dbf62f2eee7befd014
BLAKE2b-256 a6b17df158a7a1b4bbe09de1475564fb7d4bc600233d78ae9fba772ee1dc1bcc

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 beaeae07f66a83f2ff124eedb736da7d5331f82e4fc9bec3ee29b8ed464f0e80
MD5 0b50fb67ca8a5f4f54bbf260fcc4d62b
BLAKE2b-256 69e09ea88584b1c4d680c0f2e187b5bc32e182aa8b1f99c59a55ccb19fa8fb74

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 57126433c77fb764e573fbc802987c1a9ffaaff19cf027a559b3a7c9c911424e
MD5 2c33eeda7f64291125f437e2f18ce574
BLAKE2b-256 b218013b3f56c1be9ead84810e4767f5d8e7b3a53c781c636e58812e3dd90941

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a0ddbbf7f0131cf186ad7e371c7e4a574f30fec6f5d2fc99856322deb55a7bbe
MD5 ed798379be483c2db1f9bf60bd5a58a2
BLAKE2b-256 e71e3cd94b947ccf678db1029cb1f78ec90db9fa9f6d6ae40bf8566fbf102bd7

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.14-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.14-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8608808ea1741fff32c889e1019a6229443d02de128a84722d36ecb0b91252d4
MD5 afb8f0d22a39dc3e2bfec4ba9d573574
BLAKE2b-256 e2255d6a3b578238249b9d442b46d41bcbe09de2ce5928d2b005edf618981c44

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