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-2.0.10-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (11.0 MB view details)

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

pypolydim-2.0.10-cp313-cp313-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

pypolydim-2.0.10-cp313-cp313-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

pypolydim-2.0.10-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (11.0 MB view details)

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

pypolydim-2.0.10-cp312-cp312-macosx_11_0_arm64.whl (4.3 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pypolydim-2.0.10-cp312-cp312-macosx_10_13_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

pypolydim-2.0.10-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (10.9 MB view details)

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

pypolydim-2.0.10-cp311-cp311-macosx_11_0_arm64.whl (4.2 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pypolydim-2.0.10-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-2.0.10-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 170e53d6f1fe61a17a46f91132c0e444d3c76121b91c530f1b9cc23e84cd7e87
MD5 b02e492a5fe0eac0c1a075fde3c906c1
BLAKE2b-256 2a02d9f18f711d7754f79a120f2d839a53232037039610f9546298a73823eebe

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e0239773b520133b8c4cefecf24b58851cf5ddd9e4dc2c984bfcb6b3b158f160
MD5 11de6a57e8bd7a1a0545d33685044f3c
BLAKE2b-256 ca6d590454266e498c75c88304667cc766d022ed2f61cecb0f141a79fc2688bb

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 93114af72b0df359f0d16cbe6bf0b0c02982402dc05ae911564124ad38644a76
MD5 9871862e51041866079b8636b0251a6a
BLAKE2b-256 512ff8c4b7d03f345e3d510ec6418bb77adc0958330a2f683949a92c3dc7dfd0

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ed60626d5b485a6d6938977bb54e15274d51ea0be0f01fdc98d328b3c8923dce
MD5 178bbdb8afd839791ba402077eaed31a
BLAKE2b-256 b2381687971d5bb8e5b79beadb60995a006a83fd15aca11eed8d5a14c2c893e5

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 059094ba572c15e826fc76f72e553faa0b51649beb21efbd218d3cf3dcc83aa9
MD5 dde652de7b7f2085013fb861672bf3ba
BLAKE2b-256 c18d5c1b44c2243073555ea63c89a6f894f29ea639f5a7e491ae0ce84ed57deb

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7b6eef7150fb500515ef61f2c6721878ab66f57be190e752b85fc14c2d4f368c
MD5 f72aa4fab796e329ff3ab504f272585c
BLAKE2b-256 e832e039bd0f28ecd36bdfad4733f5136469f13beab1a7e485bcbdf885807ba5

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 69859bbb1a6d50901c240e5816737d859d1723f0941d878814f2c6fd66b46415
MD5 d68c48e5678d0aab1c5d020fd4f3dc1a
BLAKE2b-256 1edd9b367d36defb2ec76128dd7c93cd367ac705b0a08f839d3fbe9fe182e8ac

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0712c85eaa5c92a1c32007023b5a6c0c86d4aac573103a09a701df3fe75f23e3
MD5 4867d4e249be4f6cd181469608de0ccc
BLAKE2b-256 86831965e50fbbe24ac9a0c76be710912f7eaf10ff6b29e6cb7fe4b20df6c0e8

See more details on using hashes here.

File details

Details for the file pypolydim-2.0.10-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pypolydim-2.0.10-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 dd347bba4fee266ac7591b288768dd0fe945c8db0f0a31efc540ea54be22a33e
MD5 89689f292efa479d727d991e09f6fb53
BLAKE2b-256 c659f98b709dee7e88e11de93c429710110daeff6c59e65ccb8d2a85b9171622

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