Skip to main content

Unified Form Language

Project description

The Unified Form Language (UFL) is a domain specific language for declaration of finite element discretizations of variational forms. More precisely, it defines a flexible interface for choosing finite element spaces and defining expressions for weak forms in a notation close to mathematical notation.

UFL is part of the FEniCS Project. For more information, visit https://www.fenicsproject.org

https://github.com/FEniCS/ufl/workflows/UFL%20CI/badge.svg Coverage Status Documentation Status

Documentation

Documentation can be viewed at https://fenics-ufl.readthedocs.org/.

License

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this program. If not, see <https://www.gnu.org/licenses/>.

Project details


Download files

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

Source Distribution

fenics-ufl-2022.1.0.post0.tar.gz (319.0 kB view details)

Uploaded Source

Built Distribution

fenics_ufl-2022.1.0.post0-py3-none-any.whl (258.2 kB view details)

Uploaded Python 3

File details

Details for the file fenics-ufl-2022.1.0.post0.tar.gz.

File metadata

  • Download URL: fenics-ufl-2022.1.0.post0.tar.gz
  • Upload date:
  • Size: 319.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for fenics-ufl-2022.1.0.post0.tar.gz
Algorithm Hash digest
SHA256 8bf5e2d30d48ab250664c6d6d539e52635c3fd708c8139c557868d6167d54de7
MD5 028fdff582a879e782e5dcc96c7e2d99
BLAKE2b-256 631edcf6c558f02014661ed4ef6ce86706eda874491b749a0e4015daf84a6360

See more details on using hashes here.

File details

Details for the file fenics_ufl-2022.1.0.post0-py3-none-any.whl.

File metadata

File hashes

Hashes for fenics_ufl-2022.1.0.post0-py3-none-any.whl
Algorithm Hash digest
SHA256 337e3d6f6efbdd39d4d7eacd0b5d9e29f418f3138b1024ec7c7682ffcfc52b6f
MD5 623b79261b442d4ae051d5122c482ac3
BLAKE2b-256 d04cf97d735582cedf4e7794f11ec4fa7c4a495d26999da975fb14afb07f6de6

See more details on using hashes here.

Supported by

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