Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

DUNE-VEM

[[TOC]]

DUNE-VEM is a Distributed and Unified Numerics Environment module which provides implementation of a range of virtual element spaces. It is based on the interfaces defined in DUNE-FEM. In addition to the C++ implementation and extensive Python interface is provided.

If you need help, please ask on our mailinglist. Bugs can also be submitted to the DUNE-VEM bugtracker instead.

Paper

A detailed description of the VEM implementation is given in our paper A framework for implementing general virtual element spaces. Please cite this paper, if you find this module useful for your research.

The scripts to reproduce the numerical examples provided in the paper are provided in the dune-vem-paper repository. These were based on the 2.9.0 version of DUNE. Versions of these scripts updated to match the current versions together with some new ones are included in this repository and are part of the Python package uploaded to PyPi. To obtain the current versions of these scripts after installation of the DUNE-VEM Python package you can run

python -m dune.vem

which places the scripts into the folder vem_tutorial.

Tutorial

The more general DUNE-FEM tutorial includes a number of further examples showcasing the DUNE-VEM module and provides an overview of DUNE.

General installation instructions

Using pip

DUNE-VEM can be installed using the Package Index of Python (pip).

pip install dune-vem

See https://dune-project.org/doc/installation-pip/ for a more detailed description.

From source

For a full explanation of the DUNE installation process please read the installation notes.

When using the main branch observe the build status to make sure you get a working version.

Dependencies

DUNE-VEM requires a recent C++ compiler (e.g. g++ or clang), cmake, pkg-config (see DUNE installation for details) and depends on the following DUNE modules:

The following DUNE modules are suggested:

The following software is optional:

License

The DUNE-VEM library, headers and test programs are free open-source software, licensed under version 2 or later of the GNU General Public License.

See the file LICENSE for full copying permissions.

References

A detailed description of DUNE-VEM and the uderlying DUNE-FEM module can be found in

git-53b1ae2f5ebabcdd253d63f055e90fd56a820cce

Metadata

Release files for dune-vem 2.11.dev20250326

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dune-vem 2.11.dev20250326
File Size Uploaded
dune_vem-2.11.dev20250326.tar.gz 1.5 MB Details

Release files / dune_vem-2.11.dev20250326.tar.gz

Download URL dune_vem-2.11.dev20250326.tar.gz
Size 1.5 MB
Tags Source
SHA-256 checksum
How to use checksums
e1490f940bbff5cc4ae2aad3a521e774eb59bcadcedc9697b1ae7f531c9cc654
BLAKE2b-256 checksum
How to use checksums
58823bc795b164bcf4e49146c54bc4298d4d5c46e661c317349e0610d7cb26a9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 26, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

2.10.0

1 release file

2.9.0

1 release file

2.8.0.7

1 release file

2.8.0.6

1 release file

2.8.0.4

1 release file

2.8.0.2

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page