cbcbeat 2023.2.0

An adjoint-enabled framework for computational cardiac electrophysiology

cbcbeat: an adjoint-enabled framework for computational cardiac electrophysiology

cbcbeat is a collection of Python-based solvers for cardiac electrophysiology models. cbcbeat offers basic and optimized solvers for the bidomain and monodomain equations coupled with cardiac cell models. cbcbeat is based on the FEniCS Project and dolfin-adjoint.

For more information visit https://computationalphysiology.github.io/cbcbeat/

Installation:

See separate file ./INSTALL for how to install the cbcbeat module and a list of dependencies.

Documentation:

The cbcbeat documention is availble on readthedocs, see:

https://computationalphysiology.github.io/cbcbeat/

For manually updating the API and demo documentation, run:

cd doc make html

assuming that cbcbeat and the optional dependency Sphinx (sphinx-doc.org) is installed.

Automated Testing:

cbcbeat uses GitHub Actions for automated and continuous testing:

https://github.com/ComputationalPhysiology/cbcbeat/actions

License:

cbcbeat 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.

cbcbeat 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 <http://www.gnu.org/licenses/>.