This utility creates source code to calculate the Jacobian matrix analytically for a chemical reaction mechanism.
The full documentation for pyJac can be found at http://slackha.github.io/pyJac/.
Theory, derivations, validation and performance testing can be found in the paper fully describing version 1.0.2 of pyJac: https://Niemeyer-Research-Group.github.io/pyJac-paper/
Detailed installation instructions can be found in the full documentation. However, pyJac can be installed as a Python module:
python setup.py install
or from PyPI using pip:
pip install pyjac
pyJac can be run as a python module:
python -m pyjac [options]
The generated source code is placed within the out (by default) directory,
which is created if it doesn't exist initially.
See the documentation or use python pyjac -h for the full list of options.
pyJac is released under the MIT license; see the LICENSE for details.
If you use this package as part of a scholarly publication, please see CITATION.md for the appropriate citation(s).
We welcome contributions to pyJac! Please see the guide to making contributions in the CONTRIBUTING.md file.
Created by Kyle Niemeyer (kyle.niemeyer@gmail.com) and Nicholas Curtis (nicholas.curtis@uconn.edu)