pyed is a python package to compute trajectories of evolutionary dynamics on Riemannian geometries and with momentum. For example, the library can be used to generate phase portraits of discrete replicator equations with various parameters, and generalizations.
The tests and examples.py file contain several examples. There is also a jupyter notebook that produces several example trajectories:
This repository uses pytest. You can run the tests from the command line with
pytest
in the root level directory of the repository.
This repository was originally named metric-incentive-dynamics and located at https://github.com/marcharper/metric-incentive-dynamics containing code to compute plots for a publication. See the archived readme for more information. The code was extended to support momentum and made into an installable python package in the current repository.