Computes trajectories for evolutionary dynamics.
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.