Kurapy
Python package for simulation of Kuramoto model in a fully-filled square lacttice.
Installation
Use the package manager pip to install Kurapy:
pip install kurapy
Usage
Construct a lattice and obtain the coupling matrix:
import kurapy as kp
size = 15
lattice = kp.Lattice(size)
lattice.set_distances('cartesian')
coupling_matrix = kp.coupling.cosine(lattice)
Define the model and run the simulation:
natural_frequencies = np.zeroes(N)
model = kp.Model(natural_frequencies, coupling_matrix)
t = np.arange(200) # time
phi0 = 2 * np.pi * np.random.rand(N) # initial condition
phis = model.evolve(t, phi0)
Visualize with an animated plot:
phimat = kp.analyze.shape_matrix(phis)
kp.visualize.lattice_anim(t, phimat)
Refer to examples for more details:
- basic.py
- curvature.py
- gradient.py
Built With
License
This project is licensed under the MIT License - see the LICENSE.md file for details.
