gaussianKuramoto

DGL of gaussianKuramoto

dxdt[0] = omega();

s[0] = sigmaNoise();

forEachEdge(

dxdt[0] = dxdt[0] + weight * sin ( 2 * M_PI * (state - x[0]));

)

Parameter of gaussianKuramoto

  • gaussianKuramoto_omega = 1.0000000000000000;
  • gaussianKuramoto_sigmaNoise = 0.0000000000000000;

Example (python-conedy)

import conedy as ns

net = ns.network()

net.addNode(ns.gaussianKuramoto())

Example (conedy)

network net;

net.addNode(gaussianKuramoto());

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