import conedy as co

N = co.network()

co.set ("samplingTime" , 1.0);

for i in range (0,100):
	N.addNode(co.logisticMap())

N.randomizeStates(co.logisticMap(), co.constant (0.4))
N.observeSum("output/observeSum.py.sum")

N.evolve(0.0,100.0)

Exemple #2
0
import conedy as co


N = co.network()


N.randomNetwork(100, 0.1, co.roessler())


N.randomizeStates(co.roessler(), co.uniform (0.0,1.0), co.uniform (0.2,0.4), co.constant(0.8))

N.observeAll("output/randomizeStates.py.allStates",co.component(0))
N.observeAll("output/randomizeStates.py.allStates",co.component(1))
N.observeAll("output/randomizeStates.py.allStates",co.component(2))
N.snapshot()



Exemple #3
0
import conedy as co

random = co.constant(0.5)

import conedy as co


random = co.constant (0.5)

import conedy as co

N = co.network()

co.set("samplingTime", 1.0)

for i in range(0, 100):
    N.addNode(co.logisticMap())

N.randomizeStates(co.logisticMap(), co.constant(0.4))
N.observeSum("output/observeSum.py.sum")

N.evolve(0.0, 100.0)