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)
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()
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)