Esempio n. 1
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 def setUp(self):
     DDE_orig = jitcdde_lyap(f, n_lyap=len(lyap_controls))
     filename = DDE_orig.save_compiled(overwrite=True)
     self.DDE = jitcdde_lyap(n=6,
                             module_location=filename,
                             delays=[delay],
                             n_lyap=len(lyap_controls))
     self.DDE.add_past_point(-delay, np.random.random(6),
                             np.random.random(6))
     self.DDE.add_past_point(0.0, np.random.random(6), np.random.random(6))
     self.DDE.set_integration_parameters(**test_parameters)
Esempio n. 2
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	def setUp(self):
		DDE_orig = jitcdde_lyap(f, n_lyap=len(lyap_controls))
		filename = DDE_orig.save_compiled(overwrite=True)
		print(filename)
		self.DDE = jitcdde_lyap(
			n=6,
			module_location=filename,
			delays=[delay],
			n_lyap=len(lyap_controls)
			)
		self.DDE.add_past_point(-delay, np.random.random(6), np.random.random(6))
		self.DDE.add_past_point(0.0,    np.random.random(6), np.random.random(6))
		self.DDE.set_integration_parameters(**test_parameters)
Esempio n. 3
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 def setUp(self):
     self.DDE = jitcdde_lyap(f, n_lyap=len(lyap_controls))
     self.DDE.add_past_point(-delay, np.random.random(6),
                             np.random.random(6))
     self.DDE.add_past_point(0.0, np.random.random(6), np.random.random(6))
     self.DDE.set_integration_parameters(**test_parameters)
     self.DDE.compile_C(omp=True, chunk_size=15)
Esempio n. 4
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Note that `integrate` does not only return local Lyapunov exponents but also the length of the time interval to which they apply (which differs from the time spanned by the `integrate` command and may even be zero). This length should be used to weigh the local Lyapunov exponents for statistical processing, like in line 31.
"""

if __name__ == "__main__":
	from jitcdde import jitcdde_lyap, y, t
	import numpy
	from scipy.stats import sem
	
	τ = 15
	n = 10
	β = 0.25
	γ = 0.1
	
	f = [ β * y(0,t-τ) / (1 + y(0,t-τ)**n) - γ*y(0) ]
	n_lyap = 4
	DDE = jitcdde_lyap(f, n_lyap=n_lyap)
	
	DDE.constant_past([1.0])
	
	DDE.step_on_discontinuities(max_step=1.0)
	
	data = []
	lyaps = []
	weights = []
	for time in numpy.arange(DDE.t, DDE.t+10000, 10):
		state, lyap, weight = DDE.integrate(time)
		data.append(state)
		lyaps.append(lyap)
		weights.append(weight)
	
	numpy.savetxt("timeseries.dat", data)
Esempio n. 5
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	def setUp(self):
		self.DDE = jitcdde_lyap(f, n_lyap=len(lyap_controls))
		self.DDE.add_past_point(-delay, np.random.random(6), np.random.random(6))
		self.DDE.add_past_point(0.0, np.random.random(6), np.random.random(6))
		self.DDE.set_integration_parameters(**test_parameters)
		self.DDE.compile_C(omp=True,chunk_size=15)