2.4.2.2. sdepy.integrator.dZ¶
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integrator.dZ(t, dt)[source]¶ Value of the SDE differentials at time t, for time increment dt.
Example of expected code for the SDE
dx = (1 - x)*dt + 2*dw(t), wherexhas two components:shape = (2, self.paths) return { 'dt': dt, 'dw': wiener_source(vshape=2, paths=self.paths)(0, dt) }
The
SDEclass takes care of instantiating user-specified stochasticity sources and casting them into this format.