MitosisStochasticDiffEq

pCN(Z, ρ) update noise values Z by pCN-step with parameter ρ. Taking ρ=1 just returns a NoiseGrid with the noise values Z

innov(t) t: either an array of Numbers or StepRangeLen{Number} returns Brownian values

tangent!(du, u, dz, P)

!! May change du, but has to return it. !!