MitosisStochasticDiffEq
DiffEqNoiseProcess.pCN
— MethodpCN(Z, ρ) update noise values Z by pCN-step with parameter ρ. Taking ρ=1 just returns a NoiseGrid with the noise values Z
MitosisStochasticDiffEq.innov
— Methodinnov(t) t: either an array of Numbers or StepRangeLen{Number} returns Brownian values
MitosisStochasticDiffEq.tangent!
— Functiontangent!(du, u, dz, P)
!! May change du
, but has to return it. !!