Studying stability, steady-state solutions, and transient behavior in stochastic turning
models presents significant numerical challenges. One of the popular methods is statistically
evaluating numerous trajectories.
However, we propose a faster, more precise direct integration approach focusing on
the mean square of the process to assess variation around the average solution.
