The stability check of the inverse models uses the relative fluctuation to determine whether the time evolution is stable. However, if the value of the tested time_evolution is close to zero, the relative fluctuation increases drastically due to the numerical precision of the float.
This can cause the stability check to fail even though its "stable".
The stability check of the inverse models uses the relative fluctuation to determine whether the time evolution is stable. However, if the value of the tested time_evolution is close to zero, the relative fluctuation increases drastically due to the numerical precision of the float. This can cause the stability check to fail even though its "stable".