  The reverse Monte Carlo (RMC) method is widely used in structural modelling
and analysis of experimental data. More recently, RMC has been applied to the
calculation of equilibrium thermodynamic properties and dynamic problems. These
studies point to the importance of properly converging RMC calculations and
understanding the relaxation behavior in RMC. From our detailed RMC
calculations, we show that the relaxation comprises of both fast and slow
aspects. A metric is introduced to assess whether fast equilibration is
achieved, i.e., detailed balance condition is satisfied. The metric,
essentially an equilibrium constant for RMC, is used as a test for
quasi-equilibration. The slow evolution is analogous to glassy materials, i.e.,
it is characterized empirically in terms of the Kohlrausch-Williams-Watts (KWW)
function, i.e., stretched exponentials. This feature can be exploited to
estimate the convergence error or to extrapolate statistical quantities from
short RMC calculations.
