A Generalization of a Bin-Based Modification to the Stochastic Simulation Algorithm

In a 1996 paper, See$β$elberg, Trautmann and Thorn modified Gillespie's (1975) Monte Carlo algorithm which is used to stochastically simulate the collision and coalescence process. Their modification reduces the storage requirements of the simulation by several orders of magnitude. However, their modification creates unphysical and potentially fatal conditions when used with common initial distributions. We identify those conditions and propose a solution to maintain physically real conditions for all state variables during the evolution of any initial distribution.

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