Improved leap-size selection for accelerated stochastic simulation

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Simulating the evolution of soot mixing state with a particle-resolved aerosol model (2008, methodology): “Gillespie [2001] developed the tau-leaping method for efficient generation of many events with near-constant rates, with extensions by Gillespie and Petzold [2003] , Rathinam et al. [2003], Cao et al. [2006] and others, including for multiscale systems with scale separation by Cao et al. [2005].”
Stochastic simulation of chemical kinetics. (2007, methodology): “The method originally suggested in Reference 26 for estimating the largest value of τ that satisfies the leap condition has undergone two successive refinements ( 31 , 32).”