Refining the weighted stochastic simulation algorithm.
The weighted stochastic simulation algorithm (wSSA) recently introduced by Kuwahara and Mura [J. Chem. Phys. 129, 165101 (2008)] is an innovative variation on the stochastic simulation algorithm (SSA). It enables one to estimate, with much less computational effort than was previously thought possible using a Monte Carlo simulation procedure, the probability that a specified event will occur in a chemically reacting system within a specified time when that probability is very small. This paper presents some procedural extensions to the wSSA that enhance its effectiveness in practical applications. The paper also attempts to clarify some theoretical issues connected with the wSSA, including its connection to first passage time theory and its relation to the SSA.
Dan T Gillespie Consulting, 30504 Cordoba Pl., Castaic, California 91384, USA. gillespiedt@mailaps.org
Dan T
DT
Gillespie
Min
M
Roh
Linda R
LR
Petzold
D000465:Algorithms; D000704:Analysis of Variance; D003198:Computer Simulation; D013269:Stochastic Processes