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机构地区:[1]Department of Mathematics,Shanghai University,Shanghai 200444,P.R.China
出 处:《Applied Mathematics and Mechanics(English Edition)》2007年第10期1361-1371,共11页应用数学和力学(英文版)
基 金:Project supported by the National Natural Science Foundation of China (No.30571059);the National High-Tech Research and Development Program of China(No.2006AA02Z190).
摘 要:Presented here is an L-leap method for accelerating stochastic simulation of well-stirred chemically reacting systems, in which the number of reactions occurring in a reaction channel with the largest propensity function is calculated from the leap condition and the number of reactions occurring in the other reaction channels are generated by using binomial random variables during a leap. The L-leap method can better satisfy the leap condition. Numerical simulation results indicate that the L-leap method can obtain better performance than established methods.Presented here is an L-leap method for accelerating stochastic simulation of well-stirred chemically reacting systems, in which the number of reactions occurring in a reaction channel with the largest propensity function is calculated from the leap condition and the number of reactions occurring in the other reaction channels are generated by using binomial random variables during a leap. The L-leap method can better satisfy the leap condition. Numerical simulation results indicate that the L-leap method can obtain better performance than established methods.
关 键 词:L-leap algorithm leap condition stochastic simulation algorithm chemically reacting systems
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