CORC  > 北京大学  > 数学科学学院
Highly accurate tau-leaping methods with random corrections
Hu, Yucheng ; Li, Tiejun
2009
关键词Gaussian processes numerical analysis random processes reaction kinetics theory stochastic processes CHEMICALLY REACTING SYSTEMS ACCELERATED STOCHASTIC SIMULATION GENE-EXPRESSION SCHEMES
英文摘要We aim to construct higher order tau-leaping methods for numerically simulating stochastic chemical kinetic systems in this paper. By adding a random correction to the primitive tau-leaping scheme in each time step, we greatly improve the accuracy of the tau-leaping approximations. This gain in accuracy actually comes from the reduction in the local truncation error of the scheme in the order of tau, the marching time step size. While the local truncation error of the primitive tau-leaping method is O(tau(2)) for all moments, our Poisson random correction tau-leaping method, in which the correction term is a Poisson random variable, can reduce the local truncation error for the mean to O(tau(3)), and both Gaussian random correction tau-leaping methods, in which the correction term is a Gaussian random variable, can reduce the local truncation error for both the mean and covariance to O(tau(3)). Numerical results demonstrate that these novel methods more accurately capture crucial properties such as the mean and variance than existing methods for simulating chemical reaction systems. This work constitutes a first step to construct high order numerical methods for simulating jump processes. With further refinement and appropriately modified step-size selection procedures, the random correction methods should provide a viable way of simulating chemical reaction systems accurately and efficiently.; Physics, Atomic, Molecular & Chemical; SCI(E); EI; PubMed; 0; ARTICLE; 12; 124109; 130
语种英语
出处EI ; PubMed ; SCI
出版者journal of chemical physics
内容类型其他
源URL[http://hdl.handle.net/20.500.11897/345176]  
专题数学科学学院
推荐引用方式
GB/T 7714
Hu, Yucheng,Li, Tiejun. Highly accurate tau-leaping methods with random corrections. 2009-01-01.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace