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	Boosted Hybrid Method for Solving Chemical Reaction Systems with Multiple Scales in Time and Population Size
	Hu, Yucheng ; Abdulle, Assyr ; Li, Tiejun
	2012
关键词	Chemical reaction multiscale boosting hybrid method STOCHASTIC SIMULATION ALGORITHM MONTE-CARLO ALGORITHM BIOCHEMICAL NETWORKS ROCK METHODS SOFTWARE KINETICS BEHAVIOR CELL
英文摘要	A new algorithm, called boosted hybrid method, is proposed for the simulation of chemical reaction systems with scale-separation in time and disparity in species population. For such stiff systems, the algorithm can automatically identify scale-separation in time and slow down the fast reactions while maintaining a good approximation to the original effective dynamics. This technique is called boosting. As disparity in species population may still exist in the boosted system, we propose a hybrid strategy based on coarse-graining methods, such as the tau-leaping method, to accelerate the reactions among large population species. The combination of the boosting strategy and the hybrid method allow for an efficient and adaptive simulation of complex chemical reactions. The new method does not need a priori knowledge of the system and can also be used for systems with hierarchical multiple time scales. Numerical experiments illustrate the versatility and efficiency of the method.; Physics, Mathematical; SCI(E); 0; ARTICLE; 4; 981-1005; 12
语种	英语
出处	SCI
出版者	communications in computational physics
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/314382]
专题	数学科学学院
推荐引用方式 GB/T 7714	Hu, Yucheng,Abdulle, Assyr,Li, Tiejun. Boosted Hybrid Method for Solving Chemical Reaction Systems with Multiple Scales in Time and Population Size. 2012-01-01.

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