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Slow-scale tau-leaping method
Computer Methods in Applied Mechanics and Engineering ( IF 6.9 ) Pub Date : 2008-08-01 , DOI: 10.1016/j.cma.2008.02.024
Yang Cao 1 , Linda Petzold
Affiliation  

For chemical systems involving both fast and slow scales, stiffness presents challenges for efficient stochastic simulation. Two different avenues have been explored to solve this problem. One is the slow-scale stochastic simulation (ssSSA) based on the stochastic partial equilibrium assumption. The other is the tau-leaping method. In this paper we propose a new algorithm, the slow-scale tau-leaping method, which combines some of the best features of these two methods. Numerical experiments are presented which illustrate the effectiveness of this approach.

中文翻译:

慢尺度 tau 跳跃法

对于涉及快速和慢速尺度的化学系统,刚度对高效的随机模拟提出了挑战。已经探索了两种不同的途径来解决这个问题。一种是基于随机部分均衡假设的慢速随机模拟 (ssSSA)。另一种是tau-leaping方法。在本文中,我们提出了一种新算法,即慢速 tau 跳跃方法,它结合了这两种方法的一些最佳特征。数值实验说明了这种方法的有效性。
更新日期:2008-08-01
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