吉林大学学报(理学版)

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时滞生化反应系统中的DFAPS-Leaping算法

周文, 柴甜, 李远见   

  1. 安徽师范大学 数学与计算机科学学院, 安徽 芜湖 241003
  • 收稿日期:2013-04-24 出版日期:2014-03-26 发布日期:2014-03-20
  • 通讯作者: 周文 E-mail:zhouw83@163.com

DFAPSLeaping Algorithm for the BiochemicalReaction Systems with Delays

ZHOU Wen, CHAI Tian, LI Yuanjian   

  1. College of Mathematics and Computer Science, Anhui Normal University, Wuhu 241003, Anhui Province, China
  • Received:2013-04-24 Online:2014-03-26 Published:2014-03-20
  • Contact: ZHOU Wen E-mail:zhouw83@163.com

摘要:

提出一种模拟时滞生化反应系统的加速随机模拟算法--最后所有可能步进的加速算法(DFAPS-leaping). 该算法能在不失算法精度的前提下减少模型的运行次数, 有效提高算法的运行速率. 数值模拟结果表明, DFAPSleaping算法能广泛应用到多种生化反应系统中, 与已有算法相比其效率显著提高.

关键词: 时滞生化反应系统, 随机模拟算法, FAPS算法

Abstract:

Here was presented an accelerated stochastic simulation algorithm for simulating biochemical reaction system with delays. It’s called
the DFAPSleaping algorithm. The DFAPSleaping algorithm minimizes the running time on the premise of preserving the accuracy, so it can improve the efficiency of the algorithm. Numerical experiments show our proposed algorithm can be widely applied to a variety of biochemical reaction systems and be more efficient than the existing algorithms.

Key words: biochemical reaction system with delays; , stochastic simulation algorithm, FAPS algorithm

中图分类号: 

  • O242.1