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.
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.
出处
《吉林大学学报(理学版)》
CAS
CSCD
北大核心
2014年第2期205-211,共7页
Journal of Jilin University:Science Edition
基金
国家自然科学基金(批准号:61202156
11302002)
安徽省高校科学研究项目(批准号:KJ2010B346)
安徽省高校优秀青年人才基金重点项目(批准号:2010SQRL0256ZD
2011SQRL022ZD)
关键词
时滞生化反应系统
随机模拟算法
FAPS算法
biochemical reaction system with delays
stochastic simulation algorithm
FAPS algorithm