DocumentCode :
3627796
Title :
Stochastic simulation of coupled chemical reactions using recursive methods
Author :
Vibha Mane;Monica F. Bugallo;Petar M. Djuric
Author_Institution :
Department of Electrical and Computer Engineering Stony Brook University, NY 11794, USA
fYear :
2008
Firstpage :
653
Lastpage :
656
Abstract :
In this paper, we present a new method for stochastic simulation of coupled chemical reactions. In this method we obtain recursive expressions for propagating the first two moments of the probability distributions over time. Its advantage over other simulation methods is that it does not require Monte Carlo simulations, and hence it performs several orders of magnitude faster than existing Monte Carlo methods. Simulation results are presented for some examples of coupled first-order reactions.
Keywords :
"Stochastic processes","Computational modeling","Biological system modeling","Stochastic systems","Probability distribution","Laplace equations","Computer simulation","Chemical engineering","Proteins","Chemical analysis"
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
2379-190X
Type :
conf
DOI :
10.1109/ICASSP.2008.4517694
Filename :
4517694
Link To Document :
بازگشت