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
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