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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-39867

Rossinelli, D; Bayati, B; Koumoutsakos, P (2008). Accelerated stochastic and hybrid methods for spatial simulations of reaction-diffusion systems. Chemical Physics Letters, 451(1-3):136 - 140.



Spatial distributions characterize the evolution of reaction-diffusion models of several physical, chemical, and biological systems. We present two novel algorithms for the efficient simulation of these models: Spatial т-Leaping (Sт -Leaping), employing a unified acceleration of the stochastic simulation of reaction and diffusion, and Hybrid т-Leaping (Hт-Leaping), combining a deterministic diffusion approximation with a т-Leaping acceleration of the stochastic reactions. The algorithms are validated by solving Fisher’s equation and used to explore the role of the number of particles in pattern formation. The results indicate that the present algorithms have a nearly constant time complexity with respect to the number of events (reaction and diffusion), unlike the exact stochastic simulation algorithm which scales linearly.

Item Type:Journal Article, refereed, original work
Communities & Collections:Special Collections > SystemsX.ch
Special Collections > SystemsX.ch > Research, Technology and Development Projects > WingX
DDC:570 Life sciences; biology
Deposited On:08 Dec 2010 13:57
Last Modified:04 Jul 2013 11:10
Publisher DOI:DOI: 10.1016/j.cplett.2007.11.055
Official URL:http://www.sciencedirect.com/science/article/B6TFN-4R6JP0V-2/2/759c4e47669d2f18db307eb0e8ebd51e
Citations:Google Scholar™
Scopus®. Citation Count: 21

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