کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
522549 867834 2007 27 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reversible-equivalent-monomolecular tau: A leaping method for “small number and stiff” stochastic chemical systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Reversible-equivalent-monomolecular tau: A leaping method for “small number and stiff” stochastic chemical systems
چکیده انگلیسی

Leaping methods provide for efficient and approximate time stepping of chemical reaction systems modeled by continuous time discrete state stochastic dynamics. We investigate the application of leaping methods for “small number and stiff” systems, i.e. systems whose dynamics involve different time scales and have some molecular species present in very small numbers, specifically in the range 0 to 10. We propose a new explicit leaping scheme, reversible-equivalent-monomolecular tau (REMM-τ), which shows considerable promise in the simulation of such systems. The REMM-τ scheme is based on the fact that the exact solution of the two prototypical monomolecular reversible reactions S1 ↔ S2 and S ↔ 0 as a function of time takes a simple form involving binomial and/or Poisson random variables. The REMM-τ method involves approximating bimolecular reversible reactions by suitable monomolecular reversible reactions as well as considering each reversible pair of reactions in the system to be operating in isolation during the time step τ. We illustrate the use of the REMM-τ method through a number of biologically motivated examples and compare its performance to those of the implicit-τ and trapezoidal implicit-τ algorithms. In most cases considered, REMM-τ appears to perform better than these two methods while having the important advantage of being computationally faster due to the explicit nature of the method. Furthermore when stepsize τ is increased the REMM-τ exhibits a more robust performance than the implicit-τ or the trapezoidal implicit-τ for small number stiff problems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Physics - Volume 224, Issue 2, 10 June 2007, Pages 897–923
نویسندگان
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