Title of article
Hybrid method for the chemical master equation
Author/Authors
Martha Hellander، نويسنده , , Andreas and Lِtstedt، نويسنده , , Per، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2007
Pages
23
From page
100
To page
122
Abstract
The chemical master equation is solved by a hybrid method coupling a macroscopic, deterministic description with a mesoscopic, stochastic model. The molecular species are divided into one subset where the expected values of the number of molecules are computed and one subset with species with a stochastic variation in the number of molecules. The macroscopic equations resemble the reaction rate equations and the probability distribution for the stochastic variables satisfy a master equation. The probability distribution is obtained by the Stochastic Simulation Algorithm due to Gillespie. The equations are coupled via a summation over the mesoscale variables. This summation is approximated by Quasi-Monte Carlo methods. The error in the approximations is analyzed. The hybrid method is applied to three chemical systems from molecular cell biology.
Keywords
Stochastic simulation algorithm , Monte Carlo Method , Quasi-Monte Carlo method , Reaction rate equations , Stochastic chemical kinetics , master equation
Journal title
Journal of Computational Physics
Serial Year
2007
Journal title
Journal of Computational Physics
Record number
1480284
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