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• W2265998000 abstract "In this paper, we present a novel hybrid method to simulate discrete stochastic reaction-diffusion models arising in biochemical signaling pathways. We study moderately stiff systems, for which we can partition each reaction or diffusion channel into either a slow or fast subset, based on its propensity. Numerical approaches missing this distinction are often limited with respect to computational run time or approximation quality. We design an approximate scheme that remedies these pitfalls by using a new blending strategy of the well-established inhomogeneous stochastic simulation algorithm and the tau-leaping simulation method. The advantages of our hybrid simulation algorithm are demonstrated on three benchmarking systems, with special focus on approximation accuracy and efficiency." @default.
• W2265998000 created "2016-06-24" @default.
• W2265998000 creator A5035238589 @default.
• W2265998000 creator A5087482165 @default.
• W2265998000 date "2015-12-18" @default.
• W2265998000 modified "2023-10-18" @default.
• W2265998000 title "Hybrid stochastic simulation of reaction-diffusion systems with slow and fast dynamics" @default.
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• W2265998000 doi "https://doi.org/10.1063/1.4937491" @default.
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• W2265998000 hasPublicationYear "2015" @default.
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