Exploring the performance of spatial stochastic simulation algorithms

Since the publication of Gillespie’s direct method, diverse methods have been developed to improve the performance of stochastic simulation methods and to enter the spatial realm. In this paper we discuss a spatial τ-leaping variant (S τ) that extends the basic leap method. S τ takes reaction and bo...

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Bibliographic Details
Published in:	Journal of computational physics Vol. 230; no. 7; pp. 2562 - 2574
Main Authors:	Jeschke, Matthias, Ewald, Roland, Uhrmacher, Adelinde M.
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Inc 01.04.2011 Elsevier
Subjects:	ALGORITHMS Benchmarking BENCHMARKS COMPARATIVE EVALUATIONS Computation Computational techniques Computer simulation COMPUTERIZED SIMULATION Design engineering Diffusion EVALUATION Exact sciences and technology Gillespie multi-particle method MATHEMATICAL LOGIC MATHEMATICAL METHODS AND COMPUTING Mathematical methods in physics Mathematical models Next sub-volume method Performance analysis Performance evaluation Physics SIMULATION Spatial τ-leaping SSA STOCHASTIC PROCESSES Stochastic simulation Stochasticity τ-Leaping SSA Performance evaluation τ-Leaping Next sub-volume method Stochastic simulation Gillespie multi-particle method Performance analysis Spatial τ-leaping Spatial analysis Stochastic method Calculation methods Algorithms Models Calculation Diffusion Performance
ISSN:	0021-9991, 1090-2716
Online Access:	Get full text
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