A practical guide to stochastic simulations of reaction-diffusion processes

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dc.creatorErban, Radek
dc.creatorChapman, Jonathan
dc.creatorMaini, Philip
dc.date2007-04-15
dc.date2007-11-19
dc.date.accessioned2026-07-07T08:43:15Z
dc.date.available2026-07-07T08:43:15Z
dc.descriptionA practical introduction to stochastic modelling of reaction-diffusion processes is presented. No prior knowledge of stochastic simulations is assumed. The methods are explained using illustrative examples. The article starts with the classical Gillespie algorithm for the stochastic modelling of chemical reactions. Then stochastic algorithms for modelling molecular diffusion are given. Finally, basic stochastic reaction-diffusion methods are presented. The connections between stochastic simulations and deterministic models are explained and basic mathematical tools (e.g. chemical master equation) are presented. The article concludes with an overview of more advanced methods and problems.
dc.description35 pages
dc.identifierhttps://arxiv.org/abs/0704.1908
dc.identifierhttp://arxiv.org/abs/0704.1908
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/142249
dc.subjectSubcellular Processes
dc.subjectPhysics Education
dc.subjectQuantitative Methods
dc.titleA practical guide to stochastic simulations of reaction-diffusion processes
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