Simulation of large deviation functions using population dynamics

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dc.creatorTailleur, J.
dc.creatorLecomte, V.
dc.date2008-11-06
dc.date.accessioned2026-07-07T12:44:50Z
dc.date.available2026-07-07T12:44:50Z
dc.descriptionIn these notes we present a pedagogical account of the population dynamics methods recently introduced to simulate large deviation functions of dynamical observables in and out of equilibrium. After a brief introduction on large deviation functions and their simulations, we review the method of Giardinà \emph{et al.} for discrete time processes and that of Lecomte \emph{et al.} for the continuous time counterpart. Last we explain how these methods can be modified to handle static observables and extract information about intermediate times.
dc.descriptionProceedings of the 10th Granada Seminar on Computational and Statistical Physics
dc.identifierhttps://arxiv.org/abs/0811.1041
dc.identifierhttp://arxiv.org/abs/0811.1041
dc.identifierAIP Conf. Proc, Vol 1091, pp. 212-219 (2009) MODELING AND SIMULATION OF NEW MATERIALS: Proceedings of Modeling and Simulation of New Materials: Tenth Granada Lectures
dc.identifierdoi:10.1063/1.3082284
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/220911
dc.subjectStatistical Mechanics
dc.subjectOther Condensed Matter
dc.titleSimulation of large deviation functions using population dynamics
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