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dc.contributor.authorGiacomin, Giambattista
hal.structure.identifierCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
dc.contributor.authorOlla, Stefano
HAL ID: 18345
ORCID: 0000-0003-0845-1861
hal.structure.identifierMathématiques Appliquées Paris 5 [MAP5 - UMR 8145]
dc.contributor.authorSaada, Ellen
hal.structure.identifierZentrum Mathematik [Munchen] [TUM]
dc.contributor.authorSpohn, Herbert
hal.structure.identifierCentre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique [CERMICS]
dc.contributor.authorStoltz, Gabriel
dc.date.accessioned2019-12-16T15:03:08Z
dc.date.available2019-12-16T15:03:08Z
dc.date.issued2019
dc.identifier.isbn978-3-030-15095-2en
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20327
dc.language.isoenen
dc.subjectProbability Theory and Stochastic Processesen
dc.subject.ddc520en
dc.titleStochastic Dynamics Out of Equilibriumen
dc.title.alternativeInstitut Henri Poincaré, Paris, France, 2017en
dc.typeOuvrage
dc.description.abstractenStemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments.It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown.The trimester, held at the Institut Henri Poincaré (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics.The present volume is indispensable reading for researchers and Ph.D. students working in such areas.en
dc.publisher.nameSpringeren
dc.publisher.cityBerlin Heidelbergen
dc.relation.ispartofseriestitleSpringer Proceedings in Mathematics & Statisticsen
dc.relation.isversionofbkurl10.1007/978-3-030-15096-9en
dc.subject.ddclabelSciences connexes (physique, astrophysique)en
dc.identifier.citationdate2019
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.date.updated2019-12-16T14:59:30Z
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