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dc.creatorDi Patti, Francesca
dc.date.accessioned2021-01-21T18:08:49Z
dc.date.available2021-01-21T18:08:49Z
dc.date.created2010-11-10
dc.identifier.isbn978-8-884-53917-5
dc.identifier.issn2612-8020
dc.identifier.otherhttps://media.fupress.com/files/pdf/24/2078/4494
dc.identifier.urihttp://hdl.handle.net/20.500.12010/16845
dc.format.extent126 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherFirenze University Pressspa
dc.subjectIngeniería industrialspa
dc.titleFinite-Size Effects in Stochastic Models of Population Dynamics: Applications to Biomedicine and Biologyspa
dc.subject.lembModelos estocásticosspa
dc.subject.lembBiomedicina -- Biologíaspa
dc.subject.lembSistema de van Kampenspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doi10.36253/978-88-8453-917-5
dc.description.abstractenglishPopulation dynamics constitutes a widespread branch of investigations which finds important applications within the realm of life science. The classical deterministic (macroscopic) approach aims at characterizing the time evolution of families of homologous entities, so to unravel the global mechanisms which drive their dynamics. As opposed to this formulation, a microscopic level of modeling can be invoked which instead focuses on the explicit rules governing the interactions among individuals. A viable tool that enables to bridge the gap between the two approaches is the van Kampen's system size expansion. In this thesis we use this method to show how the finite-size effects accounted by the microscopic level might significantly alter the dynamics of biological phenomena.spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-nd/4.0/legalcode


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