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dc.contributor.authorAbia Llera, Luis María 
dc.contributor.authorAngulo Torga, Óscar 
dc.contributor.authorLópez Marcos, Juan Carlos 
dc.contributor.authorLópez Marcos, Miguel Ángel 
dc.date.accessioned2022-09-21T13:19:19Z
dc.date.available2022-09-21T13:19:19Z
dc.date.issued2022
dc.identifier.citationApplied Mathematics and Computation, 2022, vol. 434, 127401es
dc.identifier.issn0096-3003es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/55548
dc.descriptionProducción Científicaes
dc.description.abstractThe choice of age as a physiological parameter to structure a population and to describe its dynamics involves the election of the life-span. The analysis of an unbounded life-span age-structured population model is motivated because, not only new models continue to appear in this framework, but also it is required by the study of the asymptotic behaviour of its dynamics. The numerical integration of the corresponding model is usually performed in bounded domains through the truncation of the age life-span. Here, we propose a new numerical method that avoids the truncation of the unbounded age domain. It is completely analyzed and second order of convergence is established. We report some experiments to exhibit numerically the theoretical results and the behaviour of the problem in the simulation of the evolution of the Nicholson’s blowflies model.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationNumerical methodses
dc.subject.classificationMétodos numéricoses
dc.subject.classificationConvergence analysises
dc.subject.classificationAnálisis de convergenciaes
dc.subject.classificationPopulationes
dc.subject.classificationPoblaciónes
dc.titleNumerical integration of an age-structured population model with infinite life spanes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2022 The Authorses
dc.identifier.doi10.1016/j.amc.2022.127401es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0096300322004751?via%3Dihubes
dc.peerreviewedSIes
dc.description.projectMinisterio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (project MTM2017-85476-C2-1-P)es
dc.description.projectMinisterio de Ciencia, Innovación y Universidades - Agencia Estatal de Investigación (grants PID2020-113554GB-I00/AEI/10.13039/501100011033 and RED2018-102650-T)es
dc.description.projectJunta de Castilla y Leon - Fondo Europeo de Desarrollo Regional (grant VA193P20)es
dc.description.projectJunta de Castilla y León (grant VA138G18)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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