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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.accessioned2026-01-28T18:35:03Z
dc.date.available2026-01-28T18:35:03Z
dc.date.issued2025
dc.identifier.citationMathematics and Computers in Simulation, 2025, vol. 229, p. 636–651es
dc.identifier.issn0378-4754es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/82302
dc.description.abstractConsidering the numerical approximation of the density distribution for an age-structured population model with unbounded lifespan on a compact interval [0, 𝑇���� ], we prove second order of convergence for a discretization that adaptively selects its truncated age-interval according to the exponential rate of decay with age of the solution of the model. It appears that the adaptive capacity of the length in the truncated age-interval of the discretization to the infinity lifespan is a very convenient approach for a long-time integration of the model to establish the asymptotic behavior of its dynamics numerically. The analysis of convergence uses an appropriate weighted maximum norm with exponential weights to cope with the unbounded age lifespan. We report experiments to exhibit numerically the theoretical results and the asymptotic behavior of the dynamics for an age-structured squirrel population model introduced by Sulsky.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.classificationAge-structured populationes
dc.subject.classificationUnbounded life-spanes
dc.subject.classificationConvergence analysises
dc.subject.classificationNumerical methodses
dc.subject.classificationSquirrel modeles
dc.titleA convergence analysis for the approximation to the solution of an age-structured population model with infinite lifespanes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.matcom.2024.10.007es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0378475424003987?via%3Dihubes
dc.identifier.publicationfirstpage636es
dc.identifier.publicationlastpage651es
dc.identifier.publicationtitleMathematics and Computers in Simulationes
dc.identifier.publicationvolume229es
dc.peerreviewedSIes
dc.description.projectEste trabajo forma parte del proyecto de investigación PID2020-113554GB-I00/AEI/10.13039/501100011033, RED2022-134784-T by MCIN/AEI/10.13039/501100011033 y VA193P20 de la Junta de Castilla y Leónes
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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