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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.accessioned2025-10-29T09:26:22Z
dc.date.available2025-10-29T09:26:22Z
dc.date.issued2025
dc.identifier.citationJournal of Scientific Computing, 2025, vol. 105, n. 2.es
dc.identifier.issn0885-7474es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/79122
dc.descriptionProducción Científicaes
dc.description.abstractWe introduce a numerical method which is developed to approach the solution to a nonlinear age-structured population model with a finite life-span. The new scheme employs given numerical approximations to the intrinsic survival probability to set a full discretization of the problem, in which the numerical approach to the age-specific density of the population is separated from the difficulties arising due to the singular mortality rate. Its convergence is completely established without an explicit dependence on the asymptotic behaviour of the natural mortality rate near the maximum age. We include a numerical experimentation that confirms numerically the second-order convergence of the approximations provided by the corresponding theorems.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSpringer Naturees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectProblema no lineales
dc.subjectPoblación estructurada por edadeses
dc.subjectEsperanza de vida finitaes
dc.subjectProbabilidad de supervivenciaes
dc.subjectMétodos numéricoses
dc.subjectMétodo de característicases
dc.subjectAnálisis de convergenciaes
dc.titleNumerical Approximation of a Nonlinear Age-Structured Population Model with Finite Life-Spanes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2025 The Author(s)es
dc.identifier.doi10.1007/s10915-025-03025-6es
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10915-025-03025-6es
dc.identifier.publicationissue1es
dc.identifier.publicationtitleJournal of Scientific Computinges
dc.identifier.publicationvolume105es
dc.peerreviewedSIes
dc.description.projectMinisterio de Ciencia e Innovación (MICIN) / Agencia Española de Investigación (AEI): PID2020-113554GB-I00 y RED2022-134784-T (MCIN/AEI/10.13039/501100011033)es
dc.description.projectOpen access funding provided by FEDER European Funds and the Junta de Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027.es
dc.identifier.essn1573-7691es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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