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Numerical schemes for studying biomathematics model inherited with memory-time and delay-time

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dc.contributor.author Jaradat, Imad
dc.contributor.author Alquran, Marwan
dc.contributor.author Momani, Shaher
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2022-08-23T08:02:02Z
dc.date.available 2022-08-23T08:02:02Z
dc.date.issued 2020-10-27
dc.identifier.citation Jaradat, Imad...et al. (2020). "Numerical schemes for studying biomathematics model inherited with memory-time and delay-time", ALEXANDRIA ENGINEERING JOURNAL, Vol. 59, No.5, pp. 2969-2974. tr_TR
dc.identifier.issn 1110-0168
dc.identifier.uri http://hdl.handle.net/20.500.12416/5750
dc.description.abstract The effect of inherited memory-time and delay-time in the formulation of a mathematical population growth model is considered. Two different numerical schemes are introduced to study analytically the propagation of population growth. We provide a graphical analysis that shows the impact of both memory-time and delay-time acting on the behavior of population density. We concluded that both delay-time and time-fractional-derivative play the same role as delaying the propagation of the nonlinear population growth. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.aej.2020.03.038 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Caputo-time-fractional derivative; Delay time; Fractional power series; Homotopy perturbation method; Mathematical biological model. tr_TR
dc.title Numerical schemes for studying biomathematics model inherited with memory-time and delay-time tr_TR
dc.type article tr_TR
dc.relation.journal ALEXANDRIA ENGINEERING JOURNAL tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 59 tr_TR
dc.identifier.issue 5 tr_TR
dc.identifier.startpage 2969 tr_TR
dc.identifier.endpage 2974 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümü tr_TR


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