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Computational study of fractional order smoking model

dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorSingh, Jagdev
dc.contributor.authorDutta, Hemen
dc.contributor.authorID56389tr_TR
dc.date.accessioned2022-03-30T07:48:37Z
dc.date.available2022-03-30T07:48:37Z
dc.date.issued2021
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractSmoking is a very challenging problem the world is facing every day. It contributes to deaths and major health problems to millions of people every year around the world. A lot of work has been devoted to study how to minimize smoking in the society. Here we study non-integer order smoking model using an iterative scheme which is combination of discretization of domain and short memory principle. We will also discuss stability of the proposed model and used iterative scheme. CPU time is listed in tabular to show the efficiency and figures are used to show behaviour of solution in long time. The proposed technique has high accuracy and low computational cost. Using figures fractional time behaviour of solution is also plotted. (C) 2020 Published by Elsevier Ltd.en_US
dc.description.publishedMonth1
dc.identifier.citationSingh, Harendra...et al. (2021). "Computational study of fractional order smoking model", Chaos Solitons & Fractals, Vol. 142.en_US
dc.identifier.doi10.1016/j.chaos.2020.110440
dc.identifier.urihttps://hdl.handle.net/20.500.12416/5215
dc.identifier.volume142en_US
dc.language.isoenen_US
dc.relation.ispartofChaos Solitons & Fractalsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFractional Smoking Modelen_US
dc.subjectStability Analysisen_US
dc.subjectFractional Calculusen_US
dc.subjectNumerical Methoden_US
dc.titleComputational study of fractional order smoking modeltr_TR
dc.titleComputational Study of Fractional Order Smoking Modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf4fffe56-21da-4879-94f9-c55e12e4ff62
relation.isAuthorOfPublication.latestForDiscoveryf4fffe56-21da-4879-94f9-c55e12e4ff62

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