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Chaos in a Cancer Model via Fractional Derivatives with Exponential Decay and Mittag-Leffler Law

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dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorGuadalupe Lopez-Lopez, Maria
dc.contributor.authorManuel Alvarado-Martinez, Victor
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorKhan, Hasib
dc.contributor.authorID56389tr_TR
dc.date.accessioned2019-12-05T13:44:56Z
dc.date.available2019-12-05T13:44:56Z
dc.date.issued2017
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik - Bilgisayar Bölümüen_US
dc.description.abstractIn this paper, a three-dimensional cancer model was considered using the Caputo-Fabrizio-Caputo and the new fractional derivative with Mittag-Leffler kernel in Liouville-Caputo sense. Special solutions using an iterative scheme via Laplace transform, Sumudu-Picard integration method and Adams-Moulton rule were obtained. We studied the uniqueness and existence of the solutions. Novel chaotic attractors with total order less than three are obtained.en_US
dc.description.publishedMonth12
dc.identifier.citationFrancisco Gomez-Aguilar, Jose...et al. (2017). Chaos in a Cancer Model via Fractional Derivatives with Exponential Decay and Mittag-Leffler Law, ENTROPY, 19(12).en_US
dc.identifier.doi1.79769313486232E+308
dc.identifier.issn1099-4300
dc.identifier.issue12en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12416/2139
dc.identifier.volume19en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofEntropyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCancer Modelen_US
dc.subjectCaputo-Fabrizio Fractional Derivativeen_US
dc.subjectAtangana-Baleanu Fractional Derivativeen_US
dc.subjectSumudu-Picard İterative Methoden_US
dc.titleChaos in a Cancer Model via Fractional Derivatives with Exponential Decay and Mittag-Leffler Lawtr_TR
dc.titleChaos in a Cancer Model Via Fractional Derivatives With Exponential Decay and Mittag-Leffler Lawen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf4fffe56-21da-4879-94f9-c55e12e4ff62
relation.isAuthorOfPublication.latestForDiscoveryf4fffe56-21da-4879-94f9-c55e12e4ff62

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