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Residual power series algorithm for fractional cancer tumor models

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dc.contributor.authorKorpinar, Zeliha
dc.contributor.authorInc, Mustafa
dc.contributor.authorHincal, Evren
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorID56389tr_TR
dc.date.accessioned2021-01-07T11:41:29Z
dc.date.available2021-01-07T11:41:29Z
dc.date.issued2020
dc.departmentÇankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractIn this paper, the new series solutions of some fractional cancer tumor models are investigated by using residual power series method (RPSM). The RPSM is explained with Maclaurin expansion for the solution. One of the advantages of this method is quick and easy calculation to find series solutions by using mathematica software package. Graphical presentations for series solutions are given to explanation of the method. The obtained outcomes explain that process is applicable and reliable method to obtain numerical solutions of fractional equations. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.en_US
dc.description.publishedMonth6
dc.identifier.citationKorpinar, Zeliha...at all (2020). "Residual power series algorithm for fractional cancer tumor models", Alexandria Engineering Journal, Vol. 59, No. 3, pp. 1405-1412.en_US
dc.identifier.doi10.1016/j.aej.2020.03.044
dc.identifier.endpage1412en_US
dc.identifier.issn1110-0168
dc.identifier.issn2090-2670
dc.identifier.issue3en_US
dc.identifier.startpage1405en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/4442
dc.identifier.volume59en_US
dc.language.isoenen_US
dc.relation.ispartofAlexandria Engineering Journalen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectResidual Power Series Methoden_US
dc.subjectSeries Solutionen_US
dc.subjectCaputo Fractional Derivativeen_US
dc.subjectFractional Cancer Tumor Modelsen_US
dc.titleResidual power series algorithm for fractional cancer tumor modelstr_TR
dc.titleResidual Power Series Algorithm for Fractional Cancer Tumor Modelsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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