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An efficient computational approach for a fractional-order biological population model with carrying capacity

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dc.contributor.author Srivastava, H. M.
dc.contributor.author Dubey, V. P.
dc.contributor.author Kumar, R.
dc.contributor.author Singh, J.
dc.contributor.author Kumar, D.
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2022-03-11T13:52:57Z
dc.date.available 2022-03-11T13:52:57Z
dc.date.issued 2020-09
dc.identifier.citation Srivastava, H. M...et al. (2020). "An efficient computational approach for a fractional-order biological population model with carrying capacity", Chaos Solitons & Fractals, Vol. 138. tr_TR
dc.identifier.issn 0960-0779
dc.identifier.uri http://hdl.handle.net/20.500.12416/5116
dc.description.abstract In this article, we examine a fractional-order biological population model with carrying capacity. The blended homotopy techniques pertaining to the Sumudu transform are utilized to explore the solutions of a nonlinear fractional-order population model with carrying capacity. The fractional derivative of the Caputo type is utilized in the proposed investigation. The numerical computations indicate the sufficiency of the iterations for the improved estimations of the solutions of this fractional-order biological population model which exemplifies the potency and soundness of the utilized schemes. The analysis explored through the utilization of the projected methods reveals that both of the schemes are in a great agreement with each other. The variations of the prey and predator populations with respect to time and fractional order of the Caputo derivative are presented and graphically illustrated. (c) 2020 Elsevier Ltd. All rights reserved. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.chaos.2020.109880 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Fractional-Order Biological Population Model tr_TR
dc.subject Carrying Capacity tr_TR
dc.subject Caputo Fractional Derivative tr_TR
dc.subject Homotopy Methods tr_TR
dc.subject Sumudu Transform tr_TR
dc.title An efficient computational approach for a fractional-order biological population model with carrying capacity tr_TR
dc.type article tr_TR
dc.relation.journal Chaos Solitons & Fractals tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 138 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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