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New fractional signal smoothing equations with short memory and variable order

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dc.contributor.author Ma, Chang-You
dc.contributor.author Shiri, Babak
dc.contributor.author Wu, Guo-Cheng
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2022-07-07T11:45:36Z
dc.date.available 2022-07-07T11:45:36Z
dc.date.issued 2020-09
dc.identifier.citation Ma, Chang-You...et al. (2020). "New fractional signal smoothing equations with short memory and variable order", Optik, Vol. 218. tr_TR
dc.identifier.issn 0030-4026
dc.identifier.uri http://hdl.handle.net/20.500.12416/5719
dc.description.abstract In this paper, systems of fuzzy fractional differential equations with a lateral type of the Hukuhara derivative and the generalized Hukuhara derivative are numerically studied. Collocation method on discontinuous piecewise polynomial spaces is proposed. Convergence of the proposed method is analyzed. The superconvergent results on the graded mesh are studied. Examples are provided to support theoretical results. Finally, the effect of uncertainty in a diabetes model and its resulting complications is investigated as a practical application. © 2020 Elsevier GmbH tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.ijleo.2020.164507 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Diabetes and its Resulting Complications tr_TR
dc.subject Dynamical System tr_TR
dc.subject Fuzzy Fractional Differential Equations tr_TR
dc.subject Hukuhara Derivative tr_TR
dc.subject Spline Collocation Methods tr_TR
dc.subject Uncertainty tr_TR
dc.title New fractional signal smoothing equations with short memory and variable order tr_TR
dc.type article tr_TR
dc.relation.journal Optik tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 218 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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