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Numerical simulations for stochastic meme epidemic model

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dc.contributor.author Raza, Ali
dc.contributor.author Rafiq, Muhammad
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Arif, Muhammad Shoaib
dc.date.accessioned 2021-01-28T12:20:38Z
dc.date.available 2021-01-28T12:20:38Z
dc.date.issued 2020-04-25
dc.identifier.citation Raza, Ali...et al. (2020). "Numerical simulations for stochastic meme epidemic model", Advances in Difference Equations, Vol. 2020, No. 1. tr_TR
dc.identifier.issn 1687-1847
dc.identifier.uri http://hdl.handle.net/20.500.12416/4486
dc.description.abstract The primary purpose of this study is to perform the comparison of deterministic and stochastic modeling. The effect of threshold number is also observed in this model. For numerical simulations, we have developed some stochastic explicit approaches, but they are dependent on time step size. The implicitly driven explicit approach has been developed for a stochastic meme model. The proposed approach is always independent of time step size. Also, we have presented theorems in support of convergence of the proposed approach for the stochastic meme model. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1186/s13662-020-02593-1 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Meme Model tr_TR
dc.subject Stochastic Approaches tr_TR
dc.subject Convergence Analysis tr_TR
dc.title Numerical simulations for stochastic meme epidemic model tr_TR
dc.type article tr_TR
dc.relation.journal Advances in Difference Equations tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 2020 tr_TR
dc.identifier.issue 1 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümü tr_TR


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