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Numerical simulations for stochastic meme epidemic model

dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorRafiq, Muhammad
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorArif, Muhammad Shoaib
dc.contributor.authorID56389tr_TR
dc.date.accessioned2021-01-28T12:20:38Z
dc.date.available2021-01-28T12:20:38Z
dc.date.issued2020
dc.departmentÇankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe 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.en_US
dc.description.publishedMonth4
dc.identifier.citationRaza, Ali...et al. (2020). "Numerical simulations for stochastic meme epidemic model", Advances in Difference Equations, Vol. 2020, No. 1.en_US
dc.identifier.doi10.1186/s13662-020-02593-1
dc.identifier.issn1687-1847
dc.identifier.issue1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12416/4486
dc.identifier.volume2020en_US
dc.language.isoenen_US
dc.relation.ispartofAdvances in Difference Equationsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMeme Modelen_US
dc.subjectStochastic Approachesen_US
dc.subjectConvergence Analysisen_US
dc.titleNumerical simulations for stochastic meme epidemic modeltr_TR
dc.titleNumerical Simulations for Stochastic Meme Epidemic Modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf4fffe56-21da-4879-94f9-c55e12e4ff62
relation.isAuthorOfPublication.latestForDiscoveryf4fffe56-21da-4879-94f9-c55e12e4ff62

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