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Investigation on Ginzburg-Landau equation via a tested approach to benchmark stochastic Davis-Skodje system

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dc.contributor.author Nouri, Kazem
dc.contributor.author Ranjbar, Hassan
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Torkzadeh, Leila
dc.date.accessioned 2022-05-27T12:52:05Z
dc.date.available 2022-05-27T12:52:05Z
dc.date.issued 2021-12
dc.identifier.citation Nouri, Kazem...et al. (2021). "Investigation on Ginzburg-Landau equation via a tested approach to benchmark stochastic Davis-Skodje system", Alexandria Engineering Journal, Vol. 60, No. 6, pp. 5521-5526. tr_TR
dc.identifier.issn 1110-0168
dc.identifier.uri http://hdl.handle.net/20.500.12416/5599
dc.description.abstract We propose new numerical methods with adding a modified ordinary differential equation solver to the Milstein methods for solution of stiff stochastic systems. We study a general form of stochastic differential equations so that the Ginzburg-Landau equation and the Davis-Skodje model can be considered as special states of them. The efficiency of the method is experimented, in terms of the convergence rate and accuracy of approximate solution, employing some numerical examples, including stochastic Ginzburg-Landau equation and a paradigm of chemical reaction systems. © 2021 THE AUTHORS tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.aej.2021.04.040 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Chemical Reaction Systems tr_TR
dc.subject Convergence Rate tr_TR
dc.subject Milstein Method tr_TR
dc.subject Stochastic Differential Equations tr_TR
dc.title Investigation on Ginzburg-Landau equation via a tested approach to benchmark stochastic Davis-Skodje system tr_TR
dc.type article tr_TR
dc.relation.journal Alexandria Engineering Journal tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 60 tr_TR
dc.identifier.issue 6 tr_TR
dc.identifier.startpage 5521 tr_TR
dc.identifier.endpage 5526 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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