Efficient numerical techniques for computing the Riesz fractional-order reaction-diffusion models arising in biology

dc.contributor.authorAlqhtani, Manal
dc.contributor.authorOwolabi, Kolade M.
dc.contributor.authorSaad, Khaled M.
dc.contributor.authorPindza, Edson
dc.date.accessioned2023-11-27T07:30:22Z
dc.date.available2023-11-27T07:30:22Z
dc.date.issued2022-08
dc.descriptionDATA AVAILABILITY : No data was used for the research described in the article.en_US
dc.description.abstractIn this work, the solution of Riesz space fractional partial differential equations of parabolic type is considered. Since fractional-in-space operators have been applied to model anomalous diffusion or dispersion problems in the area of mathematical physics with success, we are motivated in this paper to model the standard Brownian motion with the fractional order operator in the sense of the Riesz derivative. We formulate two viable, efficient and reliable high-order approximation schemes for the Riesz derivative which incorporated both the left- and right-hand sides of the Riemann-Liouville derivatives. The proposed methods are analyzed for both stability and convergence. Finally, the methods are used to explore the dynamic richness of pattern formation in two important fractional reaction-diffusion equations that are still of recurring interest. Experimental results for different values of the fractional parameters are reported.en_US
dc.description.departmentMathematics and Applied Mathematicsen_US
dc.description.librarianhj2023en_US
dc.description.sdgNoneen_US
dc.description.sponsorshipThe Deanship of Scientific Research at Najran University.en_US
dc.description.urihttp://www.elsevier.com/locate/chaosen_US
dc.identifier.citationAlqhtani, M., Owolabi, K.M., Saad, K.M. & Pindza, E. 2022, 'Efficient numerical techniques for computing the Riesz fractional-order reaction-diffusion models arising in biology ', Chaos, Solitons and Fractals, vol. 161, art. 112394, pp. 1-15, doi : 10.1016/j.chaos.2022.112394.en_US
dc.identifier.issn0960-0779
dc.identifier.other10.1016/j.chaos.2022.112394
dc.identifier.urihttp://hdl.handle.net/2263/93454
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2022 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Chaos, Solitons and Fractals. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Chaos, Solitons and Fractals, vol. , no. , pp. , 2022. doi : [12-24 months embargo]en_US
dc.subjectRiesz operatoren_US
dc.subjectSubdiffusion processen_US
dc.subjectSuperdiffusion processen_US
dc.titleEfficient numerical techniques for computing the Riesz fractional-order reaction-diffusion models arising in biologyen_US
dc.typePostprint Articleen_US

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