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

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dc.contributor.author Alqhtani, Manal
dc.contributor.author Owolabi, Kolade M.
dc.contributor.author Saad, Khaled M.
dc.contributor.author Pindza, Edson
dc.date.accessioned 2023-11-27T07:30:22Z
dc.date.available 2023-11-27T07:30:22Z
dc.date.issued 2022-08
dc.description DATA AVAILABILITY : No data was used for the research described in the article. en_US
dc.description.abstract In 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.department Mathematics and Applied Mathematics en_US
dc.description.librarian hj2023 en_US
dc.description.sdg None en_US
dc.description.sponsorship The Deanship of Scientific Research at Najran University. en_US
dc.description.uri http://www.elsevier.com/locate/chaos en_US
dc.identifier.citation Alqhtani, 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.issn 0960-0779
dc.identifier.other 10.1016/j.chaos.2022.112394
dc.identifier.uri http://hdl.handle.net/2263/93454
dc.language.iso en en_US
dc.publisher Elsevier en_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.subject Riesz operator en_US
dc.subject Subdiffusion process en_US
dc.subject Superdiffusion process en_US
dc.title Efficient numerical techniques for computing the Riesz fractional-order reaction-diffusion models arising in biology en_US
dc.type Postprint Article en_US


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