Numerical approximations for fractional diffusion equations via a Chebyshev spectral-tau method

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dc.contributor.author Doha, Eid H.
dc.contributor.author Bhrawy, Ali H.
dc.contributor.author Ezz-Eldien, Samer S.
dc.date.accessioned 2019-11-18T07:44:42Z
dc.date.available 2019-11-18T07:44:42Z
dc.date.issued 2013
dc.identifier.citation Cited References in Web of Science Core Collection: 45 en_US
dc.identifier.issn 1895-1082
dc.identifier.other https://doi.org/10.2478/s11534-013-0264-7
dc.identifier.uri https://link.springer.com/article/10.2478/s11534-013-0264-7
dc.description Accession Number: WOS:000328854500036 en_US
dc.description.abstract n this paper, a class of fractional diffusion equations with variable coefficients is considered. An accurate and efficient spectral tau technique for solving the fractional diffusion equations numerically is proposed. This method is based upon Chebyshev tau approximation together with Chebyshev operational matrix of Caputo fractional differentiation. Such approach has the advantage of reducing the problem to the solution of a system of algebraic equations, which may then be solved by any standard numerical technique. We apply this general method to solve four specific examples. In each of the examples considered, the numerical results show that the proposed method is of high accuracy and is efficient for solving the time-dependent fractional diffusion equations. en_US
dc.description.sponsorship SCIENDO en_US
dc.language.iso en en_US
dc.publisher SCIENDO en_US
dc.relation.ispartofseries CENTRAL EUROPEAN JOURNAL OF PHYSICS;Volume: 11 Issue: 10 Pages: 1494-1503
dc.relation.uri https://cutt.ly/neJYmNg
dc.subject University for fractional diffusion equations en_US
dc.subject spectral tau technique en_US
dc.subject operational matrix en_US
dc.subject shifted Chebyshev polynomials en_US
dc.subject shifted Chebyshev polynomials en_US
dc.subject INTEGRATION en_US
dc.title Numerical approximations for fractional diffusion equations via a Chebyshev spectral-tau method en_US
dc.type Article en_US
dc.identifier.doi https://doi.org/10.2478/s11534-013-0264-7
dc.Affiliation October University for modern sciences and Arts (MSA)


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