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Efficient solutions of systems of fractional PDEs by the differential transform method

dc.contributor.authorSecer, Aydin
dc.contributor.authorAkinlar, Mehmet Ali
dc.contributor.authorCevikel, Adem
dc.date.accessioned2026-06-27T13:23:07Z
dc.date.issued2012
dc.description.abstractIn this paper we obtain approximate analytical solutions of systems of nonlinear fractional partial differential equations (FPDEs) by using the two-dimensional differential transform method (DTM). DTM is a numerical solution technique that is based on the Taylor series expansion which constructs an analytical solution in the form of a polynomial. The traditional higher order Taylor series method requires symbolic computation. However, DTM obtains a polynomial series solution by means of an iterative procedure. The fractional derivatives are described in the Caputo fractional derivative sense. The solutions are obtained in the form of rapidly convergent infinite series with easily computable terms. DTM is compared with some other numerical methods. Computational results reveal that DTM is a highly effective scheme for obtaining approximate analytical solutions of systems of linear and nonlinear FPDEs and offers significant advantages over other numerical methods in terms of its straightforward applicability, computational efficiency, and accuracy.en
dc.description.urihttps://doi.org/10.1186/1687-1847-2012-188
dc.identifier.doi10.1186/1687-1847-2012-188
dc.identifier.issn1687-1847
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52467
dc.identifier.wos000320393200001
dc.language.isoeng
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.relation.ispartofADVANCES IN DIFFERENCE EQUATIONS
dc.rightsopenAccess
dc.subjectfractional differential equation
dc.subjectCaputo fractional derivative
dc.subjectdifferential transform method
dc.subjectHOMOTOPY ANALYSIS METHOD
dc.subjectEQUATIONS
dc.subjectMathematics
dc.titleEfficient solutions of systems of fractional PDEs by the differential transform method
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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