2018
DOI: 10.1007/s11071-018-4568-4
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The generalized Kudryashov method for nonlinear space–time fractional partial differential equations of Burgers type

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Cited by 94 publications
(36 citation statements)
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“…In this section, the generalized Kudryashov method will be introduced in detail to obtain the exact solutions of FPDEs defined by Atangana's derivative [31][32][33].…”
Section: The Generalized Kudryashov Methodsmentioning
confidence: 99%
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“…In this section, the generalized Kudryashov method will be introduced in detail to obtain the exact solutions of FPDEs defined by Atangana's derivative [31][32][33].…”
Section: The Generalized Kudryashov Methodsmentioning
confidence: 99%
“…In this article, the effectiveness of the generalized Kudryashov method was investigated to determine the exact solutions of the FPDEs with Atangana's conformable derivatives. In some studies in the literature, this method has been applied to various nonlinear fractional problems [31][32][33].…”
Section: Introductionmentioning
confidence: 99%
“…Step.2: The series form solution, V (ξ ) of equation (8) is expressed in term of ( G G ) polynomial as [21]:…”
Section: The ( G G )-Expansion Methodsmentioning
confidence: 99%
“…Due to applications mentioned above, the researchers have taken keen interest in the study of FPDEs. In this connection, several mathematicians have developed different techniques for the numerical and analytical solutions of FPDEs [1]- [8]. For example, Xu et al have extended Homotopy perturbation method (HPM) to solve PDEs of fractal order [9], [10].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, several studies for the CBE with arbitrarily initial and boundary value problems have appeared in the literature. Gaber et al (2019) investigated the nonlinear spacetime fractional differential equations of Burgers' type with Kudryashov method for traveling wave solutions. The variable-order time fractional Burgers' equation was studied by Hassani and Naraghirad (2019) and they have obtained an numerical solution with optimization method.…”
Section: Introductionmentioning
confidence: 99%