2021
DOI: 10.1016/j.padiff.2021.100045
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New approximate-analytical solutions to partial differential equations via auxiliary function method

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Cited by 23 publications
(10 citation statements)
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“…investigation are new and have been listed for the first time. The authors' suggestion for future works is employing newly well-organized methods [38][39][40][41][42][43][44] to acquire other wave structures of STOBE.…”
Section: Declaration Of Competing Interestmentioning
confidence: 99%
“…investigation are new and have been listed for the first time. The authors' suggestion for future works is employing newly well-organized methods [38][39][40][41][42][43][44] to acquire other wave structures of STOBE.…”
Section: Declaration Of Competing Interestmentioning
confidence: 99%
“…It is well known that the construction of the exact solutions of fractional partial differential equations (FPDEs) is an important problem. Consequently, many scholars have introduced numerous methods to seek the solutions, such as the Lie symmetry analysis method [7][8][9], Adomian decomposition method [10], homotopy analysis transform method [11], Laplace transform collocation method [12], functional separation variables method [13], residual power series method [14], sub-equation method [15], homotopy perturbation method [16,17], invariant subspace method [18], auxiliary function method [19,20] and the classical Mittag-Leffler kernel [21].…”
Section: Introductionmentioning
confidence: 99%
“…Computing the exact or approximate solutions of fractional differential equations (FDEs) is very important in all the mentioned fields, but due to the complex nature of FDEs, the exact solution is not possible in most of the cases. As a result, it is essential to compute approximate solutions through analytical or numerical methods like the fractional natural decomposition method [35], Fourier spectral method [36], Lie symmetry analysis [37], auxiliary function method [38], consistent Riccati expansion method [39], and homotopy perturbation method [40]. For better accuracy while dealing with nonlinear problems, various modifications of HPM are also employed on different equations.…”
Section: Introductionmentioning
confidence: 99%