2013
DOI: 10.1108/09615531311323818
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Homotopy analysis and homotopy Padé methods for (1+1) and (2+1)‐dimensional dispersive long wave equations

Abstract: PurposeThe purpose of this paper is to obtain analytic solutions of the (1+1) and (2+1)‐dimensional dispersive long wave equations by the homotopy analysis and the homotopy Padé methods.Design/methodology/approachThe obtained approximation by using homotopy method contains an auxiliary parameter which is a simple way to control and adjust the convergence region and rate of solution series.FindingsThe approximation solutions by [m,m] homotopy Padé technique is often independent of auxiliary parameter ℏ and this… Show more

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Cited by 6 publications
(5 citation statements)
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“…There exist some techniques to accelerate the convergence of a given series. Among them, the so‐called Padé method is widely applied .…”
Section: Introductionmentioning
confidence: 99%
“…There exist some techniques to accelerate the convergence of a given series. Among them, the so‐called Padé method is widely applied .…”
Section: Introductionmentioning
confidence: 99%
“…Hadamard, Riemann-Liouville, Coimbra, Grunwald-Letnikov, Riesz, Weyl, Liouville Caputo, Atangana-Baleanu, Caputo-Fabrizio and some others, provided essential definitions of fractional operators [1][2][3][4][5]. To analyse the nonlinear FPDE solutions, several sophisticated approaches for discovering precise solutions have been devised, such as the Hermite colocation method [6], the optimal homotopy asymptotic technique [7], the Adomian decomposition method [8], the homotopy perturbation transform method [9], the Pade approximation and homotopy-Pade technique [10], the invariant subspace method [11], the q-homotopy analysis transform method [12], the homotopy analysis Sumudu transform method [13] and the Sumudu transform series expansion method [14]. Without applying perturbation techniques, the homotopy analysis technique converts a problem into an infinite number of linear problems.…”
Section: Introductionmentioning
confidence: 99%
“…HAM is an Dynamical analysis of the avian-human influenza epidemic model elegant method, which has proved its effectiveness and efficiency in solving many types of nonlinear equations [9][10][11][12][13][14][15][16]. The other substantial characteristic of HAM which distinct it from previous analytical techniques is providing a helpful approach for altering and controlling of convergence in aspects of region and rate [17].…”
Section: Introductionmentioning
confidence: 99%