2018
DOI: 10.1177/1461348418811028
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Homotopy perturbation method with an auxiliary parameter for nonlinear oscillators

Abstract: A brief introduction to the development of the homotopy perturbation method is given, and the main milestones are elucidated with more than 90 references. This paper further improves the method by constructing a homotopy equation with one or more auxiliary parameters embedding in the linear term with a clear advantage in accelerating and controlling the approximation convergence speed. Moreover, a revision of a recent amplitude-period approximation formula is presented providing an answer to an open problem re… Show more

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Cited by 123 publications
(96 citation statements)
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“…Theorem 6. Suppose X, U, U 0 , and V are as in Theorem (5), let pair (g, T) be an ordered Suzuki-type α-θ g -modified proximal contractive mappings, where g : U → U and T : U → CB(V) with all assumptions of Theorem (5). Then unique coincidence best proximity point of mappings (g, T) exist.…”
Section: Results In Partially Ordered B-metric Spacementioning
confidence: 99%
See 2 more Smart Citations
“…Theorem 6. Suppose X, U, U 0 , and V are as in Theorem (5), let pair (g, T) be an ordered Suzuki-type α-θ g -modified proximal contractive mappings, where g : U → U and T : U → CB(V) with all assumptions of Theorem (5). Then unique coincidence best proximity point of mappings (g, T) exist.…”
Section: Results In Partially Ordered B-metric Spacementioning
confidence: 99%
“…Proof. Following the same lines of proof of Theorem (5), and taking in account for self-mapping such that (u 0 , Tu 0 ) ∈ ∆, we have α(u 0 , Tu 0 ) = 1, then every ordered Suzuki-type α-ψ-modified contraction becomes ordered Suzuki-type ψ-modified contraction and the remaining conditions of Theorem (5) holds. Then, T has a unique fixed point.…”
Section: Definition 16mentioning
confidence: 90%
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“…First, we use the modified variational iteration algorithm-I; then, we will use the modified algorithm-II for the solution of this test problem. Utilizing the estimation of λ 1 (ζ) and λ 2 (ζ) in Equations (15) and (16) results in the underneath iterative structure:…”
Section: Test Problemmentioning
confidence: 99%
“…This is known as variational iteration algorithm-I [12][13][14], which is an advance improvement of the common Lagrange multiplier method [11]. These days, this technique [15][16][17][18][19][20][21][22][23] has been set up for offering a solution for a more extensive scope of problems, developing in several fields of pure and applied sciences. PDEs extensively arise in various physical applications such as propagation and the scattering of waves, magnetohydrodynamic flow through pipes, computational fluid dynamics, magnetic resonance imaging, the phenomena of turbulence and supersonic flow, the flow of a shock wave traveling in a viscous fluid, acoustic transmission, traffic and aerofoil flow theory, and the proposed technique has the ability to investigate these types problems effectively.…”
Section: Introductionmentioning
confidence: 99%