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Ahmet Yildirim
Researcher at Ege University
Publications - 293
Citations - 8000
Ahmet Yildirim is an academic researcher from Ege University. The author has contributed to research in topics: Homotopy analysis method & Nonlinear system. The author has an hindex of 48, co-authored 287 publications receiving 7324 citations. Previous affiliations of Ahmet Yildirim include Islamic Azad University & University of South Florida.
Papers
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New Exact Solutions for Schamel-Korteweg-de -Vries Equation
Zehra Pinar,Ahmet Yildirim,Syed Tauseef Mohyud-Din,Kemal Firat Oguz,Shamo Djabrailov,Anjan Biswas +5 more
TL;DR: In this article, the Exp-function method is extended to construct new exact solution for the Schamel-Korteweg-de Vries (S-KdV) equation which plays a pivitol role in mathematical physics and engineering sciences.
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Numerical solutions of wave equations subject to an integral conservation condition by he's homotopy perturbation method
TL;DR: In this paper, the homotopy perturbation method was used to solve one-dimensional wave equations that combine classical and integral boundary conditions using the homotonicity of the perturbations.
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An efficient technique for solving the blaszak–marciniak lattice by combining homotopy perturbation and padé techniques
TL;DR: In this article, the authors combined the homotopy perturbation method (HPM) and Pade techniques to solve the well-known Blaszak-Marciniak lattice.
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The homotopy perturbation method for solving the linear and the nonlinear Goursat problems
Ahmet Yildirim,Meryem Odabasi +1 more
TL;DR: In this article, the homotopy perturbation method (HPM) was applied to solve the Goursat problem and the linear and non-linear structures were handled in a similar manner without any need to restrictive assumptions.
Differential transformation method for solving a neutral functional-differential equation with proportional delays
TL;DR: In this article, differential transformation method (DTM) has been used to solve neutral functional-differential equations with proportional delays, which can be applied to many linear and nonlinear problems and is capable of reducing the size of computational work while still providing the series solution with fast convergence rate.