The Experts below are selected from a list of 6225 Experts worldwide ranked by ideXlab platform
Hilmi Ergören - One of the best experts on this subject based on the ideXlab platform.
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alternative Variational Iteration Method for solving the time fractional fornberg whitham equation
Applied Mathematical Modelling, 2015Co-Authors: Mehmet Giyas Sakar, Hilmi ErgörenAbstract:Abstract In this study, we apply an alternative Variational Iteration Method to solve the time-fractional Fornberg–Whitham equation. A comparison between the results obtained using the alternative Variational Iteration Method and known results obtained with the Variational Iteration Method demonstrates that the proposed Method is highly effective and convenient. The fractional derivatives are described in the Caputo sense. Numerical results are presented for different specific cases of the problem.
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Alternative Variational Iteration Method for solving the time-fractional Fornberg–Whitham equation
Applied Mathematical Modelling, 2015Co-Authors: Mehmet Giyas Sakar, Hilmi ErgörenAbstract:Abstract In this study, we apply an alternative Variational Iteration Method to solve the time-fractional Fornberg–Whitham equation. A comparison between the results obtained using the alternative Variational Iteration Method and known results obtained with the Variational Iteration Method demonstrates that the proposed Method is highly effective and convenient. The fractional derivatives are described in the Caputo sense. Numerical results are presented for different specific cases of the problem.
Mehmet Giyas Sakar - One of the best experts on this subject based on the ideXlab platform.
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alternative Variational Iteration Method for solving the time fractional fornberg whitham equation
Applied Mathematical Modelling, 2015Co-Authors: Mehmet Giyas Sakar, Hilmi ErgörenAbstract:Abstract In this study, we apply an alternative Variational Iteration Method to solve the time-fractional Fornberg–Whitham equation. A comparison between the results obtained using the alternative Variational Iteration Method and known results obtained with the Variational Iteration Method demonstrates that the proposed Method is highly effective and convenient. The fractional derivatives are described in the Caputo sense. Numerical results are presented for different specific cases of the problem.
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Alternative Variational Iteration Method for solving the time-fractional Fornberg–Whitham equation
Applied Mathematical Modelling, 2015Co-Authors: Mehmet Giyas Sakar, Hilmi ErgörenAbstract:Abstract In this study, we apply an alternative Variational Iteration Method to solve the time-fractional Fornberg–Whitham equation. A comparison between the results obtained using the alternative Variational Iteration Method and known results obtained with the Variational Iteration Method demonstrates that the proposed Method is highly effective and convenient. The fractional derivatives are described in the Caputo sense. Numerical results are presented for different specific cases of the problem.
Dumitru Baleanu - One of the best experts on this subject based on the ideXlab platform.
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a modified Variational Iteration Method for solving fractional riccati differential equation by adomian polynomials
Fractional Calculus and Applied Analysis, 2013Co-Authors: Hossein Jafari, Dumitru Baleanu, Hale TajadodiAbstract:In this paper, we introduce a modified Variational Iteration Method (MVIM) for solving Riccati differential equations. Also the fractional Riccati differential equation is solved by Variational Iteration Method with considering Adomians polynomials for nonlinear terms. The main advantage of the MVIM is that it can enlarge the convergence region of iterative approximate solutions. Hence, the solutions obtained using the MVIM give good approximations for a larger interval. The numerical results show that the Method is simple and effective.
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the Variational Iteration Method for solving n th order fuzzy differential equations
Central European Journal of Physics, 2012Co-Authors: Hossein Jafari, M Saeidy, Dumitru BaleanuAbstract:The Variational Iteration Method (VIM) proposed by Ji-Huan He is a new analytical Method for solving linear and nonlinear equations. In this paper, the Variational Iteration Method has been applied in solving nth-order fuzzy linear differential equations with fuzzy initial conditions. This Method is illustrated by solving several examples.
H. Daniali - One of the best experts on this subject based on the ideXlab platform.
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Application of the Variational Iteration Method to the Whitham-Broer-Kaup equations
Computers & Mathematics With Applications, 2007Co-Authors: M. Rafei, H. DanialiAbstract:Explicit traveling wave solutions including blow-up and periodic solutions of the Whitham-Broer-Kaup equations are obtained by the Variational Iteration Method. Moreover, the results are compared with those obtained by the Adomian decomposition Method, revealing that the Variational Iteration Method is superior to the Adomian decomposition Method.
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Application of the Variational Iteration Method to the Whitham–Broer–Kaup equations
Computers & Mathematics with Applications, 2007Co-Authors: M. Rafei, H. DanialiAbstract:AbstractExplicit traveling wave solutions including blow-up and periodic solutions of the Whitham–Broer–Kaup equations are obtained by the Variational Iteration Method. Moreover, the results are compared with those obtained by the Adomian decomposition Method, revealing that the Variational Iteration Method is superior to the Adomian decomposition Method
Jafar Biazar - One of the best experts on this subject based on the ideXlab platform.
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Variational Iteration Method for solving fokker planck equation
Journal of The Franklin Institute-engineering and Applied Mathematics, 2010Co-Authors: Jafar Biazar, P. Gholamin, Kamyar HosseiniAbstract:In this paper Variational Iteration Method is implemented to solve linear and nonlinear Fokker–Planck equations, and some similar equations. To illustrate the simplicity and reliability of the Method some examples are provided and comparisons are made between the Variational Iteration Method and the Adomian decomposition Method. Comparison shows that Variational Iteration Method is more effective and convenient to use and overcomes the difficulty arising in calculating Adomian polynomials. Also, this Method can successfully be applied to a large class of problems.
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Variational Iteration Method for solving Fokker–Planck equation
Journal of the Franklin Institute, 2010Co-Authors: Jafar Biazar, P. Gholamin, Kamyar HosseiniAbstract:In this paper Variational Iteration Method is implemented to solve linear and nonlinear Fokker–Planck equations, and some similar equations. To illustrate the simplicity and reliability of the Method some examples are provided and comparisons are made between the Variational Iteration Method and the Adomian decomposition Method. Comparison shows that Variational Iteration Method is more effective and convenient to use and overcomes the difficulty arising in calculating Adomian polynomials. Also, this Method can successfully be applied to a large class of problems.
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he s Variational Iteration Method for fourth order parabolic equations
Computers & Mathematics With Applications, 2007Co-Authors: Jafar Biazar, H GhazviniAbstract:He's Variational Iteration Method is applied to fourth-order parabolic partial differential equations with variable coefficients. To illustrate the ability and reliability of the Method, some examples are given, revealing its effectiveness and simplicity.