WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653
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Article Citation - WoS: 27Citation - Scopus: 18The First Integral Method for Wu-Zhang Nonlinear System With Time-Dependent Coefficients(Editura Acad Romane, 2015) Baleanu, Dumitru; Baleanu, Dumitru; Kilic, Bulent; Inc, Mustafa; MatematikThe first integral method is used to construct traveling wave solutions of Wu-Zhang nonlinear dynamical system with time-dependent coefficients. We obtained different types of exact solutions by using two types of variable transformations. The method is an effective tool to construct the different types.of exact solutions of nonlinear partial differential equations having real world applications.Article Citation - WoS: 36Citation - Scopus: 35Traveling Wave Solutions and Conservation Laws for Nonlinear Evolution Equation(Amer inst Physics, 2018) Inc, Mustafa; Yusuf, Abdullahi; Aliyu, Aliyu Isa; Baleanu, DumitruIn this work, the Riccati-Bernoulli sub-ordinary differential equation and modified tanh-coth methods are used to reach soliton solutions of the nonlinear evolution equation. We acquire new types of traveling wave solutions for the governing equation. We show that the equation is nonlinear self-adjoint by obtaining suitable substitution. Therefore, we construct conservation laws for the equation using new conservation theorem. The obtained solutions in this work may be used to explain and understand the physical nature of the wave spreads in the most dispersive medium. The constraint condition for the existence of solitons is stated. Some three dimensional figures for some of the acquired results are illustrated. Published by AIP Publishing.Article Citation - WoS: 27Citation - Scopus: 33A New Iterative Algorithm on the Time-Fractional Fisher Equation: Residual Power Series Method(Sage Publications Ltd, 2017) Korpinar, Zeliha; Baleanu, Dumitru; Inc, Mustafa; Al Qurashi, Maysaa' MohamedIn this article, the residual power series method is used to solve time-fractional Fisher equation. The residual power series method gets Maclaurin expansion of the solution. The solutions of present equation are computed in the shape of quickly convergent series with quickly calculable fundamentals using mathematica software package. Explanation of the method is given by graphical consequences and series solutions are made use of to represent our solution. The found consequences show that technique is a power and efficient method in conviction of solution time-fractional Fisher equation.Article Citation - WoS: 84Citation - Scopus: 78Solutions of the Time Fractional Reaction-Diffusion Equations With Residual Power Series Method(Sage Publications Ltd, 2016) Inc, Mustafa; Korpinar, Zeliha S.; Baleanu, Dumitru; Tchier, FairouzIn this article, the residual power series method for solving nonlinear time fractional reaction-diffusion equations is introduced. Residual power series algorithm gets Maclaurin expansion of the solution. The algorithm is tested on Fitzhugh-Nagumo and generalized Fisher equations with nonlinearity ranging. The solutions of our equation are computed in the form of rapidly convergent series with easily calculable components using Mathematica software package. Reliability of the method is given by graphical consequences, and series solutions are used to illustrate the solution. The found consequences show that the method is a powerful and efficient method in determination of solution of the time fractional reaction-diffusion equations.Article Citation - WoS: 2Citation - Scopus: 31A New Method for Approximate Solutions of Some Nonlinear Equations: Residual Power Series Method(Sage Publications Ltd, 2016) Korpinar, Zeliha S.; Al Qurashi, Maysaa' Mohamed; Baleanu, Dumitru; Inc, MustafaIn this work, a powerful iterative method called residual power series method is introduced to obtain approximate solutions of nonlinear time-dependent generalized Fitzhugh-Nagumo equation with time-dependent coefficients and Sharma-Tasso-Olver equation subjected to certain initial conditions. The consequences show that this method is efficient and convenient, and can be applied to a large sort of problems. The approximate solutions are compared with the known exact solutions.