S
Sinan Deniz
Researcher at Celal Bayar University
Publications - 56
Citations - 684
Sinan Deniz is an academic researcher from Celal Bayar University. The author has contributed to research in topics: Nonlinear system & Iterative method. The author has an hindex of 16, co-authored 44 publications receiving 549 citations.
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A new analysis of a partial differential equation arising in biology and population genetics via semi analytical techniques
TL;DR: In this article, a new optimal perturbation iteration method for solving the generalized Fitzhugh-Nagumo equation with time-dependent coefficients is proposed, with the aid of symbolic computations, providing a straightforward and impressive mathematical tool for solving nonlinear partial differential equations.
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A new efficient method for solving delay differential equations and a comparison with other methods
Necdet Bildik,Sinan Deniz +1 more
TL;DR: In this paper, the optimal perturbation iteration method is applied to delay differential equations to find an efficient algorithm for their approximate solutions, and the effectiveness of this method is tested by various examples of linear and nonlinear problems of delay differential equation.
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A new analytical technique for solving Lane - Emden type equations arising in astrophysics
Sinan Deniz,Necdet Bildik +1 more
TL;DR: In this article, the optimal perturbation iteration method was introduced and implemented to singular initial value Lane-Emden type problems to test the effectiveness and performance of the method, which provides us to adjust the convergence regions when necessary.
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Comparison of Adomian Decomposition Method and Taylor Matrix Method in Solving Different Kinds of Partial Differential Equations
Sinan Deniz,Necdet Bildik +1 more
TL;DR: In this article, a comparison between the Adomian Decomposition Method (ADM) and Taylor Matrix Method by solving some well-known partial differential equations (PDEs) is presented.
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Fractional Optimal Control Dynamics of Coronavirus Model with Mittag–Leffler Law
TL;DR: In this paper, a fractional optimal control model is formulated in Atangana-Baleanu-Caputo derivative sense and the reproduction number and steady state of disease free of the Coronavirus model are examined and found to be globally stable.