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Mehmet Merdan

Researcher at Gümüşhane University

Publications -  61
Citations -  724

Mehmet Merdan is an academic researcher from Gümüşhane University. The author has contributed to research in topics: Nonlinear system & Fractional calculus. The author has an hindex of 14, co-authored 55 publications receiving 609 citations.

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An approximate solution of a model for HIV infection of CD4+ T cells

TL;DR: The approximate solution of the differential system modeling HIV infection of CD4 + T cells is obtained by a reliable algorithm based on an adaptation of the standard variational iteration method (VIM), which is called the multi-stage variational iterations method (MSVIM).
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Deterministic stability and random behavior of a Hepatitis C model.

TL;DR: The deterministic stability of a model of Hepatitis C which includes a term defining the effect of immune system is studied on both local and global scales and random effect is added to the model to investigate the random behavior of the model.
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Numerical solution of the fractional-order Vallis systems using multi-step differential transformation method

TL;DR: In this article, the authors examined a fractional order Vallis system and performed a detailed analysis on the stability of equilibrium, and proposed a multi-step differential transform method (MsDTM) to give approximate and analytical solutions.

On the solutions of time-fractio3nal generalized hirota-satsuma coupled-kdv equation with modified riemann-liouville derivative by an analytical technique

TL;DR: In this article, a new application of fractional variational iteration method (FVIM) was extended to derive analytical solutions in the form of a series for strongly nonlinear couple partial equations with modified Riemann-Liouville derivative.
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Numerical Approximations to the Solution of Ray Tracing through the Crystalline Lens

TL;DR: In this paper, an approximate analytical solution in the form of a rapidly convergent series for tracing light rays through an inhomogeneous graded index medium is developed, using the multi-step differential transform method based on the classical differential transformation method.