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S

S. Sarwar

Researcher at COMSATS Institute of Information Technology

Publications -  10
Citations -  276

S. Sarwar is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Fractional calculus & Homotopy. The author has an hindex of 7, co-authored 10 publications receiving 206 citations. Previous affiliations of S. Sarwar include Shanghai University.

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Novel explicit solutions for the nonlinear Zoomeron equation by using newly extended direct algebraic technique

TL;DR: An analytical solver which is known as a generalization of types methodologies is presented and one of the old but at the same time popular problem is considered, which isknown as nonlinear Zoomeron equation and its analytical solutions are tried to obtain.
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Approximate solution of two-term fractional-order diffusion, wave-diffusion, and telegraph models arising in mathematical physics using optimal homotopy asymptotic method

TL;DR: In this article, the analytical approximate solutions for two-term fractional-order diffusion, wave-diffusion, and telegraph equations were investigated, where the fractional derivatives are defined in the Caputo sense, whose orders belong to the intervals [0, 1], (1,2), and [1, 2], respectively.
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A note on optimal homotopy asymptotic method for the solutions of fractional order heat- and wave-like partial differential equations

TL;DR: The numerical results rendering that the applied OHAM method is explicit, effective and easy to use, for handling more general fractional order heat- and wave-like models.
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Stability analysis, dynamical behavior and analytical solutions of nonlinear fractional differential system arising in chemical reaction

TL;DR: In this paper, the optimal homotopy asymptotic method is extended to the system of fractional partial differential equations and a numerical example is presented as well to investigate the convergence, performance, and effectiveness of this method.
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Mathematical study of fractional-order biological population model using optimal homotopy asymptotic method

TL;DR: In this paper, the optimal homotopy asymptotic method (OHAM) is extended and successfully implemented to solve fractional-order biological population models (FBPMs) with Malthusian, Verhulst, and porous media laws.