Browsing by Author "Sweilam, Nasser"
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Article Citation - WoS: 7Citation - Scopus: 8Numerical Study for a Novel Variable-Order Multiple Time Delay Awareness Programs Mathematical Model(Elsevier, 2020) AL-Mekhlafi, Seham; Shatta, Salma; Baleanu, Dumitru; Sweilam, NasserIn the present work, a novel variable-order awareness programs mathematical model with multiple time delay is presented. Two types of variable-order fractional derivatives of Atangana-Baleanu-Caputo definitions are given. The properties of the proposed model such as the basic reproduction number and the stability of the equilibrium points are studied analytically and numerically. Two numerical methods are introduced to study the proposed models. These methods are the predictor-corrector method and the fifth order Adams Moulton method. In order to validate the theoretical results, numerical simulations and comparative studies are given. (C) 2020 IMACS. Published by Elsevier B.V. All rights reserved.Article Citation - WoS: 21Citation - Scopus: 27Numerical Study for Two Types Variable-Order Burgers' Equations With Proportional Delay(Elsevier, 2020) Al-Mekhlafi, Seham; Shatta, Salma; Baleanu, Dumitru; Sweilam, NasserIn this paper, variable order Burgers' equations with proportional delays in time and space are studied. The variable order derivatives are defined in the sense of Atangana and Baleanu. Two types of variable order Atangana and Baleanu definitions are presented here. The nonstandard weighted average finite difference method is developed to study numerically the proposed models problem in one and two dimensional. Moreover, the stability analysis and truncation error are analyzed. Two test examples with proportional delays are given to characterizing the memory property of the proposed models. It is found that the proposed technique can be applied to study such variable-order fractional equations simply and effectively. (C) 2020 IMACS. Published by Elsevier B.V. All rights reserved.Article Citation - WoS: 4Citation - Scopus: 6Numerical Treatments for the Optimal Control of Two Types Variable-Order Covid-19 Model(Elsevier, 2022) Al-Mekhlafi, Seham; Shatta, Salma; Baleanu, Dumitru; Sweilam, NasserIn this paper, a novel variable-order COVID-19 model with modified parameters is presented. The variable -order fractional derivatives are defined in the Caputo sense. Two types of variable order Caputo definitions are presented here. The basic reproduction number of the model is derived. Properties of the proposed model are studied analytically and numerically. The suggested optimal control model is studied using two numerical methods. These methods are non-standard generalized fourth-order Runge-Kutta method and the non-standard generalized fifth-order Runge-Kutta technique. Furthermore, the stability of the proposed methods are studied. To demonstrate the methodologies' simplicity and effectiveness, numerical test examples and comparisons with real data for Egypt and Italy are shown.

