基于广义Atangana-Baleanu分数阶导数的COVID-19认知模型的数值和理论分析

IF 0.8 Q2 MATHEMATICS

Journal of Applied Mathematics and Computational Mechanics Pub Date : 2022-03-01 DOI:10.17512/jamcm.2022.1.01

I. A. Baba, Idris Ahmed, Q. Al‐Mdallal, F. Jarad, Salisu Yunusa

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引用次数: 3

摘要

本文提出了一个在广义分数阶Atangana-Baleanu导数的情况下的新冠肺炎感知模型。利用不动点定理研究了所提出的分数阶模型解的存在性和唯一性。此外，我们执行预测-校正方法来找到其数值解，并使用导数中包含的参数的不同值来呈现各种解的图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Numerical and theoretical analysis of an awareness COVID-19 epidemic model via generalized Atangana-Baleanu fractional derivative

In this paper, a COVID-19 Awareness model in the setting of a generalized fractional Atangana-Baleanu derivative is proposed. The existence and uniqueness of a solution of the proposed fractional-order model are investigated under the techniques of fixed point theorems. In addition, we perform the predictor-corrector method to find its numeric solutions and present the graphs of the various solutions using different values of the parameters embodied in the derivative.

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来源期刊

Journal of Applied Mathematics and Computational Mechanics MATHEMATICS-

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

25 weeks