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

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。
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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
CiteScore
2.00
自引率
10.00%
发文量
30
审稿时长
25 weeks
期刊最新文献
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