Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19 | Zendy

Harendra Singh | Zendy; H. M. Srivastava | Zendy; Zakia Hammouch | Zendy; Kottakkaran Sooppy Nisar | Zendy

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Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19

Author(s) -

Harendra Singh,

H. M. Srivastava,

Zakia Hammouch,

Kottakkaran Sooppy Nisar

Publication year - 2020

Publication title -

results in physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.743

H-Index - 56

ISSN - 2211-3797

DOI - 10.1016/j.rinp.2020.103722

Subject(s) - discretization , stability (learning theory) , computer science , work (physics) , domain (mathematical analysis) , mathematics , order (exchange) , fractional calculus , listing (finance) , mathematical optimization , physics , mathematical analysis , economics , finance , machine learning , thermodynamics

The main purpose of this work is to study the dynamics of a fractional-order Covid-19 model. An efficient computational method, which is based on the discretization of the domain and memory principle, is proposed to solve this fractional-order corona model numerically and the stability of the proposed method is also discussed. Efficiency of the proposed method is shown by listing the CPU time. It is shown that this method will work also for long-time behaviour. Numerical results and illustrative graphical simulation are given. The proposed discretization technique involves low computational cost.

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