Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19
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 propos...
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| Published in | Results in physics Vol. 20; p. 103722 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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01.01.2021
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| Abstract | 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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| AbstractList | 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. 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.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. |
| ArticleNumber | 103722 |
| Author | Hammouch, Zakia Sooppy Nisar, Kottakkaran Singh, Harendra Srivastava, H.M. |
| Author_xml | – sequence: 1 givenname: Harendra surname: Singh fullname: Singh, Harendra email: harendra059@gmail.com organization: Department of Mathematics, Post-Graduate College, Ghazipur 233001, Uttar Pradesh, India – sequence: 2 givenname: H.M. surname: Srivastava fullname: Srivastava, H.M. email: harimsri@math.uvic.ca organization: Department of Mathematics and Statistics, University of Victoria, British Columbia V8W 3R4, Canada – sequence: 3 givenname: Zakia surname: Hammouch fullname: Hammouch, Zakia email: hammouch_zakia@tdmu.edu.vn organization: Division of Applied Mathematics, Thu Dau Mot University, Binh Duong Province, Vietnam – sequence: 4 givenname: Kottakkaran surname: Sooppy Nisar fullname: Sooppy Nisar, Kottakkaran email: n.sooppy@psau.edu.sa organization: Department of Mathematics, College of Arts and Sciences, Prince Sattam Bin Abdulaziz University, 11991 Wadi Aldawasir, Saudi Arabia |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33520625$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Corona virus model Fractional derivatives Stability analysis |
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| Title | Numerical simulation and stability analysis for the fractional-order dynamics of COVID-19 |
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