Numerical Simulation for COVID-19 Model Using a Multidomain Spectral Relaxation Technique

The major objective of this work is to evaluate and study the model of coronavirus illness by providing an efficient numerical solution for this important model. The model under investigation is composed of five differential equations. In this study, the multidomain spectral relaxation method (MSRM) is used to numerically solve the suggested model. The proposed approach is based on the hypothesis that the domain of the problem can be split into a finite number of subintervals, each of which can have a solution. The procedure also converts the proposed model into a system of algebraic equations. Some theoretical studies are provided to discuss the convergence analysis of the suggested scheme and deduce an upper bound of the error. A numerical simulation is used to evaluate the approach's accuracy and utility, and it is presented in symmetric forms.

Automated summary

The objective of this work is to evaluate and study the model of coronavirus illness by providing an efficient numerical solution. The model consists of five differential equations, and the multidomain spectral relaxation method (MSRM) is used for numerical solution. The proposed approach splits the problem domain into subintervals and converts the model into a system of algebraic equations. The convergence analysis and error estimation are discussed, and a numerical simulation demonstrates the accuracy and utility of the approach in symmetric forms.