An Effective Numerical Method for the Solution of a Stochastic Coronavirus (2019-nCovid) Pandemic Model

نویسندگان

چکیده

Nonlinear stochastic modeling plays a significant role in disciplines such as psychology, finance, physical sciences, engineering, econometrics, and biological sciences. Dynamical consistency, positivity, boundedness are fundamental properties of modeling. A coronavirus model is studied with techniques transition probabilities parametric perturbation. Well-known explicit methods Euler Maruyama, Euler, Runge–Kutta investigated for the model. Regrettably, above essential not restored by existing methods. Hence, there need to construct preserving computational method. The non-standard approach finite difference examined maintain basic features comparison results deterministic models also presented. Our proposed efficient method well preserves Comparison convergence analyses

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ژورنال

عنوان ژورنال: Computers, materials & continua

سال: 2021

ISSN: ['1546-2218', '1546-2226']

DOI: https://doi.org/10.32604/cmc.2020.012070