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您的检索式：作者名="Kamaledin Abodayeh"
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| 1 | Analysis of Pneumonia Model via Efficient Computing Techniques显示文摘Pneumonia is a highly transmissible disease in children.According to the World Health Organization(WHO),the most affected regions include south Asia and sub-Saharan Africa.Worldwide,15%of pediatric deaths can be attributed to pneumonia.Computing techniques have a significant role in science,engineering,and many other fields.In this study,we focused on the efficiency of numerical techniques via computer programs.We studied the dynamics of the pneumonia-like infections of epidemic models using numerical techniques.We discuss two types of analysis:dynamical and numerical.The dynamical analysis included positivity,boundedness,local stability,reproduction number,and equilibria of the model.We also discusswell-known computing techniques including Euler,Runge Kutta,and non-standard finite difference(NSFD)for the model.The non-standard finite difference(NSFD)technique shows convergence to the true equilibrium points of the model for any time step size.However,Euler and Runge Kutta do not work well over large time intervals.Computing techniques are the suitable tool for crosschecking the theoretical analysis of the model. | Kamaledin Abodayeh Ali Raza Muhammad Rafiq Muhammad Shoaib Arif Muhammad Naveed Zunir Zeb Syed Zaheer Abbas Kiran Shahzadi Sana Sarwar Qasim Naveed Badar Ul Zaman Muhammad Mohsin | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 2 | An Effective Numerical Method for the Solution of a Stochastic Coronavirus(2019-nCovid)Pandemic Model显示文摘Nonlinear stochastic modeling plays a significant role in disciplines such as psychology,finance,physical sciences,engineering,econometrics,and biological sciences.Dynamical consistency,positivity,and boundedness are fundamental properties of stochastic modeling.A stochastic coronavirus model is studied with techniques of transition probabilities and parametric perturbation.Well-known explicit methods such as Euler Maruyama,stochastic Euler,and stochastic Runge–Kutta are investigated for the stochastic model.Regrettably,the above essential properties are not restored by existing methods.Hence,there is a need to construct essential properties preserving the computational method.The non-standard approach of finite difference is examined to maintain the above basic features of the stochastic model.The comparison of the results of deterministic and stochastic models is also presented.Our proposed efficient computational method well preserves the essential properties of the model.Comparison and convergence analyses of the method are presented. | Wasfi Shatanawi Ali Raza Muhammad Shoaib Arif Kamaledin Abodayeh Muhammad Rafiq Mairaj Bibi | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 3 | Numerical Analysis of Stochastic Vector Borne Plant Disease Model显示文摘We are associating the solutions of stochastic and deterministic vector borne plant disease model in this manuscript.The dynamics of plant model depends upon threshold number P^(∗).If P^(∗)<1 then condition helpful to eradicate the disease in plants while P^(∗)>1 explains the persistence of disease.Inappropriately,standard numerical systems do not behave well in certain scenarios.We have been proposed a structure preserving stochastic non-standard finite difference system to analyze the behavior of model.This system is dynamical consistent,positive and bounded as defined by Mickens. | Kamaledin Abodayeh Ali Raza Muhammad Shoaib Arif Muhammad Rafiq Mairaj Bibi Rabia Fayyaz | 2020 | Computers, Materials & Continua2020，，4： | 0 |
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