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  • Open Access

    ARTICLE

    Spatio-Temporal Dynamics and Structure Preserving Algorithm for Computer Virus Model

    Nauman Ahmed1,2, Umbreen Fatima1, Shahzaib Iqbal1, Ali Raza3, Muhammad Rafiq4,*, Muhammad Aziz-ur-Rehman2, Shehla Saeed1, Ilyas Khan5, Kottakkaran Sooppy Nisar6

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 201-212, 2021, DOI:10.32604/cmc.2021.014171 - 22 March 2021

    Abstract The present work is related to the numerical investigation of the spatio-temporal susceptible-latent-breaking out-recovered (SLBR) epidemic model. It describes the computer virus dynamics with vertical transmission via the internet. In these types of dynamics models, the absolute values of the state variables are the fundamental requirement that must be fulfilled by the numerical design. By taking into account this key property, the positivity preserving algorithm is designed to solve the underlying SLBR system. Since, the state variables associated with the phenomenon, represent the computer nodes, so they must take in absolute. Moreover, the continuous system More >

  • Open Access

    ARTICLE

    Numerical Study of Computer Virus Reaction Diffusion Epidemic Model

    Umbreen Fatima1, Dumitru Baleanu2,3,4, Nauman Ahmed5,8, Shumaila Azam5, Ali Raza6,*, Muhammad Rafiq7, Muhammad Aziz-ur Rehman8

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3183-3194, 2021, DOI:10.32604/cmc.2021.012666 - 28 December 2020

    Abstract Reaction–diffusion systems are mathematical models which link to several physical phenomena. The most common is the change in space and time of the meditation of one or more materials. Reaction–diffusion modeling is a substantial role in the modeling of computer propagation like infectious diseases. We investigated the transmission dynamics of the computer virus in which connected to each other through network globally. The current study devoted to the structure-preserving analysis of the computer propagation model. This manuscript is devoted to finding the numerical investigation of the reaction–diffusion computer virus epidemic model with the help of a More >

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