Muhammad Rafiq1, Ali Ahmadian2, *, Ali Raza3, Dumitru Baleanu4, Muhammad Sarwar Ahsan1, Mohammad Hasan Abdul Sathar5
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 33-51, 2020, DOI:10.32604/cmc.2020.010893
- 23 July 2020
Abstract Nonlinear stochastic modeling has significant role in the all discipline of
sciences. The essential control measuring features of modeling are positivity,
boundedness and dynamical consistency. Unfortunately, the existing stochastic methods
in literature do not restore aforesaid control measuring features, particularly for the
stochastic models. Therefore, these gaps should be occupied up in literature, by
constructing the control measuring features numerical method. We shall present a
numerical control measures for stochastic malaria model in this manuscript. The results
of the stochastic model are discussed in contrast of its equivalent deterministic model. If
the basic reproduction number More >
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