Performance of 5-stage, 4-stage and specific stochastic Runge-Kutta methods in approximating the solution of stochastic biological model

Performance of 5-stage, 4-stage and specific stochastic Runge-Kutta methods in approximating the solution of stochastic biological model

In recent years, the transition on modelling physical systems via stochastic differential equations (SDEs) has attracted great interest among researchers. This is due to the limitations of ordinary differential equations in presenting the real phenomenon. To the fact that the stochastic models incor...

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Bibliographic Details
Main Authors: Adzhar N. (Author), Ahatjonovich A.A (Author), Ariffin, N.A.N (Author), Hamid M.R.A (Author), Jaini N.I (Author), Kasim, A.R.M (Author), Mazlan, M.S.A (Author), Misni F. (Author), Moslim N.H (Author), Nasir N.M (Author), Rosli, N. (Author), Satari S.Z (Author), Yusoff W.N.S.W (Author), Zabidi S.F.A (Author), Zakaria R. (Author)
Format: Article
Language:English
Published: IOP Publishing Ltd 2021
Subjects:
Biological modeling
Biological systems
Cell proliferation
Comparative studies
Numerical approaches
Numerical experiments
Numerical methods
Numerical solution
Ordinary differential equations
Random fluctuation
Random processes
Runge Kutta methods
Stochastic differential equations
Stochastic models
Stochastic Runge-Kutta methods
Stochastic systems
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