In the present paper, the spectral meshless radial point interpolation (SMRPI) technique is applied to the solution of pattern formation in nonlinear reaction-diffusion systems. Firstly, we obtain a time discrete scheme by approximating the time derivative via a finite difference formula, then we use the SMRPI approach to approximate the spatial derivatives. This method is based on a combination of meshless methods and spectral collocation techniques. The point interpolation method with the help of radial basis functions is used to construct shape functions which act as basis functions in the frame of SMRPI. In the current work, the thin plate splines (TPS) are used as the basis functions and in order to eliminate the nonlinearity, a simple predictor-corrector (P-C) scheme is performed. The effect of parameters and conditions are studied by considering the well known Brusselator model. Two test problems are solved and numerical simulations are reported which confirm the efficiency of the proposed scheme.
Shivanian, E., & Jafarabadi, A. (2021). Numerical investigation based on a local meshless radial point interpolation for solving coupled nonlinear reaction-diffusion system. Computational Methods for Differential Equations, 9(2), 358-374. doi: 10.22034/cmde.2019.30396.1450
MLA
Elyas Shivanian; Ahmad Jafarabadi. "Numerical investigation based on a local meshless radial point interpolation for solving coupled nonlinear reaction-diffusion system". Computational Methods for Differential Equations, 9, 2, 2021, 358-374. doi: 10.22034/cmde.2019.30396.1450
HARVARD
Shivanian, E., Jafarabadi, A. (2021). 'Numerical investigation based on a local meshless radial point interpolation for solving coupled nonlinear reaction-diffusion system', Computational Methods for Differential Equations, 9(2), pp. 358-374. doi: 10.22034/cmde.2019.30396.1450
VANCOUVER
Shivanian, E., Jafarabadi, A. Numerical investigation based on a local meshless radial point interpolation for solving coupled nonlinear reaction-diffusion system. Computational Methods for Differential Equations, 2021; 9(2): 358-374. doi: 10.22034/cmde.2019.30396.1450
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