Using adaptive mesh methods is one of the strategies to improve numerical solutions in time dependent partial differential equations. The moving mesh method is an adaptive mesh method, which, firstly does not need an increase in the number of mesh points, secondly reduces the concentration of points in the steady areas of the solutions that do not need a high degree of accuracy, and finally places the points in the areas, where a high degree of accuracy is needed. In this paper, we improved the numerical solutions for a three-phase model of avascular tumor growth by using the moving mesh method. The physical formulation of this model uses reaction-diffusion dynamics with the mass conservation law and appears in the format of the nonlinear system of partial differential equations based on the continuous density of three proliferating, quiescent, and necrotic cell categorizations. Our numerical results show more accurate numerical solutions, as compared to the corresponding fixed mesh method. Moreover, this method leads to the higher order of numerical convergence.
Bagherpoorfard, M., & Soheili, A. R. (2021). A numerical method based on the moving mesh for the solving of a mathematical model of the avascular tumor growth. Computational Methods for Differential Equations, 9(2), 327-346. doi: 10.22034/cmde.2020.31455.1472
MLA
Mina Bagherpoorfard; Ali Reza Soheili. "A numerical method based on the moving mesh for the solving of a mathematical model of the avascular tumor growth". Computational Methods for Differential Equations, 9, 2, 2021, 327-346. doi: 10.22034/cmde.2020.31455.1472
HARVARD
Bagherpoorfard, M., Soheili, A. R. (2021). 'A numerical method based on the moving mesh for the solving of a mathematical model of the avascular tumor growth', Computational Methods for Differential Equations, 9(2), pp. 327-346. doi: 10.22034/cmde.2020.31455.1472
VANCOUVER
Bagherpoorfard, M., Soheili, A. R. A numerical method based on the moving mesh for the solving of a mathematical model of the avascular tumor growth. Computational Methods for Differential Equations, 2021; 9(2): 327-346. doi: 10.22034/cmde.2020.31455.1472