- Journal Home
- Volume 41 - 2025
- Volume 40 - 2024
- Volume 39 - 2023
- Volume 38 - 2022
- Volume 37 - 2021
- Volume 36 - 2020
- Volume 35 - 2019
- Volume 34 - 2018
- Volume 33 - 2017
- Volume 32 - 2016
- Volume 31 - 2015
- Volume 30 - 2014
- Volume 29 - 2013
- Volume 28 - 2012
- Volume 27 - 2011
- Volume 26 - 2010
- Volume 25 - 2009
Commun. Math. Res., 35 (2019), pp. 193-207.
Published online: 2019-12
Cited by
- BibTex
- RIS
- TXT
In this paper, a nearly analytic discretization method for one-dimensional linear unsteady convection-dominated diffusion equations and viscous Burgers' equation as one of the nonlinear equation is considered. In the case of linear equations, we find the local truncation error of the scheme is $O(\tau^2+h^4)$ and consider the stability analysis of the method on the basis of the classical von Neumann's theory. In addition, the nearly analytic discretization method for the one-dimensional viscous Burgers' equation is also constructed. The numerical experiments are performed for several benchmark problems presented in some literatures to illustrate the theoretical results. Theoretical and numerical results show that our method is to be higher accurate and nonoscillatory and might be helpful particularly in computations for the unsteady convection-dominated diffusion problems.
In this paper, a nearly analytic discretization method for one-dimensional linear unsteady convection-dominated diffusion equations and viscous Burgers' equation as one of the nonlinear equation is considered. In the case of linear equations, we find the local truncation error of the scheme is $O(\tau^2+h^4)$ and consider the stability analysis of the method on the basis of the classical von Neumann's theory. In addition, the nearly analytic discretization method for the one-dimensional viscous Burgers' equation is also constructed. The numerical experiments are performed for several benchmark problems presented in some literatures to illustrate the theoretical results. Theoretical and numerical results show that our method is to be higher accurate and nonoscillatory and might be helpful particularly in computations for the unsteady convection-dominated diffusion problems.