@Article{AAMM-13-1,
author = {Zhou, Huifang and Zhiqiang, Sheng and Yuan, Guangwei},
title = {A Conservative Gradient Discretization Method for Parabolic Equations},
journal = {Advances in Applied Mathematics and Mechanics},
year = {2021},
volume = {13},
number = {1},
pages = {232--260},
abstract = {<p style="text-align: justify;">In this paper, we propose a new conservative gradient discretization method (GDM) for one-dimensional parabolic partial differential equations (PDEs). We use the implicit Euler method for the temporal discretization and conservative gradient discretization method&nbsp; for spatial discretization. The method is based on a new cell-centered meshes, and it is locally conservative. It has smaller truncation error than the classical finite volume method on uniform meshes. We use the framework of the gradient discretization method to analyze the stability and convergence. The numerical experiments show that the new method has second-order convergence. Moreover, it is more accurate than the classical finite volume method in flux error, $L^2$ error and $L^{\infty}$ error.</p>},
issn = {2075-1354},
doi = {https://doi.org/10.4208/aamm.OA-2020-0047},
url = {https://global-sci.com/article/72965/a-conservative-gradient-discretization-method-for-parabolic-equations}
}