Year: 2025
Author: Jianghong Zhang, Fuzheng Gao, Jintao Cui
International Journal of Numerical Analysis and Modeling, Vol. 22 (2025), Iss. 2 : pp. 157–177
Abstract
In this paper, we establish a novel reduced-order weak Galerkin (ROWG) finite element method for solving parabolic equation with nonlinear compression coefficient. We first present the classical weak Galerkin finite element discretization scheme and derive the optimal error estimates. Then we apply a proper orthogonal decomposition (POD) technique to develop the ROWG method, which can effectively reduce degrees of freedom and CPU time. The optimal order error estimates are also derived, and the algorithm flow is provided. Finally, some numerical experiments illustrate the performance of the ROWG method. The numerical results show that the proposed ROWG method is efficient for solving nonlinear parabolic equations.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/ijnam2025-1008
International Journal of Numerical Analysis and Modeling, Vol. 22 (2025), Iss. 2 : pp. 157–177
Published online: 2025-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 21
Keywords: Weak Galerkin finite element method nonlinear parabolic equations proper orthogonal decomposition.