The Stabilization-Free Virtual Element Discretization for Anisotropic Diffusion Problems on Polygonal Meshes

This paper introduces a stabilization-free virtual element method designed for solving heterogeneous and anisotropic diffusion equations on general polygonal meshes. The new method eliminates the need for stabilization and projection operator constraints by employing the extreme learning machines to locally approximate virtual element basis functions. In numerical experiments, the proposed method produces results identical to within roundoff error to those of the standard \(Q_1\) and \(P_1\) FEM on rectangular and triangular meshes, respectively. Numerical results demonstrate that the new method maintains optimal convergence rates for the \(L^2\) and \(H^1\) error on general polygonal meshes, even when the diffusion tensor is anisotropic, heterogeneous, or discontinuous.

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Publication Details

Journal
Communications in Computational Physics
Published
2026-11-10
DOI
https://doi.org/10.4208/cicp.oa-2026-0006
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

The Stabilization-Free Virtual Element Discretization for Anisotropic Diffusion Problems on Polygonal Meshes

Shuang Tan, Yong Wang, Zhiming Gao, Jie Wang
Communications in Computational Physics
Advanced Numerical Methods in Computational Mathematics
article

The Stabilization-Free Virtual Element Discretization for Anisotropic Diffusion Problems on Polygonal Meshes

Shuang Tan, Yong Wang, Zhiming Gao, Jie Wang
article en

Abstract

This paper introduces a stabilization-free virtual element method designed for solving heterogeneous and anisotropic diffusion equations on general polygonal meshes. The new method eliminates the need for stabilization and projection operator constraints by employing the extreme learning machines to locally approximate virtual element basis functions. In numerical experiments, the proposed method produces results identical to within roundoff error to those of the standard \(Q_1\) and \(P_1\) FEM on rectangular and triangular meshes, respectively. Numerical results demonstrate that the new method maintains optimal convergence rates for the \(L^2\) and \(H^1\) error on general polygonal meshes, even when the diffusion tensor is anisotropic, heterogeneous, or discontinuous.

Communications in Computational Physics
Institute of Applied Physics and Computational Mathematics (CN), Graduate School of China Academy of Engineering Physics (CN), Huazhong University of Science and Technology (CN)
Advanced Numerical Methods in Computational Mathematics
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