Generalized weak Galerkin methods for H(div), H(curl), and H(div, curl)-elliptic problems

This work presents a unified framework for generalized weak Galerkin (gWG) methods applied to two- and three-dimensional elliptic problems in the function spaces H (div), H (curl), and H (div, curl). The proposed methodology introduces generalized discrete differential operators, including weakly defined curl and divergence operators, within the weak Galerkin framework. A key feature of this approach is its flexibility in allowing arbitrary combinations of piecewise polynomial approximations in the interior and on the boundaries of each local polytopal element. Optimal order error estimates in energy norms are established for the resulting gWG method. Furthermore, numerical experiments are conducted to validate the theoretical findings and illustrate the accuracy and efficiency of the proposed method.

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Publication Details

Journal
Computers & Mathematics with Applications
Published
2026-03-04
DOI
https://doi.org/10.1016/j.camwa.2026.02.018
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Generalized weak Galerkin methods for H(div), H(curl), and H(div, curl)-elliptic problems

Gouranga Pradhan, Raman Kumar
Computers & Mathematics with Applications
Advanced Numerical Methods in Computational Mathematics
article

Generalized weak Galerkin methods for H(div), H(curl), and H(div, curl)-elliptic problems

Gouranga Pradhan, Raman Kumar
article en

Abstract

This work presents a unified framework for generalized weak Galerkin (gWG) methods applied to two- and three-dimensional elliptic problems in the function spaces H (div), H (curl), and H (div, curl). The proposed methodology introduces generalized discrete differential operators, including weakly defined curl and divergence operators, within the weak Galerkin framework. A key feature of this approach is its flexibility in allowing arbitrary combinations of piecewise polynomial approximations in the interior and on the boundaries of each local polytopal element. Optimal order error estimates in energy norms are established for the resulting gWG method. Furthermore, numerical experiments are conducted to validate the theoretical findings and illustrate the accuracy and efficiency of the proposed method.

Computers & Mathematics with ApplicationsVol. 210
Siksha O Anusandhan University (IN), Université de Montpellier (FR), Centre Hospitalier Universitaire de Montpellier (FR)
Affordable and clean energy
Openalex Percentile: Top 31%
Advanced Numerical Methods in Computational Mathematics
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