Journal of Computational and Applied Mathematics2022,Vol.41213.DOI:10.1016/j.cam.2022.114313

A primal-dual finite element method for transport equations in non-divergence form

Li, Dan Wang, Chunmei Wang, Junping
Journal of Computational and Applied Mathematics2022,Vol.41213.DOI:10.1016/j.cam.2022.114313

A primal-dual finite element method for transport equations in non-divergence form

Li, Dan 1Wang, Chunmei 2Wang, Junping3
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作者信息

  • 1. Northwestern Polytech Univ
  • 2. Univ Florida
  • 3. Natl Sci Fdn
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Abstract

This article presents a new primal-dual weak Galerkin (PDWG) finite element method for transport equations in non-divergence form. The PDWG method employs locally reconstructed differential operators and stabilizers in the weak Galerkin framework, and yields a symmetric discrete linear system involving the primal variable and the dual variable (known as the Lagrangian multiplier) for the adjoint equation. Optimal order error estimates are established in various discrete Sobolev norms for the corresponding numerical solutions. Numerical results are reported to illustrate the accuracy and efficiency of the new PDWG method. (c) 2022 Elsevier B.V. All rights reserved.

Key words

Primal-dual weak Galerkin/Finite element method/Weak Galerkin/Transport equation/Non-divergence/Discrete weak gradient/NONCOERCIVE

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量4
参考文献量16
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