A Parallel iterative Algorithm for primal-dual weak Galerkin Schemes

Fuente: arXiv
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Auteurs principaux: Wang, Chunmei, Wang, Junping
Format: Preprint
Publié: 2024
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author Wang, Chunmei
Wang, Junping
author_facet Wang, Chunmei
Wang, Junping
contents This paper presents and analyzes a parallelizable iterative procedure based on domain decomposition for primal-dual weak Galerkin (PDWG) finite element methods applied to the Poisson equation. The existence and uniqueness of the PDWG solution are established. Optimal order of error estimates are derived in both a discrete norm and the $L^2$ norm. The convergence analysis is conducted for domain decompositions into individual elements associated with the PDWG methods, which can be extended to larger subdomains without any difficulty.
format Preprint
id arxiv_https___arxiv_org_abs_2407_00907
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Parallel iterative Algorithm for primal-dual weak Galerkin Schemes
Wang, Chunmei
Wang, Junping
Numerical Analysis
65N30, 65N15, 65N12, 74N20
This paper presents and analyzes a parallelizable iterative procedure based on domain decomposition for primal-dual weak Galerkin (PDWG) finite element methods applied to the Poisson equation. The existence and uniqueness of the PDWG solution are established. Optimal order of error estimates are derived in both a discrete norm and the $L^2$ norm. The convergence analysis is conducted for domain decompositions into individual elements associated with the PDWG methods, which can be extended to larger subdomains without any difficulty.
title A Parallel iterative Algorithm for primal-dual weak Galerkin Schemes
topic Numerical Analysis
65N30, 65N15, 65N12, 74N20
url https://arxiv.org/abs/2407.00907