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An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method
An optimized Schwarz domain decomposition method (DDM) for solving the local optical response model (LORM) is proposed in this paper. We introduce a hybridizable discontinuous Galerkin (HDG) scheme for the discretization of such a model problem based on a triangular mesh of the computational domain....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137555/ https://www.ncbi.nlm.nih.gov/pubmed/37190481 http://dx.doi.org/10.3390/e25040693 |
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author | Chen, Jia-Fen Gu, Xian-Ming Li, Liang Zhou, Ping |
author_facet | Chen, Jia-Fen Gu, Xian-Ming Li, Liang Zhou, Ping |
author_sort | Chen, Jia-Fen |
collection | PubMed |
description | An optimized Schwarz domain decomposition method (DDM) for solving the local optical response model (LORM) is proposed in this paper. We introduce a hybridizable discontinuous Galerkin (HDG) scheme for the discretization of such a model problem based on a triangular mesh of the computational domain. The discretized linear system of the HDG method on each subdomain is solved by a sparse direct solver. The solution of the interface linear system in the domain decomposition framework is accelerated by a Krylov subspace method. We study the spectral radius of the iteration matrix of the Schwarz method for the LORM problems, and thus propose an optimized parameter for the transmission condition, which is different from that for the classical electromagnetic problems. The numerical results show that the proposed method is effective. |
format | Online Article Text |
id | pubmed-10137555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101375552023-04-28 An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method Chen, Jia-Fen Gu, Xian-Ming Li, Liang Zhou, Ping Entropy (Basel) Article An optimized Schwarz domain decomposition method (DDM) for solving the local optical response model (LORM) is proposed in this paper. We introduce a hybridizable discontinuous Galerkin (HDG) scheme for the discretization of such a model problem based on a triangular mesh of the computational domain. The discretized linear system of the HDG method on each subdomain is solved by a sparse direct solver. The solution of the interface linear system in the domain decomposition framework is accelerated by a Krylov subspace method. We study the spectral radius of the iteration matrix of the Schwarz method for the LORM problems, and thus propose an optimized parameter for the transmission condition, which is different from that for the classical electromagnetic problems. The numerical results show that the proposed method is effective. MDPI 2023-04-19 /pmc/articles/PMC10137555/ /pubmed/37190481 http://dx.doi.org/10.3390/e25040693 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Jia-Fen Gu, Xian-Ming Li, Liang Zhou, Ping An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method |
title | An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method |
title_full | An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method |
title_fullStr | An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method |
title_full_unstemmed | An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method |
title_short | An Optimized Schwarz Method for the Optical Response Model Discretized by HDG Method |
title_sort | optimized schwarz method for the optical response model discretized by hdg method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137555/ https://www.ncbi.nlm.nih.gov/pubmed/37190481 http://dx.doi.org/10.3390/e25040693 |
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