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Research of the Algebraic Multigrid Method for Electron Optical Simulator
At present, electron optical simulator (EOS) takes a long time to solve linear FEM systems. The algebraic multigrid preconditioned conjugate gradient (AMGPCG) method can improve the efficiency of solving systems. This paper is focused on the implementation of the AMGPCG method in EOS. The aggregatio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407372/ https://www.ncbi.nlm.nih.gov/pubmed/36010797 http://dx.doi.org/10.3390/e24081133 |
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author | Wang, Zhi Hu, Quan Zhu, Xiao-Fang Li, Bin Hu, Yu-Lu Huang, Tao Yang, Zhong-Hai Li, Liang |
author_facet | Wang, Zhi Hu, Quan Zhu, Xiao-Fang Li, Bin Hu, Yu-Lu Huang, Tao Yang, Zhong-Hai Li, Liang |
author_sort | Wang, Zhi |
collection | PubMed |
description | At present, electron optical simulator (EOS) takes a long time to solve linear FEM systems. The algebraic multigrid preconditioned conjugate gradient (AMGPCG) method can improve the efficiency of solving systems. This paper is focused on the implementation of the AMGPCG method in EOS. The aggregation-based scheme, which uses two passes of a pairwise matching algorithm and the K-cyle scheme, is adopted in the aggregation-based algebraic multigrid method. Numerical experiments show the advantages and disadvantages of the AMG algorithm in peak memory and solving efficiency. The AMGPCG is more efficient than the iterative methods used in the past and only needs one coarsening when EOS computes the particle motion trajectory. |
format | Online Article Text |
id | pubmed-9407372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94073722022-08-26 Research of the Algebraic Multigrid Method for Electron Optical Simulator Wang, Zhi Hu, Quan Zhu, Xiao-Fang Li, Bin Hu, Yu-Lu Huang, Tao Yang, Zhong-Hai Li, Liang Entropy (Basel) Article At present, electron optical simulator (EOS) takes a long time to solve linear FEM systems. The algebraic multigrid preconditioned conjugate gradient (AMGPCG) method can improve the efficiency of solving systems. This paper is focused on the implementation of the AMGPCG method in EOS. The aggregation-based scheme, which uses two passes of a pairwise matching algorithm and the K-cyle scheme, is adopted in the aggregation-based algebraic multigrid method. Numerical experiments show the advantages and disadvantages of the AMG algorithm in peak memory and solving efficiency. The AMGPCG is more efficient than the iterative methods used in the past and only needs one coarsening when EOS computes the particle motion trajectory. MDPI 2022-08-16 /pmc/articles/PMC9407372/ /pubmed/36010797 http://dx.doi.org/10.3390/e24081133 Text en © 2022 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 Wang, Zhi Hu, Quan Zhu, Xiao-Fang Li, Bin Hu, Yu-Lu Huang, Tao Yang, Zhong-Hai Li, Liang Research of the Algebraic Multigrid Method for Electron Optical Simulator |
title | Research of the Algebraic Multigrid Method for Electron Optical Simulator |
title_full | Research of the Algebraic Multigrid Method for Electron Optical Simulator |
title_fullStr | Research of the Algebraic Multigrid Method for Electron Optical Simulator |
title_full_unstemmed | Research of the Algebraic Multigrid Method for Electron Optical Simulator |
title_short | Research of the Algebraic Multigrid Method for Electron Optical Simulator |
title_sort | research of the algebraic multigrid method for electron optical simulator |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407372/ https://www.ncbi.nlm.nih.gov/pubmed/36010797 http://dx.doi.org/10.3390/e24081133 |
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