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Parallel algorithm for convection–diffusion system based on least-squares procedure
Combining subspace correction method with least-squares finite element procedure, we construct a new overlapping domain decomposition parallel algorithm for solving the first-order time-dependent convection–diffusion system. This algorithm is fully parallel. We analyze the convergence of approximate...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045462/ https://www.ncbi.nlm.nih.gov/pubmed/27752458 http://dx.doi.org/10.1186/s40064-016-3333-8 |
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author | Zhang, Jiansong Guo, Hui Fu, Hongfei Chang, Yanzhen |
author_facet | Zhang, Jiansong Guo, Hui Fu, Hongfei Chang, Yanzhen |
author_sort | Zhang, Jiansong |
collection | PubMed |
description | Combining subspace correction method with least-squares finite element procedure, we construct a new overlapping domain decomposition parallel algorithm for solving the first-order time-dependent convection–diffusion system. This algorithm is fully parallel. We analyze the convergence of approximate solution, and study the dependence of the convergent rate on the spacial mesh size, time increment, iteration number and sub-domains overlapping degree. Both theoretical analysis and numerical results suggest that only one or two iterations are needed to reach to given accuracy at each time step. |
format | Online Article Text |
id | pubmed-5045462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-50454622016-10-17 Parallel algorithm for convection–diffusion system based on least-squares procedure Zhang, Jiansong Guo, Hui Fu, Hongfei Chang, Yanzhen Springerplus Research Combining subspace correction method with least-squares finite element procedure, we construct a new overlapping domain decomposition parallel algorithm for solving the first-order time-dependent convection–diffusion system. This algorithm is fully parallel. We analyze the convergence of approximate solution, and study the dependence of the convergent rate on the spacial mesh size, time increment, iteration number and sub-domains overlapping degree. Both theoretical analysis and numerical results suggest that only one or two iterations are needed to reach to given accuracy at each time step. Springer International Publishing 2016-10-01 /pmc/articles/PMC5045462/ /pubmed/27752458 http://dx.doi.org/10.1186/s40064-016-3333-8 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Zhang, Jiansong Guo, Hui Fu, Hongfei Chang, Yanzhen Parallel algorithm for convection–diffusion system based on least-squares procedure |
title | Parallel algorithm for convection–diffusion system based on least-squares procedure |
title_full | Parallel algorithm for convection–diffusion system based on least-squares procedure |
title_fullStr | Parallel algorithm for convection–diffusion system based on least-squares procedure |
title_full_unstemmed | Parallel algorithm for convection–diffusion system based on least-squares procedure |
title_short | Parallel algorithm for convection–diffusion system based on least-squares procedure |
title_sort | parallel algorithm for convection–diffusion system based on least-squares procedure |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045462/ https://www.ncbi.nlm.nih.gov/pubmed/27752458 http://dx.doi.org/10.1186/s40064-016-3333-8 |
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