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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...

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Detalles Bibliográficos
Autores principales: Zhang, Jiansong, Guo, Hui, Fu, Hongfei, Chang, Yanzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
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.
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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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