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A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation
The computational complexity of one-dimensional time fractional reaction-diffusion equation is O(N (2) M) compared with O(NM) for classical integer reaction-diffusion equation. Parallel computing is used to overcome this challenge. Domain decomposition method (DDM) embodies large potential for paral...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977434/ https://www.ncbi.nlm.nih.gov/pubmed/24778594 http://dx.doi.org/10.1155/2014/681707 |
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author | Gong, Chunye Bao, Weimin Tang, Guojian Jiang, Yuewen Liu, Jie |
author_facet | Gong, Chunye Bao, Weimin Tang, Guojian Jiang, Yuewen Liu, Jie |
author_sort | Gong, Chunye |
collection | PubMed |
description | The computational complexity of one-dimensional time fractional reaction-diffusion equation is O(N (2) M) compared with O(NM) for classical integer reaction-diffusion equation. Parallel computing is used to overcome this challenge. Domain decomposition method (DDM) embodies large potential for parallelization of the numerical solution for fractional equations and serves as a basis for distributed, parallel computations. A domain decomposition algorithm for time fractional reaction-diffusion equation with implicit finite difference method is proposed. The domain decomposition algorithm keeps the same parallelism but needs much fewer iterations, compared with Jacobi iteration in each time step. Numerical experiments are used to verify the efficiency of the obtained algorithm. |
format | Online Article Text |
id | pubmed-3977434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39774342014-04-28 A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation Gong, Chunye Bao, Weimin Tang, Guojian Jiang, Yuewen Liu, Jie ScientificWorldJournal Research Article The computational complexity of one-dimensional time fractional reaction-diffusion equation is O(N (2) M) compared with O(NM) for classical integer reaction-diffusion equation. Parallel computing is used to overcome this challenge. Domain decomposition method (DDM) embodies large potential for parallelization of the numerical solution for fractional equations and serves as a basis for distributed, parallel computations. A domain decomposition algorithm for time fractional reaction-diffusion equation with implicit finite difference method is proposed. The domain decomposition algorithm keeps the same parallelism but needs much fewer iterations, compared with Jacobi iteration in each time step. Numerical experiments are used to verify the efficiency of the obtained algorithm. Hindawi Publishing Corporation 2014-03-19 /pmc/articles/PMC3977434/ /pubmed/24778594 http://dx.doi.org/10.1155/2014/681707 Text en Copyright © 2014 Chunye Gong et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gong, Chunye Bao, Weimin Tang, Guojian Jiang, Yuewen Liu, Jie A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation |
title | A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation |
title_full | A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation |
title_fullStr | A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation |
title_full_unstemmed | A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation |
title_short | A Domain Decomposition Method for Time Fractional Reaction-Diffusion Equation |
title_sort | domain decomposition method for time fractional reaction-diffusion equation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977434/ https://www.ncbi.nlm.nih.gov/pubmed/24778594 http://dx.doi.org/10.1155/2014/681707 |
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