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Fast permutation preconditioning for fractional diffusion equations

In this paper, an implicit finite difference scheme with the shifted Grünwald formula, which is unconditionally stable, is used to discretize the fractional diffusion equations with constant diffusion coefficients. The coefficient matrix possesses the Toeplitz structure and the fast Toeplitz matrix-...

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Autores principales: Wang, Sheng-Feng, Huang, Ting-Zhu, Gu, Xian-Ming, Luo, Wei-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949200/
https://www.ncbi.nlm.nih.gov/pubmed/27478726
http://dx.doi.org/10.1186/s40064-016-2766-4
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author Wang, Sheng-Feng
Huang, Ting-Zhu
Gu, Xian-Ming
Luo, Wei-Hua
author_facet Wang, Sheng-Feng
Huang, Ting-Zhu
Gu, Xian-Ming
Luo, Wei-Hua
author_sort Wang, Sheng-Feng
collection PubMed
description In this paper, an implicit finite difference scheme with the shifted Grünwald formula, which is unconditionally stable, is used to discretize the fractional diffusion equations with constant diffusion coefficients. The coefficient matrix possesses the Toeplitz structure and the fast Toeplitz matrix-vector product can be utilized to reduce the computational complexity from [Formula: see text] to [Formula: see text] , where N is the number of grid points. Two preconditioned iterative methods, named bi-conjugate gradient method for Toeplitz matrix and bi-conjugate residual method for Toeplitz matrix, are proposed to solve the relevant discretized systems. Finally, numerical experiments are reported to show the effectiveness of our preconditioners.
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spelling pubmed-49492002016-07-29 Fast permutation preconditioning for fractional diffusion equations Wang, Sheng-Feng Huang, Ting-Zhu Gu, Xian-Ming Luo, Wei-Hua Springerplus Research In this paper, an implicit finite difference scheme with the shifted Grünwald formula, which is unconditionally stable, is used to discretize the fractional diffusion equations with constant diffusion coefficients. The coefficient matrix possesses the Toeplitz structure and the fast Toeplitz matrix-vector product can be utilized to reduce the computational complexity from [Formula: see text] to [Formula: see text] , where N is the number of grid points. Two preconditioned iterative methods, named bi-conjugate gradient method for Toeplitz matrix and bi-conjugate residual method for Toeplitz matrix, are proposed to solve the relevant discretized systems. Finally, numerical experiments are reported to show the effectiveness of our preconditioners. Springer International Publishing 2016-07-19 /pmc/articles/PMC4949200/ /pubmed/27478726 http://dx.doi.org/10.1186/s40064-016-2766-4 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
Wang, Sheng-Feng
Huang, Ting-Zhu
Gu, Xian-Ming
Luo, Wei-Hua
Fast permutation preconditioning for fractional diffusion equations
title Fast permutation preconditioning for fractional diffusion equations
title_full Fast permutation preconditioning for fractional diffusion equations
title_fullStr Fast permutation preconditioning for fractional diffusion equations
title_full_unstemmed Fast permutation preconditioning for fractional diffusion equations
title_short Fast permutation preconditioning for fractional diffusion equations
title_sort fast permutation preconditioning for fractional diffusion equations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949200/
https://www.ncbi.nlm.nih.gov/pubmed/27478726
http://dx.doi.org/10.1186/s40064-016-2766-4
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