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Improvement of Convergence of Restarted GMRES(k) Method with Iterative Refinement using Minimized Residual Method
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- Kusakabe Yuzo
- Graduate School of Information Science and Electrical Eng., Kyushu University
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- Fujino Seiji
- Research Institute for Information Technology, Kyushu University
Bibliographic Information
- Other Title
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- 最小残差法によるGMRES(k)法のリスタート時の収束性改善
- サイショウ ザンサホウ ニ ヨル GMRES k ホウ ノ リスタートジ ノ シュウソクセイ カイゼン
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Description
In this paper we consider how to give the initial approximate solution χ_0 of the restarted GMRES(k) method with iterative refinement process which was proposed by Imakura et al. In this restarted GMRES(k) method, it is crucial to give a reasonable initial approximate solution e_0 of the equation of errors in order to improve the convergence of the restarted GMRES(k) method at the restarted phase. In order to do so, we adopt the higher order Minimal Residual method proposed by Indora et al. Numerical experiments show that the IR-GMRES(k)-MR(4) method works best among several methods.
Journal
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- Transactions of the Japan Society for Industrial and Applied Mathematics
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Transactions of the Japan Society for Industrial and Applied Mathematics 19 (4), 471-487, 2009
The Japan Society for Industrial and Applied Mathematics
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Details 詳細情報について
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- CRID
- 1390282680744433280
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- NII Article ID
- 110007505126
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- NII Book ID
- AN10367166
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- ISSN
- 09172246
- 24240982
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- NDL BIB ID
- 10537681
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed