Improving the convergence behaviour of BiCGSTAB by applying <i>D</i>-norm minimization
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- Su Lijiong
- Department of Computer Science
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- Imakura Akira
- Department of Computer Science
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- Tadano Hiroto
- Department of Computer Science
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- Sakurai Tetsuya
- Department of Computer Science CREST
Abstract
In this article, we deal with the iterative methods for solving unsymmetric linear systems, especially BiCGSTAB. The introduced parameter in BiCGSTAB at each iteration is selected to minimize the 2-norm of the residual vector. Here, we suggest another way to select the parameter by the idea of weighting used in Weighted GMRES. By our procedure, more importance is assigned to the larger entry of the residual vector so that faster convergence can be expected. In numerical experiments, it is shown that our procedure is efficient compared with the original BiCGSTAB.
Journal
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- JSIAM Letters
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JSIAM Letters 7 (0), 37-40, 2015
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
- 1390282680276706432
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- NII Article ID
- 130005068708
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- ISSN
- 18830617
- 18830609
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed