A parameter optimization technique for a weighted Jacobi-type preconditioner
スポンサーリンク
概要
- 論文の詳細を見る
The Jacobi preconditioner is well known as a preconditioner with high parallel efficiency to solve very large linear systems. However, the Jacobi preconditioner does not always show the great improvement of the convergence rate, because of the poor convergence property of the Jacobi method. In this paper, in order to improve the quality of the Jacobi preconditioner without loss its parallel efficiency, we introduce a weighted Jacobi-type preconditioner, and propose an optimization technique for the weight parameter. The numerical experiments indicate that the proposed preconditioner has higher quality and is more efficient than the traditional Jacobi preconditioner.
- The Japan Society for Industrial and Applied Mathematicsの論文
著者
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SAKURAI Tetsuya
University of Tsukuba
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Sumiyoshi Kohsuke
Numazu Coll. Technol. Numazu Jpn
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Matsufuru Hideo
High Energy Accelerator Research Organization
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Imakura Akira
University of Tsukuba
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