On the Coarse Matrix Solver of Preconditioners for Magnetostatic Domain Decomposition Analysis
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- Kanayama Hiroshi
- Japan Women's University
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- Ogino Masao
- Nagoya University
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- Sugimoto Shin-ichiro
- Tokyo University of Science, Suwa
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- Yodo Kaworu
- Insight, Inc.
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- Zheng Hongjie
- Toyo University
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Description
<p>An iterative domain decomposition method is proposed for numerical analysis of 3-Dimensional (3D) linear magnetostatic problems taking the magnetic vector potential as an unknown function. The iterative domain decomposition method is combined with the Preconditioned Conjugate Gradient (PCG) procedure and the Hierarchical Domain Decomposition Method (HDDM) which is adopted in parallel computing. Our previously employed preconditioner was the Neumann-Neumann (NN) preconditioner. Numerical results showed that the method was only effective for smaller problems. In this paper, we consider its improvement with the Balancing Domain Decomposition DIAGonal scaling (BDD-DIAG) preconditioner. Specially, the coarse matrix solver is changed to an iterative solver for the first time.</p>
Journal
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- IEEJ Transactions on Power and Energy
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IEEJ Transactions on Power and Energy 137 (3), 179-185, 2017
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679577551104
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- NII Article ID
- 130005398442
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- NII Book ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL BIB ID
- 028034576
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed