Quantitative Evaluation for Computational Cost of CG-FMM on Typical Wiregrid Models
スポンサーリンク
概要
- 論文の詳細を見る
The conjugate gradient-fast multipole method (CG-FMM) is one of the powerful methods for analysis of large-scale electromagnetic problems. It is also known that CPU time and computer memory can be reduced by CG-FMM but such computational cost of CG-FMM depends on shape and electrical properties of an analysis model. In this paper, relation between the number of multipoles and number of segments in each group is derived from dimension of segment arrangement in four typical wiregrid models. Based on the relation and numerical results for these typical models, the CPU time per iteration and computer memory are quantitatively discussed. In addition, the number of iteration steps, which is related to condition number of impedance matrix and analysis model, is also considered from a physical point of view.
論文 | ランダム
- Molecular Defects Associated with Antithrombin Deficiency and Dilated Cardiomyopathy in a Japanese Patient
- Recurrent Mutations of Factor XI Gene in Japanese
- Structural Organization and Promoter Activity of the Human Ryudocan Gene
- アキシャルギャップ形磁気減速機
- 有限要素法によるアンドロイド用同期モータの動特性解析