A large-scale magnetostatic analysis using an iterative domain decomposition method based on the minimal residual method

作者：Ogino Masao^*; Sugimoto Shin Ichiro; Terada Seigo; Bao Yanqing; Kanayama Hiroshi

来源：Journal of Advanced Computational Intelligence and Intelligent Informatics, 2012, 16(4): 496-502.

• Computation time
• Conjugate gradient
• Convergence rates
• Interface problems
• Large-scale problem
• Magneto-Static analysis
• Magnetostatic problem
• Minimal residual methods
• Residual method
• Stable convergence

This paper describes a large-scale 3D magnetostatic analysis using the Domain Decomposition Method (DDM). To improve the convergence of the interface problem of DDM, a DDM approach based on the Conjugate Residual (CR) method or the MINimal RESidual (MINRES) method is proposed. The CR or MINRES method improved the convergence rate and showed more stable convergence behavior in solving the interface problem than the Conjugate Gradient (CG) method, and reduced computation time for a large-scale problem with about 10 million degrees of freedom.

• 出版日期2012