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A relation of preconditioners for magnetostatic domain decomposition analysis

机译:静静压域分解分析的前提者的关系

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A relation of preconditioners of domain decomposition method is shown for numerical analysis of 3-Dimensional (3D) 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 small number subdomain problems. In this paper, we consider its improvement making use of the Balancing Domain Decomposition DIAGonal scaling (BDD-DIAG) preconditioner and show the asymptotic equivalence between BDD-DIAG and the simplified diagonal scaling (diag) preconditioner, which is derived from the following numerical evidences. Finally, nonlinear processing is also tried for the first time.
机译:示出了域分解方法的预处理器的关系,用于将磁矢量电位作为未知功能的三维(3D)静静压问题的数值分析。 迭代域分解方法与预处理的共轭梯度(PCG)程序组合,并在并行计算中采用的分层域分解方法(HDDM)。 我们以前所雇用的预处理器是Neumann-Neumann(NN)预处理者。 数值结果表明,该方法仅对少数子域问题有效。 在本文中,我们考虑使用平衡域分解对角线缩放(BDD-DIAG)预处理器的改进,并显示了BDD-DIAG和简化对角线缩放(DIAG)预处理器之间的渐近等效,这是从以下数值证据导出的 。 最后,也是第一次尝试了非线性处理。

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