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- W2126490917 abstract "Multigrid (MG) methods are known to be fast linear solvers for large-scale finite-element analyses. The Gauss-Seidel method is usually adopted as the smoother for MG methods. However, recently, considerable attention has focused on induced dimension reduction (IDR)-based solvers because they are faster. In this paper, we investigate the convergence of IDR-based solvers and evaluate the performance of an MG method with an adaptive IDR-based Jacobi smoother. Numerical results show that this method has good convergence and good efficiency in parallel computations for finite-element analysis of electromagnetic fields." @default.
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- W2126490917 date "2011-05-01" @default.
- W2126490917 modified "2023-09-24" @default.
- W2126490917 title "Multigrid Method With Adaptive IDR-Based Jacobi Smoother" @default.
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- W2126490917 doi "https://doi.org/10.1109/tmag.2010.2092754" @default.
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