ICCM Conferences, The 7th International Conference on Computational Methods (ICCM2016)

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Keynote: The BDD-DIAG Preconditioner in Domain Decomposition Analysis for Magnetostatic Problems
Hiroshi Kanayama, Hongjie Zheng, Shin-ichiro Sugimoto, Masao Ogino

Last modified: 2016-06-01

Abstract


An iterative domain decomposition method is proposed for numerical analysis of three-dimensional 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 talk, we consider its improvement with the Balancing Domain Decomposition DIAGonal scaling (BDD-DIAG) preconditioner by the fourth author.


Keywords


Large-scale magnetostatic problems, HDDM, Preconditioning, Parallel computation

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