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An algebraic domain decomposition algorithm for the vector finite-element analysis of 3D electromagnetic field problems

机译:一种用于3D电磁场问题的矢量有限元分析的代数域分解算法

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摘要

This Letter, proposes on algebraic domain decomposition algorithm (ADDA) to solve large sparse linear systems derived from the vector finite-element method (FEM) for 3D electromagnetic field problems. The proposed method segments the problem into several smaller pieces, solves each subproblem by direct methods, and then reassembles the subproblem solutions together to get the global result. Block LU factorization and multifrontal method are applied to solve each subproblem for the generation of the reduced system, and iterative methods are applied to solve the reduced system. It is shown that if combined with ADDA, biconjugate gradient method (BCG) converges more rapidly than the conjugate gradient method (CG), and both of them are faster than the conventional CG method. The simulation results demonstrate that the proposed algorithm can efficiently solve large and sparse linear equations arising from the finite-element method for the electromagnetic problems involving complex media such as perfectly matched layers (PMLs), which often make the linear equation ill-conditioned.
机译:这封信提出了代数域分解算法(ADDA),用于解决从矢量有限元方法(FEM)导出的大型稀疏线性系统中的3D电磁场问题。所提出的方法将问题分为几个小部分,通过直接方法解决每个子问题,然后将子问题解决方案重新组合在一起以获得全局结果。应用块LU分解和多前沿方法来解决简化系统生成中的每个子问题,并使用迭代方法来求解简化系统。结果表明,与ADDA结合使用时,双共轭梯度法(BCG)的收敛速度比共轭梯度法(CG)快,并且两者均比常规CG方法快。仿真结果表明,所提出的算法能够有效地解决由有限元方法引起的大型稀疏线性方程组,从而解决涉及复杂介质(如完美匹配层(PML))的电磁问题,这常常使线性方程组处于不良状态。

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