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Multilevel sparse approximate inverse preconditioning for solving dynamic integral equation by H-matrix method

机译:H矩阵法解决动态整体方程的多级稀疏近似反向预处理

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A novel sparse approximate inverse (SAI) preconditioner in multilevel fashion is proposed to accelerate the convergence rate of Krylov iterations for solving 3D electromagnetic scattering by integral equation. This multilevel formatted preconditioning is derived from the hierarchical data structure of hierarchical (H-) matrix, which overcomes the construction restrict of conventional SAI preconditioner combined with popular fast algorithms like multilevel fast multipole algorithm (MLFMA). Numerical experiments have demonstrated that this proposed preconditioner has a good property, can achieve fast convergence even for very complex structures.
机译:提出了一种以多级方式的稀疏近似逆(SAI)预处理器,用于加速Krylov迭代的收敛速率来解决积分方程的求解3D电磁散射。该多级格式化预处理来自分层(H-)矩阵的分层数据结构,其克服了传统SAI预处理器的构建限制与流行的快速算法(如多级快速多极算法(MLFMA)相结合。数值实验表明,该拟议的预处理器具有良好的性质,即使对于非常复杂的结构,也可以实现快速收敛。

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