首页> 外文会议>2011 16th International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory >ACA method and SPAI preconditioner for acceleration BICGSTAB solver in MoM based solver TriD
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ACA method and SPAI preconditioner for acceleration BICGSTAB solver in MoM based solver TriD

机译:基于MoM的求解器TriD中用于加速BICGSTAB求解器的ACA方法和SPAI预处理器

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In this paper effective acceleration technique for solving of electrically large EMC problems is described. It is known that for solving of large linear systems iterative solvers are very practical. The main problems for solution of such problems are related to large memory requirement for matrix and poor convergence of iterative solver. For solution of these problems the following techniques are applied: ACA (Adaptive Cross Approximation) technique for matrix compression and SPAI (Sparse Approximate Inverse) preconditioner to speed up convergence of iterative solver. For solving linear system BICGSTAB (Biconjugate Gradient Stabilised) solver is used. The advantages of considered solution are demonstrated using several numerical experiments.
机译:在本文中,描述了用于解决电气大的EMC问题的有效加速技术。众所周知,对于求解大型线性系统,迭代求解器非常实用。解决这些问题的主要问题与矩阵的内存需求大和迭代求解器的收敛性差有关。为了解决这些问题,应用了以下技术:用于矩阵压缩的ACA(自适应交叉近似)技术和SPAI(稀疏近似逆)预处理器,以加快迭代求解器的收敛速度。为了求解线性系统,使用BICGSTAB(双共轭梯度稳定)求解器。考虑的解决方案的优点已通过几个数值实验得到了证明。

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