A new alternating positive semidefinite splitting preconditioner for saddle point problems from time-harmonic eddy current models

被引:0
作者
Yifen Ke
Changfeng Ma
Zhiru Ren
机构
[1] University of Chinese Academy of Sciences,Key Laboratory of Computational Geodynamics of Chinese Academy of Sciences
[2] Fujian Normal University,College of Mathematics and Informatics & FJKLMAA
[3] Central University of Finance and Economics,School of Statistics and Mathematics
来源
Frontiers of Mathematics in China | 2018年 / 13卷
关键词
Time-harmonic eddy current problem; saddle point problem; alternating positive semidefinite splitting (APSS); convergence analysis; preconditioner; iteration method; 65F08; 65F10; 65F50;
D O I
暂无
中图分类号
学科分类号
摘要
Based on the special positive semidefinite splittings of the saddle point matrix, we propose a new alternating positive semidefinite splitting (APSS) iteration method for the saddle point problem arising from the finite element discretization of the hybrid formulation of the time-harmonic eddy current problem. We prove that the new APSS iteration method is unconditionally convergent for both cases of the simple topology and the general topology. The new APSS matrix can be used as a preconditioner to accelerate the convergence rate of Krylov subspace methods. Numerical results show that the new APSS preconditioner is superior to the existing preconditioners.
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页码:313 / 340
页数:27
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