On deflation and singular symmetric positive semi-definite matrices

被引:17
|
作者
Tang, J. M. [1 ]
Vuik, C. [1 ]
机构
[1] Delft Univ Technol, Delft Inst Appl Math, Fac Elect Engn Math & Comp Sci, NL-2628 CD Delft, Netherlands
关键词
deflation; conjugate gradient method; preconditioning; Poisson equation; spectral analysis; singular symmetric positive semi-definite matrices;
D O I
10.1016/j.cam.2006.08.015
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
For various applications, it is well-known that the deflated ICCG is an efficient method for solving linear systems with invertible coefficient matrix. We propose two equivalent variants of this deflated ICCG which can also solve linear systems with singular coefficient matrix, arising from discretization of the discontinuous Poisson equation with Neumann boundary conditions. It is demonstrated both theoretically and numerically that the resulting methods accelerate the convergence of the iterative process. Moreover, in practice the singular coefficient matrix has often been made invertible by modifying the last element, since this can be advantageous for the solver. However, the drawback is that the condition number becomes worse-conditioned. We show that this problem can completely be remedied by applying the deflation technique with just one deflation vector. (C) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:603 / 614
页数:12
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