A unifying approach to the construction of circulant preconditioners

被引:15
作者
Oseledets, Ivan [1 ]
Tyrtyshnikov, Eugene [1 ]
机构
[1] Russian Acad Sci, Inst Numer Math, Moscow 119991, Russia
基金
俄罗斯基础研究基金会;
关键词
matrix approximations; preconditioners; superlinear convergence; circulants; Toeplitz matrices; low-rank matrices; skeleton decomposition; spectral clusters; spectral distributions;
D O I
10.1016/j.laa.2006.02.037
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The main result is the "black dot algorithm" and its fast version for the construction of a new circulant preconditioner for Toeplitz matrices. This new preconditioner C is sought directly as a solution to one of possible settings of the approximation problem A approximate to C + R, where A is a given matrix and R should be a "low-rank" matrix. This very problem is a key to the analysis of superlinear convergence properties of already established circulant and other matrix-algebra preconditioners. In this regard, our new preconditioner is likely to be the best of all possible circulant preconditioners. Moreover, in contrast to several "function-based" circulant preconditioners used for "bad" symbols, it is constructed entirely from the entries of a given matrix and performs equally as the best of the known or better than those for the same symbols. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:435 / 449
页数:15
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