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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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Which circulant preconditioner is better?
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by V. V. Strela and E. E. Tyrtyshnikov PDF
Math. Comp. 65 (1996), 137-150 Request permission

Abstract:

The eigenvalue clustering of matrices $S_n^{-1}A_n$ and $C_n^{-1}A_n$ is experimentally studied, where $A_n$, $S_n$ and $C_n$ respectively are Toeplitz matrices, Strang, and optimal circulant preconditioners generated by the Fourier expansion of a function $f(x)$. Some illustrations are given to show how the clustering depends on the smoothness of $f(x)$ and which preconditioner is preferable. An original technique for experimental exploration of the clustering rate is presented. This technique is based on the bisection idea and on the Toeplitz decomposition of a three-matrix product $CAC$, where $A$ is a Toeplitz matrix and $C$ is a circulant. In particular, it is proved that the Toeplitz (displacement) rank of $CAC$ is not greater than 4, provided that $C$ and $A$ are symmetric.
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Additional Information
  • V. V. Strela
  • Affiliation: Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
  • Email: strela@math.mit.edu
  • E. E. Tyrtyshnikov
  • Affiliation: Institute of Numerical Mathematics, Russian Academy of Sciences, Leninskij Prosp., 32–A, 117334, Moscow, Russia
  • Email: tee@adonis.iasnet.com
  • Received by editor(s): December 28, 1993
  • Received by editor(s) in revised form: August 3, 1994
  • © Copyright 1996 American Mathematical Society
  • Journal: Math. Comp. 65 (1996), 137-150
  • MSC (1991): Primary 15A18, 15A57, 65F15; Secondary 42A16, 15A23
  • DOI: https://doi.org/10.1090/S0025-5718-96-00682-5
  • MathSciNet review: 1325875