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Numerische Mathematik

, Volume 66, Issue 1, pp 215–233 | Cite as

A generalized ADI iterative method

  • N. Levenberg
  • L. Reichel
Article

Summary

The ADI iterative method for the solution of Sylvester's equationAX−XB=C proceeds by strictly alternating between the solution of the two equations
$$\begin{gathered} \left( {A - \delta _{k + 1} I} \right)X_{2k + 1} = X_{2k} \left( {B - \delta _{k + 1} I} \right) + C, \hfill \\ X_{2k + 2} \left( {B - \tau _{k + 1} I} \right) = \left( {A - \tau _{k + 1} I} \right)X_{2k + 1} - C, \hfill \\ \end{gathered} $$
fork=0, 1, 2,... HereXo is a given initial approximate solution, and the δ k andτ k are real or complex parameters chosen so that the computed approximate solutionsX k converge rapidly to the solutionX of the Sylvester equation ask increases. This paper discusses the possibility of solving one of the equations in the ADI iterative method more often than the other one, i.e., relaxing the strict alternation requirement, in order to achieve a higher rate of convergence. Our analysis based on potential theory shows that this generalization of the ADI iterative method can give faster convergence than when strict alternation is required.

Mathematics Subject Classification (1991)

65F10 

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Copyright information

© Springer-Verlag 1993

Authors and Affiliations

  • N. Levenberg
    • 1
  • L. Reichel
    • 2
  1. 1.Department of Mathematics and StatisticsUniversity of AucklandAucklandNew Zealand
  2. 2.Department of Mathematics and Computer ScienceKent State UniverswityKentUSA

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