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An inexact Cayley transform method for inverse eigenvalue problems

Zheng-Jian Bai1, Raymond H Chan1 and Benedetta Morini2

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The Cayley transform method is a Newton-like method for solving inverse eigenvalue problems. If the problem is large, one can solve the Jacobian equation by iterative methods. However, iterative methods usually oversolve the problem in the sense that they require far more (inner) iterations than is required for the convergence of the Newton (outer) iterations. In this paper, we develop an inexact version of the Cayley transform method. Our method can reduce the oversolving problem and it improves the efficiency with respect to the exact version. We show that the convergence rate of our method is superlinear and that a good tradeoff between the required inner and outer iterations can be obtained.


PACS

02.30.Zz Inverse problems

02.10.Ud Linear algebra

02.60.Gf Algorithms for functional approximation

MSC

65F18 Inverse eigenvalue problems

65F10 Iterative methods for linear systems (See also 65N22)

Subjects

Mathematical physics

Computational physics

Dates

Issue 5 (October 2004)

Received 20 February 2004, in final form 8 July 2004

Published 16 August 2004



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