Startseite Complexity analysis of the iteratively regularized Gauss–Newton method with inner CG-iteration
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Complexity analysis of the iteratively regularized Gauss–Newton method with inner CG-iteration

  • S. Langer
Veröffentlicht/Copyright: 26. Januar 2010
Journal of Inverse and Ill-posed Problems
Aus der Zeitschrift Band 17 Heft 9

Abstract

In this paper we investigate the numerical complexity to solve nonlinear ill-posed problems when the operator equations F(x) = yδ are solved by the iteratively regularized Gauss–Newton method (IRGNM) with inner CG-iteration. Additionally we consider a preconditioned version of the IRGNM and compare the complexity of the standard IRGNM and its preconditioned version. In the case of exponentially ill-posed problems we show the superiority of the preconditioned IRGNM, that is we prove that the preconditioning techniques presented in this paper yield a significant reduction of the total complexity.

Received: 2009-04-07
Published Online: 2010-01-26
Published in Print: 2009-December

© de Gruyter 2009

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