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Adaptive strategy for the damping parameters in an iteratively regularized Gauss-Newton method
Mid Sweden University.
1999 (English)In: Journal of Optimization Theory and Applications, ISSN 0022-3239, Vol. 100, no 1, 161-180 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, a convergence analysis of an adaptive choice of the sequence of damping parameters in the iteratively regularized Gauss�Newton method for solving nonlinear ill-posed operator equations is presented. The selection criterion is motivated from the damping parameter choice criteria, which are used for the efficient solution of nonlinear least-square problems. The performance of this selection criterion is tested for the solution of nonlinear ill-posed model problems.

Place, publisher, year, edition, pages
1999. Vol. 100, no 1, 161-180 p.
Keyword [en]
Nonlinear ill-posed problems - parameter identification - nonlinear least-square problems - iteratively regularized Gauss�Newton method
National Category
Mathematics
Identifiers
URN: urn:nbn:se:miun:diva-3804Local ID: 4394OAI: oai:DiVA.org:miun-3804DiVA: diva2:28836
Available from: 2008-09-30 Created: 2008-09-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
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