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Adaptive strategy for the damping parameters in an iteratively regularized Gauss-Newton method
Umeå University, Faculty of Science and Technology, Departement of Computing Science.
1999 (English)In: Journal of Optimization Theory and Applications, 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.
URN: urn:nbn:se:umu:diva-21973ISBN: 0022-3239OAI: diva2:212236
Available from: 2009-04-21 Created: 2009-04-21 Last updated: 2009-04-21

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