arXiv:2011.09893 [math.NA]AbstractReferencesReviewsResources
Regularization of systems of nonlinear ill-posed equations: I. Convergence Analysis
M. Haltmeier, A. Leitao, O. Scherzer
Published 2020-11-19Version 1
In this article we develop and analyze novel iterative regularization techniques for the solution of systems of nonlinear ill--posed operator equations. The basic idea consists in considering separately each equation of this system and incorporating a loping strategy. The first technique is a Kaczmarz-type method, equipped with a novel stopping criteria. The second method is obtained using an embedding strategy, and again a Kaczmarz-type approach. We prove well-posedness, stability and convergence of both methods.
Comments: 11 pages, 1 figure
Journal: Inverse Problems and Imaging 1 (2007), no. 2, 289-298
Keywords: nonlinear ill-posed equations, convergence analysis, analyze novel iterative regularization techniques, nonlinear ill-posed operator equations, basic idea consists
Tags: journal article
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