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Expanding the applicability of Tikhonov's regularization and iterative approximation for ill-posed problems

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Published/Copyright: December 7, 2013

Abstract

Recently, Vasin [J. Inverse Ill-Posed Probl. 21 (2013), 109–123] considered a new iterative method for approximately solving nonlinear ill-posed operator equation in Hilbert spaces. In this paper we introduce a modified form of the method considered by Vasin. This paper weakens the conditions needed in the existing results. We use a center-type Lipschitz condition in our convergence analysis instead of a Lipschitz-type condition used in [J. Inverse Ill-Posed Probl. 21 (2013), 109–123]. This way a tighter convergence analysis is obtained and under less computational cost, since the more precise and easier to compute center-Lipschitz instead of the Lipschitz constant is used in the convergence analysis. Order optimal error bounds are given in case the regularization parameter is chosen a priori and by the adaptive method of Pereverzev and Schock [SIAM J. Numer. Anal. 43 (2005), 2060–2076]. A numerical example of a nonlinear integral equation proves the efficiency of the proposed method.

Funding source: Russia Federation Government

Award Identifier / Grant number: Agreement No. 11. G 34.31.0064

Funding source: Ural Branch of RAS

Award Identifier / Grant number: 12-P-15-2019

Funding source: RFBF

Award Identifier / Grant number: 12-01-00106

Received: 2013-4-5
Published Online: 2013-12-7
Published in Print: 2014-8-1

© 2014 by De Gruyter

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