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Original Articles

New rule for choice of the regularization parameter in (iterated) tikhonov method

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Pages 187-198 | Received 16 Oct 2008, Published online: 14 Oct 2010

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Read on this site (2)

U. Hämarik, R. Palm & T. Raus. (2010) Extrapolation of Tikhonov regularization method. Mathematical Modelling and Analysis 15:1, pages 55-68.
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U. Hämarik, R. Palm & T. Raus. (2009) On Minimization Strategies for Choice of the Regularization Parameter in Ill-Posed Problems. Numerical Functional Analysis and Optimization 30:9-10, pages 924-950.
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Articles from other publishers (10)

Toomas Raus & Uno Hämarik. (2020) Q-Curve and Area Rules for Choosing Heuristic Parameter in Tikhonov Regularization. Mathematics 8:7, pages 1166.
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Toomas Raus & Uno Hämarik. 2018. New Trends in Parameter Identification for Mathematical Models. New Trends in Parameter Identification for Mathematical Models 227 244 .
Uno Hämarik. On comparison of accuracy of approximate solutions of operator equations with noisy data. On comparison of accuracy of approximate solutions of operator equations with noisy data.
Frank Bauer, Martin Gutting & Mark A. Lukas. 2015. Handbook of Geomathematics. Handbook of Geomathematics 1713 1774 .
Wen Liu & Chuansheng Wu. (2013) A predictor–corrector iterated Tikhonov regularization for linear ill-posed inverse problems. Applied Mathematics and Computation 221, pages 802-818.
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Frank Bauer, Martin Gutting & Mark A. Lukas. 2020. Handbook of Geomathematics. Handbook of Geomathematics 1 55 .
Uno Hämarik, Reimo Palm & Toomas Raus. (2012) A family of rules for parameter choice in Tikhonov regularization of ill-posed problems with inexact noise level. Journal of Computational and Applied Mathematics 236:8, pages 2146-2157.
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Toomas Raus & Uno Hämarik. (2011) On the quasi-optimal rules for the choice of the regularization parameter in case of a noisy operator. Advances in Computational Mathematics 36:2, pages 221-233.
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Frank Bauer & Mark A. Lukas. (2011) Comparingparameter choice methods for regularization of ill-posed problems. Mathematics and Computers in Simulation 81:9, pages 1795-1841.
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Uno Hämarik, Reimo Palm & Toomas Raus. (2010) Comparison of parameter choices in regularization algorithms in case of different information about noise level. Calcolo 48:1, pages 47-59.
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