Regularization Parameter Selection in Discrete Ill-Posed Problems — The Use of the U-Curve

Author:

Krawczyk-Stańdo Dorota,Rudnicki Marek

Abstract

Regularization Parameter Selection in Discrete Ill-Posed Problems — The Use of the U-CurveTo obtain smooth solutions to ill-posed problems, the standard Tikhonov regularization method is most often used. For the practical choice of the regularization parameter α we can then employ the well-known L-curve criterion, based on the L-curve which is a plot of the norm of the regularized solution versus the norm of the corresponding residual for all valid regularization parameters. This paper proposes a new criterion for choosing the regularization parameter α, based on the so-called U-curve. A comparison of the two methods made on numerical examples is additionally included.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference10 articles.

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2. The use of the L-curve in the regularization of discrete ill- posed problems;P. Hansen;SIAM J. Sci. Comput.,1993

3. Hansen P.C. (1993): Regularization Tools, a Matlab package for analysis and solution of discrete ill-posed problems. — Report UNIC-92-03

4. Regularized synthesis of the magnetic field using the L-curve approach;D. Krawczyk-Stańdo;Int. J. Appl. Electromagnet. Mech.,2005

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