Old and new parameter choice rules for discrete ill-posed problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/content/pdf/10.1007/s11075-012-9612-8.pdf
Reference44 articles.
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3. Bauer, F., Lukas, M.A.: Comparing parameter choice methods for regularization of ill-posed problem. Math. Comput. Simul. 81, 1795–1841 (2011)
4. Bauer, F., Reiß, M.: Regularization independent of the noise-level: an analysis of quasi-optimality. Inverse Probl. 24, 055009 (16 pp) (2008)
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