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The principle of penalized empirical risk in severely ill-posed problems

200425 citationsJournal Articlebronze Open Access

Authors

Yu. Golubev · Aix-Marseille Université

Topics & Keywords

Numerical methods in inverse problems Medical Imaging Techniques and Applications Mathematical Analysis and Transform Methods

Publication Details

Published in: Probability Theory and Related Fields

Volume 130, Issue 1, pp. 18-38

DOI: 10.1007/s00440-004-0362-y

Field-Weighted Citation Impact: 1.31

The principle of penalized empirical risk in severely ill-posed problems | Researchclopedia