A double regularization approach for inverse problems with noisy data and inexact operator

DOI10.1088/0266-5611/29/2/025004zbMath1266.47026OpenAlexW2036828252MaRDI QIDQ4917597

Ronny Ramlau, Ismael Rodrigo Bleyer

Publication date: 2 May 2013

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0266-5611/29/2/025004

zbMATH Keywords

waveletsconvergenceconvergence ratesbilinear operatorsTikhonov regularizationnonlinear ill-posed problemstotal least squaressparsityBregman distancepenalty functional

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52) Applications of operator theory in numerical analysis (47N40)

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