Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates

DOI10.1137/100784369zbMath1215.65100arXiv1001.5346OpenAlexW1993692881MaRDI QIDQ5392407

Bangti Jin, Dirk A. Lorenz

Publication date: 11 April 2011

Published in: SIAM Journal on Numerical Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1001.5346

zbMATH Keywords

inverse problemnoisy dataill-posed problemBregman distanceconvex regularizationHanke-Raus ruleheuristic parameter choice

Mathematics Subject Classification ID

Numerical solutions to equations with linear operators (65J10) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Inverse problems in optimal control (49N45) Numerical solution to inverse problems in abstract spaces (65J22)

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Uses Software

• Regularization tools

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