Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems

DOI10.1016/j.cam.2019.02.005zbMath1441.65045OpenAlexW2913042323WikidataQ128417064 ScholiaQ128417064MaRDI QIDQ1989163

Alessandro Buccini, Yonggi Park, Lothar Reichel

Publication date: 24 April 2020

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11584/278184

zbMATH Keywords

Tikhonov regularizationdiscrepancy principlemodified discrepancy principle

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Iterative numerical methods for linear systems (65F10) Numerical methods for inverse problems for integral equations (65R32)

Related Items (3)

Residual whiteness principle for parameter-free image restoration ⋮ Corrigendum to: ``Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems ⋮ An efficient Gauss-Newton algorithm for solving regularized total least squares problems

Uses Software

• Regularization tools
• blgaussexp

Cites Work

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