Projected Newton method for noise constrained Tikhonov regularization

DOI10.1088/1361-6420/ab7d2bOpenAlexW3009078770MaRDI QIDQ5000596

Nick Schenkels, Wim Vanroose, Jeffrey Cornelis

Publication date: 14 July 2021

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

Full work available at URL: https://arxiv.org/abs/1910.08432

zbMATH Keywords

Newton methodTikhonov regularizationdiscrepancy principleKrylov subspacebidiagonalization

Mathematics Subject Classification ID

Numerical linear algebra (65Fxx) Numerical analysis (65-XX) Communication, information (94Axx) Numerical methods for integral equations, integral transforms (65Rxx) Numerical analysis in abstract spaces (65Jxx)

Related Items (2)

A majorization-minimization Golub-Kahan bidiagonalization method for \(\ell_2-\ell_q\) mimimization with applications in image restorization ⋮ Projected Newton method for noise constrained ℓ _p regularization

Uses Software

• LSQR
• Regularization tools
• SparseMatrix
• PDCO
• AIR tools
• ASTRA
• IR Tools
• CRAIG

Cites Work

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