Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems

DOI10.1016/j.cam.2021.113969zbMath1480.65093OpenAlexW4200162047MaRDI QIDQ2068645

Yanyan Li

Publication date: 20 January 2022

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

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113969

zbMATH Keywords

randomized algorithmTikhonov regularizationlinear discrete ill-posed problemMTSVD

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Linear equations (linear algebraic aspects) (15A06)

Related Items (2)

A relaxed iterated Tikhonov regularization for linear ill-posed inverse problems ⋮ On greedy randomized block Gauss-Seidel method with averaging for sparse linear least-squares problems

Uses Software

• Regularization tools
• AIR tools
• Blendenpik
• ErresTools

Cites Work

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• Tikhonov Regularization and Randomized GSVD
• Regularization with randomized SVD for large-scale discrete inverse problems
• A modified truncated singular value decomposition method for discrete ill-posed problems
• Blendenpik: Supercharging LAPACK's Least-Squares Solver
• Randomized algorithms for large-scale inverse problems with general Tikhonov regularizations
• The Modified Truncated SVD Method for Regularization in General Form
• Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization

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