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Original Articles

Greedy Tikhonov regularization for large linear ill-posed problems

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Pages 1151-1166 | Received 30 Jan 2007, Accepted 13 Feb 2007, Published online: 28 Aug 2007

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Johana Guerrero, Marcos Raydan & Marielba Rojas. (2013) A hybrid-optimization method for large-scale non-negative full regularization in image restoration. Inverse Problems in Science and Engineering 21:5, pages 741-766.
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Andreas Kleefeld. (2011) Numerical results for linear Fredholm integral equations of the first kind over surfaces in three dimensions. International Journal of Computer Mathematics 88:13, pages 2728-2742.
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Articles from other publishers (6)

S Bellavia, M Donatelli & E Riccietti. (2020) An inexact non stationary Tikhonov procedure for large-scale nonlinear ill-posed problems. Inverse Problems 36:9, pages 095007.
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Okan Yurduseven, Jonah N. Gollub, Alec Rose, Daniel L. Marks & David R. Smith. (2016) Design and Simulation of a Frequency-Diverse Aperture for Imaging of Human-Scale Targets. IEEE Access 4, pages 5436-5451.
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Wen Liu & Chuansheng Wu. (2013) A predictor–corrector iterated Tikhonov regularization for linear ill-posed inverse problems. Applied Mathematics and Computation 221, pages 802-818.
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Marco Donatelli, Arthur Neuman & Lothar Reichel. (2012) Square regularization matrices for large linear discrete ill-posed problems. Numerical Linear Algebra with Applications 19:6, pages 896-913.
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Haiyong Liao, Fang Li & Michael K. Ng. (2009) Selection of regularization parameter in total variation image restoration. Journal of the Optical Society of America A 26:11, pages 2311.
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Xiaoliang Tang & Min Han. (2009) Partial Lanczos extreme learning machine for single-output regression problems. Neurocomputing 72:13-15, pages 3066-3076.
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