Regularization tools

Regularization Tools: A MATLAB package for Analysis and Solution of Discrete Ill-Posed Problems. Version 4.1. By means of the routines in this package, the user can experiment with different regularization strategies. The package also includes 12 test problems. Requires Matlab Version 7.3. The manual and more details can be found at pch/Regutools/

References in zbMATH (referenced in 433 articles , 3 standard articles )

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  1. Balu, R.; DeLillo, T.K.: Numerical methods for Riemann-Hilbert problems in multiply connected circle domains (2016)
  2. Bazán, Fermín S.V.; Kleefeld, Andreas; Leem, Koung Hee; Pelekanos, George: Sampling method based projection approach for the reconstruction of 3D acoustically penetrable scatterers (2016)
  3. Beck, Amir; Sabach, Shoham; Teboulle, Marc: An alternating semiproximal method for nonconvex regularized structured total least squares problems (2016)
  4. Bentbib, A.H.; El Guide, M.; Jbilou, K.; Reichel, L.: A global Lanczos method for image restoration (2016)
  5. De Asmundis, Roberta; di Serafino, Daniela; Landi, Germana: On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems (2016)
  6. Diao, Huai-An; Wei, Yimin; Qiao, Sanzheng: Structured condition numbers of structured Tikhonov regularization problem and their estimations (2016)
  7. Donatelli, Marco; Huckle, Thomas; Mazza, Mariarosa; Sesana, Debora: Image deblurring by sparsity constraint on the Fourier coefficients (2016)
  8. Duminil, Sébastien; Heyouni, Mohammed; Marion, Philippe; Sadok, Hassane: Algorithms for the CMRH method for dense linear systems (2016)
  9. Gazzola, Silvia; Onunwor, Enyinda; Reichel, Lothar; Rodriguez, Giuseppe: On the Lanczos and Golub-Kahan reduction methods applied to discrete ill-posed problems. (2016)
  10. Huang, Guangxin; Noschese, Silvia; Reichel, Lothar: Regularization matrices determined by matrix nearness problems (2016)
  11. Huang, Guangxin; Reichel, Lothar; Yin, Feng: Projected nonstationary iterated Tikhonov regularization (2016)
  12. Huang, Guangxin; Reichel, Lothar; Yin, Feng: On the choice of solution subspace for nonstationary iterated Tikhonov regularization (2016)
  13. Huan, Guoqiang; Li, Ying; Song, Zhanjie: A novel robust principal component analysis method for image and video processing. (2016)
  14. Landi, G.; Loli Piccolomini, E.; Tomba, I.: A stopping criterion for iterative regularization methods (2016)
  15. Liu, J.J.; Yamamoto, M.; Yan, L.L.: On the reconstruction of unknown time-dependent boundary sources for time fractional diffusion process by distributing measurement (2016)
  16. Mach, T.; Reichel, L.; Van Barel, M.; Vandebril, R.: Adaptive cross approximation for ill-posed problems (2016)
  17. Niinimäki, Kati; Lassas, Matti; Hämäläinen, Keijo; Kallonen, Aki; Kolehmainen, Ville; Niemi, Esa; Siltanen, Samuli: Multiresolution parameter choice method for total variation regularized tomography (2016)
  18. Noschese, Silvia; Reichel, Lothar: Some matrix nearness problems suggested by Tikhonov regularization (2016)
  19. Wei, Yimin; Xie, Pengpeng; Zhang, Liping: Tikhonov regularization and randomized GSVD (2016)
  20. Wen, YouWei; Chan, Raymond Honfu; Zeng, TieYong: Primal-dual algorithms for total variation based image restoration under Poisson noise (2016)

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