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 455 articles , 3 standard articles )

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  1. Reem, Daniel; de Pierro, Alvaro: A new convergence analysis and perturbation resilience of some accelerated proximal forward-backward algorithms with errors (2017)
  2. Renaut, Rosemary A.; Vatankhah, Saeed; Ardestani, Vahid E.: Hybrid and iteratively reweighted regularization by unbiased predictive risk and weighted GCV for projected systems (2017)
  3. Zwaan, Ian N.; Hochstenbach, Michiel E.: Multidirectional subspace expansion for one-parameter and multiparameter Tikhonov regularization (2017)
  4. Abusag, Nadia M.; Chappell, David J.: On sparse reconstructions in near-field acoustic holography using the method of superposition (2016)
  5. Balu, R.; DeLillo, T.K.: Numerical methods for Riemann-Hilbert problems in multiply connected circle domains (2016)
  6. 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)
  7. Beck, Amir; Sabach, Shoham; Teboulle, Marc: An alternating semiproximal method for nonconvex regularized structured total least squares problems (2016)
  8. Bentbib, A.H.; El Guide, M.; Jbilou, K.; Reichel, L.: A global Lanczos method for image restoration (2016)
  9. Cakoni, Fioralba; de Teresa, Irene; Haddar, Houssem; Monk, Peter: Nondestructive testing of the delaminated interface between two materials (2016)
  10. 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)
  11. Diao, Huai-An; Wei, Yimin; Qiao, Sanzheng: Structured condition numbers of structured Tikhonov regularization problem and their estimations (2016)
  12. Donatelli, Marco; Huckle, Thomas; Mazza, Mariarosa; Sesana, Debora: Image deblurring by sparsity constraint on the Fourier coefficients (2016)
  13. Dong, Jun-Liang; Gao, Junbin; Ju, Fujiao; Shen, Jinghua: Modulus methods for nonnegatively constrained image restoration (2016)
  14. Duminil, Sébastien; Heyouni, Mohammed; Marion, Philippe; Sadok, Hassane: Algorithms for the CMRH method for dense linear systems (2016)
  15. Fox, Colin; Norton, Richard A.: Fast sampling in a linear-Gaussian inverse problem (2016)
  16. Gazzola, Silvia; Novati, Paolo: Inheritance of the discrete Picard condition in Krylov subspace methods (2016)
  17. Gazzola, Silvia; Onunwor, Enyinda; Reichel, Lothar; Rodriguez, Giuseppe: On the Lanczos and Golub-Kahan reduction methods applied to discrete ill-posed problems. (2016)
  18. Gazzola, Silvia; Reichel, Lothar: A new framework for multi-parameter regularization (2016)
  19. Goza, Andres; Liska, Sebastian; Morley, Benjamin; Colonius, Tim: Accurate computation of surface stresses and forces with immersed boundary methods (2016)
  20. Huang, Guangxin; Noschese, Silvia; Reichel, Lothar: Regularization matrices determined by matrix nearness problems (2016)

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