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 725 articles , 3 standard articles )

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  1. Bai, Xianglan; Huang, Guang-Xin; Lei, Xiao-Jun; Reichel, Lothar; Yin, Feng: A novel modified TRSVD method for large-scale linear discrete ill-posed problems (2021)
  2. Beik, F. P. A.; El Ichi, A.; Jbilou, K.; Sadaka, R.: Tensor extrapolation methods with applications (2021)
  3. Buccini, Alessandro; Pasha, Mirjeta; Reichel, Lothar: Linearized Krylov subspace Bregman iteration with nonnegativity constraint (2021)
  4. Cen, Xiaoli; Xia, Yong; Yang, Meijia: Semidefinite relaxation for the total least squares problem with Tikhonov-like regularization (2021)
  5. Chen, Xiaotong; Herring, James L.; Nagy, James G.; Xi, Yuanzhe; Yu, Bo: An ADMM-LAP method for total variation myopic deconvolution of adaptive optics retinal images (2021)
  6. Cho, Taewon; Chung, Julianne; Jiang, Jiahua: Hybrid projection methods for large-scale inverse problems with mixed Gaussian priors (2021)
  7. Cipolla, Stefano; Donatelli, Marco; Durastante, Fabio: Regularization of inverse problems by an approximate matrix-function technique (2021)
  8. DeLillo, T. K.; Mears, J.; Silva-Trujillo, A.: Potential flow in a multiply connected circle domain using series methods (2021)
  9. De Loera, Jesús A.; Haddock, Jamie; Ma, Anna; Needell, Deanna: Data-driven algorithm selection and tuning in optimization and signal processing (2021)
  10. Duan, Shuyong; Yang, Botao; Wang, Fang; Liu, Guirong: Determination of singular value truncation threshold for regularization in ill-posed problems (2021)
  11. El Guide, Mohamed; El Ichi, Alaa; Jbilou, Khalide; Sadaka, Rachid: On tensor GMRES and Golub-Kahan methods via the T-product for color image processing (2021)
  12. Gazzola, Silvia; Nagy, James G.; Sabaté Landman, Malena: Iteratively reweighted FGMRES and FLSQR for sparse reconstruction (2021)
  13. Gerth, Daniel: A new interpretation of (Tikhonov) regularization (2021)
  14. Hu, Yuqing: Integral equation method for inverse scattering problem from the far-field data (2021)
  15. Jahn, Tim: A modified discrepancy principle to attain optimal convergence rates under unknown noise (2021)
  16. Jiang, Jiahua; Chung, Julianne; de Sturler, Eric: Hybrid projection methods with recycling for inverse problems (2021)
  17. Jiang, Jiahua; Chung, Julianne; de Sturler, Eric: Hybrid projection methods with recycling for inverse problems (2021)
  18. Jorge Barrasa-Fano, Apeksha Shapeti, Álvaro Jorge-Peñas, Mojtaba Barzegari, José Antonio Sanz-Herrera, Hans Van Oosterwyck: TFMLAB: A MATLAB toolbox for 4D traction force microscopy (2021) not zbMATH
  19. Kang, Chuan-gang; Zhou, Heng: The extensions of convergence rates of Kaczmarz-type methods (2021)
  20. Li, Junpu; Gu, Yan; Qin, Qing-Hua; Zhang, Lan: The rapid assessment for three-dimensional potential model of large-scale particle system by a modified multilevel fast multipole algorithm (2021)

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