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 http://www2.imm.dtu.dk/ pch/Regutools/


References in zbMATH (referenced in 744 articles , 3 standard articles )

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  1. Buccini, Alessandro: Fast alternating direction multipliers method by generalized Krylov subspaces (2022)
  2. Huang, Guangxin; Liu, Yuanyuan; Yin, Feng: Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems (2022)
  3. Jin, Bangti; Zhou, Zehui; Zou, Jun: An analysis of stochastic variance reduced gradient for linear inverse problems (2022)
  4. Li, Hailong; Ding, Liang: Generalized conditional gradient method for elastic-net regularization (2022)
  5. Li, Junpu; Fu, Zhuojia; Gu, Yan; Qin, Qing-Hua: Recent advances and emerging applications of the singular boundary method for large-scale and high-frequency computational acoustics (2022)
  6. Luo, Xin-long; Xiao, Hang; Lv, Jia-hui: Continuation Newton methods with the residual trust-region time-stepping scheme for nonlinear equations (2022)
  7. Reichel, Lothar; Ugwu, Ugochukwu O.: Tensor Arnoldi-Tikhonov and GMRES-type methods for ill-posed problems with a t-product structure (2022)
  8. Alavi, Javad; Aminikhah, Hossein: Numerical study of the inverse problem of generalized Burgers-Fisher and generalized Burgers-Huxley equations (2021)
  9. Bai, Xianglan; Buccini, Alessandro; Reichel, Lothar: Golub-Kahan vs. Monte Carlo: a comparison of bidiagonlization and a randomized SVD method for the solution of linear discrete ill-posed problems (2021)
  10. 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)
  11. Beik, F. P. A.; El Ichi, A.; Jbilou, K.; Sadaka, R.: Tensor extrapolation methods with applications (2021)
  12. Benyoucef, Abir; Alem, Leïla; Chorfi, Lahcène: Numerical method for solving inverse source problem for Poisson equation (2021)
  13. Buccini, Alessandro; Pasha, Mirjeta; Reichel, Lothar: Linearized Krylov subspace Bregman iteration with nonnegativity constraint (2021)
  14. Buccini, Alessandro; Reichel, Lothar: Generalized cross validation for (\ell^p)-(\ell^q) minimization (2021)
  15. Cen, Xiaoli; Xia, Yong; Yang, Meijia: Semidefinite relaxation for the total least squares problem with Tikhonov-like regularization (2021)
  16. 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)
  17. Cho, Taewon; Chung, Julianne; Jiang, Jiahua: Hybrid projection methods for large-scale inverse problems with mixed Gaussian priors (2021)
  18. Cipolla, Stefano; Donatelli, Marco; Durastante, Fabio: Regularization of inverse problems by an approximate matrix-function technique (2021)
  19. DeLillo, T. K.; Mears, J.; Silva-Trujillo, A.: Potential flow in a multiply connected circle domain using series methods (2021)
  20. De Loera, Jesús A.; Haddock, Jamie; Ma, Anna; Needell, Deanna: Data-driven algorithm selection and tuning in optimization and signal processing (2021)

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