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 550 articles , 3 standard articles )

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  1. Ahmed, Elyes; Abda, Amel Ben: The sub-Cauchy-Stokes problem: solvability issues and Lagrange multiplier methods with artificial boundary conditions (2018)
  2. Aminikhah, Hossein; Yousefi, Mahsa: A special generalized HSS method for discrete ill-posed problems (2018)
  3. Aminikhah, H.; Yousefi, M.: Preconditioned RRGMRES for discrete ill-posed problems (2018)
  4. Calvetti, D.; Pitolli, F.; Somersalo, E.; Vantaggi, B.: Bayes meets Krylov: statistically inspired preconditioners for CGLS (2018)
  5. Chung, Julianne; Saibaba, Arvind K.; Brown, Matthew; Westman, Erik: Efficient generalized Golub-Kahan based methods for dynamic inverse problems (2018)
  6. Da Silva, Nuno V.; Yao, Gang: Wavefield reconstruction inversion with a multiplicative cost function (2018)
  7. Deif, Sarah A.; Grace, Said R.: Fast iterative refinement method for mixed systems of integral and fractional integro-differential equations (2018)
  8. Jia, Zhongxiao; Yang, Yanfei: Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization^* (2018)
  9. Novati, P.: A convergence result for some Krylov-Tikhonov methods in Hilbert spaces (2018)
  10. Park, Y.; Reichel, L.; Rodriguez, G.; Yu, X.: Parameter determination for Tikhonov regularization problems in general form (2018)
  11. Pedram, Masoud; Esfandiari, Akbar; Khedmati, Mohammad Reza: Frequency domain damage detection of plate and shell structures by finite element model updating (2018)
  12. Reddy, G. D.: The parameter choice rules for weighted Tikhonov regularization scheme (2018)
  13. Xu, Li; Liu, Jiayi; Zhang, Guang: Pattern formation and parameter inversion for a discrete Lotka-Volterra cooperative system (2018)
  14. Yang, Meijia; Xia, Yong; Wang, Jiulin; Peng, Jiming: Efficiently solving total least squares with Tikhonov identical regularization (2018)
  15. Zibetti, Marcelo V. W.; Lin, Chuan; Herman, Gabor T.: Total variation superiorized conjugate gradient method for image reconstruction (2018)
  16. Ahookhosh, Masoud; Neumaier, Arnold: Optimal subgradient algorithms for large-scale convex optimization in simple domains (2017)
  17. Arcucci, Rossella; D’Amore, Luisa; Pistoia, Jenny; Toumi, Ralf; Murli, Almerico: On the variational data assimilation problem solving and sensitivity analysis (2017)
  18. Bai, Zhong-Zhi; Buccini, Alessandro; Hayami, Ken; Reichel, Lothar; Yin, Jun-Feng; Zheng, Ning: Modulus-based iterative methods for constrained Tikhonov regularization (2017)
  19. Bentbib, A. H.; El Guide, M.; Jbilou, K.: The block Lanczos algorithm for linear ill-posed problems (2017)
  20. Bentbib, A. H.; El Guide, M.; Jbilou, K.; Reichel, L.: Global Golub-Kahan bidiagonalization applied to large discrete ill-posed problems (2017)

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