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 542 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, H.; Yousefi, M.: Preconditioned RRGMRES for discrete ill-posed problems (2018)
  3. Calvetti, D.; Pitolli, F.; Somersalo, E.; Vantaggi, B.: Bayes meets Krylov: statistically inspired preconditioners for CGLS (2018)
  4. Chung, Julianne; Saibaba, Arvind K.; Brown, Matthew; Westman, Erik: Efficient generalized Golub-Kahan based methods for dynamic inverse problems (2018)
  5. Da Silva, Nuno V.; Yao, Gang: Wavefield reconstruction inversion with a multiplicative cost function (2018)
  6. Novati, P.: A convergence result for some Krylov-Tikhonov methods in Hilbert spaces (2018)
  7. Pedram, Masoud; Esfandiari, Akbar; Khedmati, Mohammad Reza: Frequency domain damage detection of plate and shell structures by finite element model updating (2018)
  8. Zibetti, Marcelo V.W.; Lin, Chuan; Herman, Gabor T.: Total variation superiorized conjugate gradient method for image reconstruction (2018)
  9. Ahookhosh, Masoud; Neumaier, Arnold: Optimal subgradient algorithms for large-scale convex optimization in simple domains (2017)
  10. Arcucci, Rossella; D’Amore, Luisa; Pistoia, Jenny; Toumi, Ralf; Murli, Almerico: On the variational data assimilation problem solving and sensitivity analysis (2017)
  11. Bai, Zhong-Zhi; Buccini, Alessandro; Hayami, Ken; Reichel, Lothar; Yin, Jun-Feng; Zheng, Ning: Modulus-based iterative methods for constrained Tikhonov regularization (2017)
  12. Bentbib, A.H.; El Guide, M.; Jbilou, K.: The block Lanczos algorithm for linear ill-posed problems (2017)
  13. Bentbib, A.H.; El Guide, M.; Jbilou, K.; Reichel, L.: Global Golub-Kahan bidiagonalization applied to large discrete ill-posed problems (2017)
  14. Berntsson, F.; Kozlov, V.A.; Mpinganzima, L.; Turesson, B.O.: Iterative Tikhonov regularization for the Cauchy problem for the Helmholtz equation (2017)
  15. Callahan, Margaret; Calvetti, Daniela; Somersalo, Erkki: Beyond the model limit: parameter inference across scales (2017)
  16. Calvetti, D.; Pitolli, F.; Prezioso, J.; Somersalo, E.; Vantaggi, B.: Priorconditioned CGLS-based quasi-MAP estimate, statistical stopping rule, and ranking of priors (2017)
  17. Chávez, Carlos Eduardo; Alonso-Atienza, Felipe; Álvarez, Diego: The use of a simple model in the inverse characterization of cardiac ischemic regions (2017)
  18. Chung, Julianne; Chung, Matthias: Optimal regularized inverse matrices for inverse problems (2017)
  19. Chung, Julianne; Saibaba, Arvind K.: Generalized hybrid iterative methods for large-scale Bayesian inverse problems (2017)
  20. Chung, Matthias; Krueger, Justin; Pop, Mihai: Identification of microbiota dynamics using robust parameter estimation methods (2017)

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