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 624 articles , 3 standard articles )

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  1. Cheng, Jin; Ke, Yufei; Wei, Ting: The backward problem of parabolic equations with the measurements on a discrete set (2020)
  2. Kindermann, Stefan; Raik, Kemal: A simplified L-curve method as error estimator (2020)
  3. Mohammady, Somaieh; Eslahchi, M. R.: Extension of Tikhonov regularization method using linear fractional programming (2020)
  4. Radmanesh, Mehdi; Ebadi, M. J.: A local mesh-less collocation method for solving a class of time-dependent fractional integral equations: 2D fractional evolution equation (2020)
  5. Wang, Fajie; Fan, Chia-Ming; Hua, Qingsong; Gu, Yan: Localized MFS for the inverse Cauchy problems of two-dimensional Laplace and biharmonic equations (2020)
  6. Ayala, Alan; Claeys, Xavier; Grigori, Laura: ALORA: affine low-rank approximations (2019)
  7. Che, Maolin; Wei, Yimin: Randomized algorithms for the approximations of Tucker and the tensor train decompositions (2019)
  8. Chung, Julianne; Gazzola, Silvia: Flexible Krylov methods for (\ell_p) regularization (2019)
  9. Ding, Liang; Han, Weimin: (\alpha\ell_1-\beta\ell_2) regularization for sparse recovery (2019)
  10. Dong, Yiqiu; Hansen, Per Christian; Hochstenbach, Michiel E.; Brogaard Riis, Nicolai André: Fixing nonconvergence of algebraic iterative reconstruction with an unmatched backprojector (2019)
  11. Fung, Samy Wu; Ruthotto, Lars: An uncertainty-weighted asynchronous ADMM method for parallel PDE parameter estimation (2019)
  12. Gazzola, Silvia; Hansen, Per Christian; Nagy, James G.: IR tools: a MATLAB package of iterative regularization methods and large-scale test problems (2019)
  13. Gazzola, Silvia; Noschese, Silvia; Novati, Paolo; Reichel, Lothar: Arnoldi decomposition, GMRES, and preconditioning for linear discrete ill-posed problems (2019)
  14. Gazzola, Silvia; Sabaté Landman, Malena: Flexible GMRES for total variation regularization (2019)
  15. Gerth, Daniel: Using Landweber iteration to quantify source conditions - a numerical study (2019)
  16. Haddock, Jamie; Needell, Deanna: Randomized projection methods for Linear systems with arbitrarily large sparse corruptions (2019)
  17. Hämarik, Uno; Kangro, Urve; Kindermann, Stefan; Raik, Kemal: Semi-heuristic parameter choice rules for Tikhonov regularisation with operator perturbations (2019)
  18. Hansen, Per Christian; Dong, Yiqiu; Abe, Kuniyoshi: Hybrid enriched bidiagonalization for discrete ill-posed problems. (2019)
  19. Haußer, Frank; Luchko, Yuri: Mathematical modelling with MATLAB and Octave. A practice-oriented introduction (2019)
  20. Hernandez-Montero, Eduardo; Fraguela-Collar, Andres; Henry, Jacques: An optimal quasi solution for the Cauchy problem for Laplace equation in the framework of inverse ECG (2019)

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