References in zbMATH (referenced in 14 articles , 1 standard article )

Showing results 1 to 14 of 14.
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  1. Koukouvinos, Christos; Lappa, Angeliki; Mitrouli, Marilena; Roupa, Paraskevi; Turek, Ondřej: Numerical methods for estimating the tuning parameter in penalized least squares problems (2022)
  2. Bellavia, S.; Donatelli, M.; Riccietti, Elisa: An inexact non stationary Tikhonov procedure for large-scale nonlinear ill-posed problems (2020)
  3. Koukouvinos, Christos; Mitrouli, Marilena; Turek, Ondřej: Efficient estimates in regression models with highly correlated covariates (2020)
  4. Huang, Guangxin; Reichel, Lothar; Yin, Feng: On the choice of subspace for large-scale Tikhonov regularization problems in general form (2019)
  5. Hao, Yong-Xia; Lu, Dianchen: Sparse approximation of fitting surface by elastic net (2018)
  6. Mitrouli, Marilena; Roupa, Paraskevi: Estimates for the generalized cross-validation function via an extrapolation and statistical approach (2018)
  7. Park, Y.; Reichel, L.; Rodriguez, G.; Yu, X.: Parameter determination for Tikhonov regularization problems in general form (2018)
  8. Hochstenbach, M. E.; Reichel, L.; Rodriguez, G.: Regularization parameter determination for discrete ill-posed problems (2015)
  9. Morikuni, Keiichi; Reichel, Lothar; Hayami, Ken: FGMRES for linear discrete ill-posed problems (2014)
  10. Reichel, Lothar; Rodriguez, Giuseppe: Old and new parameter choice rules for discrete ill-posed problems (2013)
  11. Zhao, Na; Yue, Tianxiang; Zhao, Mingwei: An improved version of a high accuracy surface modeling method (2013)
  12. Ledger, P. D.: (hp)-finite element discretisation of the electrical impedance tomography problem (2012)
  13. Morigi, S.; Reichel, L.; Sgallari, F.: Noise-reducing cascadic multilevel methods for linear discrete ill-posed problems (2010)
  14. Reichel, L.; Rodriguez, G.; Seatzu, S.: Error estimates for large-scale ill-posed problems (2009)