| Iterated Tikhonov regularization with a general penalty term A Buccini, M Donatelli, L Reichel Numerical Linear Algebra with Applications 24 (4), e2089, 2017 | 49 | 2017 |
| Iterated fractional Tikhonov regularization D Bianchi, A Buccini, M Donatelli, S Serra-Capizzano Inverse Problems 31 (5), 055005, 2015 | 47 | 2015 |
| Modulus-based iterative methods for constrained Tikhonov regularization ZZ Bai, A Buccini, K Hayami, L Reichel, JF Yin, N Zheng Journal of Computational and Applied Mathematics 319, 1-13, 2017 | 38 | 2017 |
| An Regularization Method for Large Discrete Ill-Posed Problems A Buccini, L Reichel Journal of Scientific Computing 78, 1526-1549, 2019 | 37 | 2019 |
| Regularizing preconditioners by non-stationary iterated Tikhonov with general penalty term A Buccini Applied Numerical Mathematics 116, 64-81, 2017 | 33 | 2017 |
| Generalized singular value decomposition with iterated Tikhonov regularization A Buccini, M Pasha, L Reichel Journal of Computational and Applied Mathematics 373, 112276, 2020 | 25 | 2020 |
| Modulus-based iterative methods for constrained ℓp–ℓq minimization A Buccini, M Pasha, L Reichel Inverse Problems 36 (8), 084001, 2020 | 23 | 2020 |
| An ℓp-ℓq minimization method with cross-validation for the restoration of impulse noise contaminated images A Buccini, L Reichel Journal of Computational and Applied Mathematics 375, 112824, 2020 | 20 | 2020 |
| Large-scale regression with non-convex loss and penalty A Buccini, O De la Cruz Cabrera, M Donatelli, A Martinelli, L Reichel Applied Numerical Mathematics 157, 590-601, 2020 | 13 | 2020 |
| Numerical aspects of the nonstationary modified linearized Bregman algorithm A Buccini, Y Park, L Reichel Applied Mathematics and Computation 337, 386-398, 2018 | 13 | 2018 |
| Generalized cross validation for ℓp-ℓq minimization A Buccini, L Reichel Numerical Algorithms, 1-22, 2021 | 12 | 2021 |
| A general framework for ADMM acceleration A Buccini, P Dell’Acqua, M Donatelli Numerical Algorithms 85, 829-848, 2020 | 12 | 2020 |
| A semiblind regularization algorithm for inverse problems with application to image deblurring A Buccini, M Donatelli, R Ramlau SIAM Journal on Scientific Computing 40 (1), A452-A483, 2018 | 11 | 2018 |
| Linearized Krylov subspace Bregman iteration with nonnegativity constraint A Buccini, M Pasha, L Reichel Numerical Algorithms 87, 1177-1200, 2021 | 9 | 2021 |
| Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems A Buccini, Y Park, L Reichel Journal of Computational and Applied Mathematics 373, 112138, 2020 | 7 | 2020 |
| Structure preserving preconditioning for frame-based image deblurring D Bianchi, A Buccini, M Donatelli Computational Methods for Inverse Problems in Imaging, 33-49, 2019 | 7 | 2019 |
| Weakly constrained Lucy–Richardson with applications to inversion of light scattering data A Buccini, M Donatelli, F Ferri Journal of Scientific Computing 74, 786-804, 2018 | 7 | 2018 |
| A non-convex regularization approach for compressive sensing YR Fan, A Buccini, M Donatelli, TZ Huang Advances in Computational Mathematics 45 (2), 563-588, 2019 | 6 | 2019 |
| Graph Laplacian for image deblurring D Bianchi, A Buccini, M Donatelli, E Randazzo Electronic Transactions on Numerical Analysis 55, 169-186, 2022 | 5 | 2022 |
| Variable selection in saturated and supersaturated designs via-minimization A Buccini, O De la Cruz Cabrera, C Koukouvinos, M Mitrouli, L Reichel Communications in Statistics-Simulation and Computation, 1-22, 2021 | 5 | 2021 |
lothar reichelVerified email at kau.edu.sa
