A. Buccini, M. Donatelli, L. Onisk, and L. Reichel, Flexible iterative methods for linear systems of equations with multiple right-hand sides, Numerical Algorithms, In press.
A. Buccini, S. Gazzola, L. Onisk, M. Pasha, and L. Reichel, Projected iterated Tikhonov in general form with adaptive choice of the regularization parameter, Numerical Algorithms, In press.
A. Buccini, F. Chen, O. De La Cruz Cabrera, and L. Reichel, Fast Alternating Least-Squares Methods for Trigonometric Curve Fitting, Applied Numerical Mathematics, , vol 208 (2025), pp. 104-134.
A. Buccini, F. Chen, M. Pasha, and L. Reichel, Krylov subspace based FISTA-type methods for linear discrete ill-posed problems, Numerical Linear Algebra with Applications, vol 32 (2025), art. num. e2610.
A. Buccini and E. Crabu, A tool for the construction of synthetic petroglyphs, 2025 25th International Conference on Computational Science and Its Applications (ICCSA), (2025), pp. 417-429.
A. Buccini, M. Donatelli, and M. Ratto, Multigrid methods for Computed Tomography, Symmetry, vol 14 (2025), art. num. 470.
S. Aleotti, A. Buccini, and M. Donatelli, Fractional graph Laplacian for image reconstruction, Applied Numerical Mathematics, vol 200 (2024), pp. 43-57.
A. Buccini, P. Díaz de Alba, and F. Pes, An Alternating Direction Multiplier Method for the inversion of FDEM data, Journal of Scientific Computing, vol 101 (2024), art. num. 14.
A. Buccini and L. Reichel, Software for limited memory restarted lp-lq minimization methods using generalized Krylov subspaces, Electronic Transactions on Numerical Analysis, vol 61 (2024), pp. 66-91.
M. Alotaibi, A. Buccini, and L. Reichel, Krylov Subspace Split Bregman Methods, Applied Numerical Mathematics, vol. 184 (2023), pp. 371-390.
A. Buccini, O. De La Cruz Cabrera, C. Koukouvinos, M. Mitrouli, and L. Reichel, Variable selection via the lp-lq method in high dimensional data, Communications in Statistics - Simulation and Computation, vol. 52 (2023), pp. 4326-4347.
A. Buccini, P. Díaz de Alba, F. Pes, and L. Reichel, An Efficient Implementation of the Gauss-Newton Method Via Generalized Krylov Subspaces, Journal of Scientific Computing, vol. 97 (2023), 44.
A. Buccini, M. Donatelli, and L. Reichel, Theoretical and numerical aspects of a non-stationary preconditioned iterative method for linear discrete ill-posed problems, Journal of Computational and Applied Mathematics, vol. 423 (2023) , 114940.
A. Buccini, L. Onisk, and L. Reichel, An Arnoldi-based preconditioner for iterated Tikhonov regularization, Numerical Algorithms, vol. 92 (2023), pp. 223-245.
A. Buccini, L. Onisk, and L. Reichel, Range restricted iterative methods for the solution of discrete linear ill-posed problems, Electronic Transactions on Numerical Analysis, vol 58 (2023), pp. 348-377.
A. Buccini and L. Reichel, Limited memory restarted lp-lq minimization methods using generalized Krylov subspaces, Advances in Computational Mathematics, vol. 49 (2023), pp. 26.
D. Bianchi, A. Buccini, M. Donatelli, and E. Randazzo,Graph Laplacian for image deblurring, Electronic Transactions on Numerical Analysis, vol. 55 (2022), pp. 169-186.
A. Buccini, Fast Alternating Direction Multipliers Method by Generalized Krylov Subspaces, Journal of Scientific Computing, vol. 90 (2022), pp. 60.
A. Buccini and P. Díaz de Alba, A variational non-linear constrained model for the inversion of FDEM data, Inverse Problems, vol. 38 no. 1 (2022) , pp. 014001.
A. Buccini, M. Pragliola, L. Reichel, and F. Sgallari, A comparison of parameter selection rules for lp-lq minimization, Annali dell'Università di Ferrara, vol.68 (2022), pp.441-463.
M. Alotaibi, A. Buccini, and L. Reichel, Restoration of blurred images corrupted by impulse noise via median filters and lp-lq minimization, 2021 21st International Conference on Computational Science and Its Applications (ICCSA), (2021), pp. 112-122.
X. Bai, A. Buccini, and L. Reichel, Golub-Kahan vs. Monte Carlo: A comparison of bidiagonalization and randomized SVD methods for the solution of linear discrete ill-posed problems, BIT Numerical Mathematics, vol. 64 no. 4 (2021), pp. 1093-1114.
X. Bai, A. Buccini, and L. Reichel, Solution of linear discrete ill-posed problems by discretized Chebyshev expansion, 2021 21st International Conference on Computational Science and Its Applications (ICCSA), (2021), pp. 101-111.
A. Buccini, Generalized Cross Validation stopping rule for Iterated Tikhonov regularization, 2021 21st International Conference on Computational Science and Its Applications (ICCSA), (2021), pp. 1-9.
A. Buccini and M. Donatelli, Graph Laplacian in l2-lq regularization for image reconstruction, 2021 21st International Conference on Computational Science and Its Applications (ICCSA), (2021), pp. 29-38.
A. Buccini, M. Donatelli, L. Reichel, and W. Zheng, A new non-stationary preconditioned iterative method for linear discrete ill-posed problems, Numerical Linear Algebra with Applications, vol. 28 no. 2 (2021), e2353.
A. Buccini, G. Huang, L. Reichel, and F. Yin, On the choice of regularization matrix for an l2-lq minimization method for image restoration, Applied Numerical Mathematics, vol. 164 (2021), pp. 211-221.
A. Buccini, Y. Park, and L.Reichel, Corrigendum to ``"Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems'' [J. Comput. Appl. Math. 373 (2020) 112138], vol. 397 (2021), pp. 113571.
A. Buccini, M. Pasha, and L. Reichel, Linearized Krylov subspace Bregman iteration with nonnegativity constraint, Numerical Algorithms, vol. 87 no. 3 (2021), pp.1177-1200.
A. Buccini and L. Reichel, Generalized Cross Validation for lp-lq minimization, Numerical Algorithms, vol. 88 no. 4 (2021), pp. 1595-1616 .
D. Bianchi and A. Buccini, Generalized Structure Preserving Preconditioners for Frame-Based Image Deblurring, Mathematics, vol. 8 no. 4 (2020), 486.
A. Buccini, O. De La Cruz Cabrera, M. Donatelli, A. Martinelli, and L. Reichel, Large Scale Regression with Non-Convex Loss and Penalty, Applied Numerical Mathematics, vol. 157 (2020), pp. 590-601.
A. Buccini, P. Dell'Acqua, and M. Donatelli, A general framework for the acceleration of ADMM, Numerical Algorithms, vol. 85 (2020), pp. 829-848.
A. Buccini and M. Donatelli, A Multigrid frame based method for image deblurring, Electronic Transactions in Numerical Analysis, vol. 53 (2020), pp. 283-312.
A. Buccini, Y. Park, and L. Reichel, Comparison of A-Posteriori Parameter Choice Rules for Linear Discrete Ill-Posed Problems, Journal of Computational and Applied Mathematics, vol. 373 (2020), 112138.
A. Buccini, M. Pasha, and L. Reichel, Generalized Singular Value Decomposition with Iterated Tikhonov Regularization, Journal of Computational and Applied Mathematics, vol. 373 (2020), 112276.
A. Buccini, M. Pasha, and L. Reichel, Modulus-based iterative methods for constrained lp-lq minimization, Inverse Problems, vol. 36 no. 8 (2020), pp. 084001.
A. Buccini and L. Reichel, An lp-lq minimization method with cross-validation for the restoration of impulse noise contaminated images, Journal of Computational and Applied Mathematics, vol. 375 (2020), 112824.
D. Bianchi, A. Buccini, and M. Donatelli, Structure preserving preconditioning for frame-based image deblurring, in Computational Methods for Inverse Problems in Imaging. Springer, Cham (2019), pp. 33-49.
A. Buccini and L. Reichel, An l2-lq regularization method for large discrete ill-posed problems, Journal of Scientific Computing, vol. 79 no. 3 (2019), pp. 1526-1549.
Y. Fan, A. Buccini, M. Donatelli, and T.-Z. Huang, A non-convex regularization approach for compressive sensing, Advances in Computational Mathematics, vol. 45 no. 2 (2019), pp. 563-588.
A. Buccini, M. Donatelli, and F. Ferri, Weakly constrained Lucy-Richardson with application to inverse light scattering, Journal of Scientific Computing, vol. 74 no. 2 (2018), pp. 786-804.
A. Buccini, M. Donatelli, and R. Ramlau, A semi-blind regularization algorithm for inverse problems with application to image deblurring, SIAM Journal of Scientific Computing, vol, 40 no. 1 (2018), pp. A452-A483.
A. Buccini, Y. Park, and L. Reichel, Numerical aspects of the nonstationary modified linearized Bregman algorithm, Applied Mathematics and Computation, vol. 337 no. 15 (2018), pp. 386-398.
Z.Z. Bai, A. Buccini, K. Hayami, L.Reichel, J.F. Yin, and N. Zheng, Modulus-Based Method for Constrained Tikhonov Regularization, Journal of Computational and Applied Mathematics, vol. 319 (2017), pp. 1-13.
A. Buccini, Regularizing preconditioners by non-stationary iterated Tikhonov with general penalty term, Applied Numerical Mathematics, vol. 116 (2017), pp. 64-81.
A. Buccini, M. Donatelli, and L. Reichel, Iterated Tikhonov with general penalty term, Numerical Linear Algebra with Applications, vol. 24 no. 4 (2017), e2089.
D. Bianchi, A. Buccini, M. Donatelli, and S. Serra-Capizzano, Iterated fractional Tikhonov regularization, Inverse Problems, vol.31 no. 5 (2015), pp.055005.
A. Azzarelli and A. Buccini, Fractional Laplacian for petroglyphs extraction.
A. Buccini, M. Donatelli, M. Ratto, and L. Reichel, An iterated l2-lq regularization method.
A. Buccini, M. Donatelli, M. Ratto, and L. Reichel, A preconditioned majorization-minimization method for lp-lq minimization.
A. Azzarelli and A. Buccini, Blind regularization operator for l2-lq minimiziation (working title).
A. Azzarelli, A. Buccini, A. El Hacimi, and K. Jbilou, Nuclear norm for glyph extraction (working title).
A. Buccini, E. Crabu, and G. Rodriguez, An lp minimization for the treatment of non-Lambertian points in photometric stereo (working title).
A. Buccini, P. Díaz de Alba, L. Fermo, and F. Pes, Regularizing precondtioners for first kind integral equations (working title).
A. Buccini, P. Díaz de Alba, F. Pes, and R. Sormani, Matrix-free methods for the inversion of FDEM data (working title).
A. Buccini, M. Donatelli, M. Ratto, and L. Reichel, GCV preconditioners for $\ell^p-\ell^q$ minimization (working title).