Publications

Journal articles

1. S. Crisci, S. Rebegoldi, G. Toraldo, M. Viola: Barzilai-Borwein-like rules in proximal gradient schemes for ℓ1−regularized problems, Optimization Methods and Software, 2024 (Optimization Online)

2. D. di Serafino, W.W. Hager, G. Toraldo, M. Viola: On the stationarity for nonlinear optimization problems with polyhedral constraints, Mathematical Programming, 205, pp. 107–134, 2024 (Open access)

3. S. Crisci, V. De Simone, M. Viola: On the Adaptive Penalty Parameter Selection in ADMM, Algorithms, 16(6), p. 264, 2023 (Open access)

4. D. di Serafino, N. Krejic, N. Krklec Jerinkic, M. Viola: LSOS: Line-search Second-Order Stochastic optimization methods for nonconvex finite sums, Mathematics of Computation, 92, pp. 1273-1299, 2023 (Optimization Online, arXiv)

5. L. Antonelli, V. De Simone, M. Viola: Cartoon-texture evolution for two-region image segmentation,  Computational Optimization and Applications, 84(1), pp. 5–26, 2023 (Open access)

6. V. De Simone, D. di Serafino, J. Gondzio, S. Pougkakiotis, M. Viola: Sparse Approximations with Interior Point Methods, SIAM Review, 64(4), pp. 954-988, 2022 (Optimization Online, arXiv)

7. D. di Serafino, G. Landi, M. Viola: Directional TGV-based image restoration under Poisson noise, Journal of Imaging, 7 (6), p. 99, 2021 (Open access, preprint available on arXiv)

8. D. di Serafino, G. Toraldo, M. Viola: Using gradient directions to get global convergence of Newton-type methods, Applied Mathematics and Computation, article 125612, 2020 (Optimization Online, arXiv)

9. V. De Simone, D. di Serafino, M. Viola: A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers, Electronic Transactions on Numerical Analysis, 53, pp.406-425, 2020 (Optimization Online, arXiv)

10. D. di Serafino, G. Landi, M. Viola: ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration, Applied Mathematics and Computation, 364, article 124678, 2020 (arXiv)

11. M. Viola, M. Sangiovanni, G. Toraldo, M.R. Guarracino: Semi-supervised Generalized Eigenvalues Classification, Annals of Operations Research, 276, pp. 249-266, 2019

12. D. di Serafino, G. Toraldo, M. Viola, J. Barlow: A two-phase gradient method for Quadratic Programming problems with a single linear constraint and bounds on the variables, SIAM Journal on Optimization, 28(4), pp. 2809—2838, 2018 (arXiv)

13. M. Viola, M. Sangiovanni, G. Toraldo, M.R. Guarracino: A Generalized Eigenvalues Classifier with Embedded Feature Selection, Optimization Letters, 11(2), pp. 299-311, 2017

Conference Proceedings

1. Á. Martínez Calomardo, M. Viola, M. Yousefi: Combined First- and Second-order directions for Deep Neural Networks Training, to appear on NUMTA 2023, Lecture Notes in Computer Science, 2023

2. F. Porta, S. Villa, M. Viola, M. Zach: On the inexact proximal Gauss-Newton methods for regularized nonlinear least squares problems, to appear on ATOMI, Springer INdAM Series, 2023

3. L. Antonelli, V. De Simone, M. Viola: Segmenting MR images through texture extraction and multiplicative components optimization, In: Calatroni, L., Donatelli, M., Morigi, S., Prato, M., Santacesaria, M. (Eds.): Scale Space and Variational Methods in Computer Vision. SSVM 2023, Lecture Notes in Computer Science, vol 14009, pp. 511-521, 2023

4. D. di Serafino, G. Landi, M. Viola: TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter, 21st International Conference on Computational Science and Its Applications (ICCSA), 2021, pp. 139-145 (available on arXiv)

5. D. di Serafino, G. Toraldo, M. Viola: A gradient-based globalization strategy for the Newton method, In: Y. D. Sergeyev and D. E. Kvasov (Eds.): NUMTA 2019, Lecture Notes in Computer Science, vol 11973, pp. 177–185, 2020.

6. Z. Dostál, G. Toraldo, M. Viola, O. Vlach: Proportionality-based gradient methods with applications in contact mechanics, In: Kozubek T. et al. (Eds.): High Performance Computing in Science and Engineering. HPCSE 2017. Lecture Notes in Computer Science, vol 11087, 2018

7. M.R. Guarracino, M. Sangiovanni, G. Severino, G. Toraldo, M. Viola: On the regularization of generalized eigenvalues classifiers, Proceedings of the 2nd International Conference "Numerical Computations: Theory and Algorithms", AIP Conference Proceedings, 2016

8. M. Liberini, S. Esposito, K. Reshad, B. Previtali, M. Viola, A. Squillace: Development of an innovative method to predict and to characterize the performances of Ti-6Al-4V LBW joints, Proceedings of the 19th International ESAFORM Conference on Material Forming, AIP Conference Proceedings, 2016

Submitted Papers

1. R. Campagna, S. Crisci, G. Santin, G. Toraldo, M. Viola: An algorithm for a constrained P-spline, 2024

2. G. Landi, M. Viola, F. Zama: A Scaled Gradient Projection method for the realization of the Balancing Principle in TGV-based image restoration, 2024