Pubblicazioni

Papers in journals:

  1. S. Bonettini, A. Benfenati, V. Ruggiero, 2016, Scaling techniques for epsilon-subgradient methods, to appear on SIAM Journal on Optimization;
  2. S. Bonettini, F. Porta, V. Ruggiero, 2016, A variable metric forward-backward method with extrapolation, to appear on SIAM Journal on Scientific Computing;
  3. S. Bonettini, I. Loris, F. Porta, M. Prato, 2016, Variable metric inexact line-search based methods for nonsmooth optimization, SIAM Journal on Optimization, 26, 891-921;
  4. S. Bonettini, M. Prato, S. Rebegoldi, 2016, A cyclic block coordinatedescent method with generalized gradient projections, Applied Mathematics and Computation, 286, 288-300;
  5. S. Bonettini, A. Chiuso, M. Prato, 2015, A scaled gradient projection method for Bayesian learning in dynamical systems, SIAM Journal on Scientific Computing, 37, A1297-A1318;
  6. S. Bonettini, M. Prato, 2015, New convergence results for the scaled gradient projection method, Inverse Problems, 31(9), 095008
  7. M. Prato, A. La Camera, S. Bonettini, S. Rebegoldi, M. Bertero, P. Boccacci, 2015, A blind deconvolution method for ground based telescopes and Fizeau interferometers, New Astronomy, 40, 1-13;
  8. S. Bonettini, V. Ruggiero, 2014, An alternating extragradient method with non Euclidean projections for saddle point problems, Computational Optimization and Applications, 59(3), 511-540;
  9. S. Bonettini, M. Prato, 2014, Accelerated gradient methods for the X-ray imaging of solar flares, Inverse Problems, 30(5), 055004; paper
  10. S. Bonettini, A. Cornelio, M. Prato, 2013, A new semi-blind deconvolution approach for Fourier-based image restoration: an application in astronomy, SIAM J. on Imaging Science, 6(3), pp. 1736-1757;
  11. M. Prato, A. La Camera, S. Bonettini, M. Bertero, 2013, A convergent blind deconvolution method for post-adaptive-optics astronomical imaging, Inverse Problems, 29(6), 065017; paper
  12. S. Bonettini, G. Landi, E. Loli Piccolomini, L. Zanni, 2013, Scaling techniques for gradient projection-type methods in astronomical image deblurring, International Journal of Computer Mathematics, 90(1), pp. 9-29;
  13. S. Bonettini, V. Ruggiero, 2012, Analysis of Interior Point methods for edge preserving removal of Poisson noise, Quaderni di Matematica, 27, pp. 67-91;
  14. S. Bonettini, V. Ruggiero, 2012, On the convergence of primal-dual hybrid gradient algorithms for total variation image restoration, Journal of Mathematical Imaging and Vision , 44(3), pp. 236-253; paper
  15. S. Bonettini, 2011, Inexact block coordinate descent methods with application to the nonnegative matrix factorization, IMA Journal of Numerical Analysis , 31(4), pp. 1431-1452; paper
  16. S. Bonettini, V. Ruggiero, 2011, An alternating extragradient method for total variation based image restoration from Poisson data, Inverse Problems, 27, 095001; paper
  17. S. Bonettini, M. Prato, 2010, Nonnegative image reconstruction from sparse Fourier data: a new deconvolution algorithm, Inverse Problems, 26(9), 095001; paper
  18. S. Bonettini, T. Serafini, 2009, Nonnegatively constrained image deblurring with an inexact interior point method, Journal of Computational and Applied Mathematics, 231, pp. 236-248; paper
  19. S. Bonettini, R. Zanella, L. Zanni, 2009,   A scaled gradient projection method for constrained image deblurring, Inverse Problems, 25(1), 015002; paper
  20. S. Bonettini, V. Ruggiero, F. Tinti, 2007, On the solution of indefinite systems arising in nonlinear optimization, Numerical Linear Algebra with Applications, 14(10), pp.807-831; paper
  21. S. Bonettini, F. Tinti, 2007, A nonmonotone semismooth inexact Newton method, Optimization Methods and Software, 22(4), pp. 637-657; paper
  22. S. Bonettini, E. Galligani, V. Ruggiero, 2007, Inner solvers for interior point methods for large scale nonlinear programming, Computational Optimization and Applications, 37(1), pp.1-34; paper
  23. S. Bonettini, V. Ruggiero, 2007, Some iterative methods for the solution of a symmetric indefinite KKT system, Computational Optimization and Applications, 38, pp.3-25; paper
  24. S. Bonettini, 2006, Metodi di tipo Newton interior point in ottimizzazione vincolata nonlineare di grandi dimensioni, Bollettino della Unione Matematica Italiana, 9(2), pp.207-210; paper
  25. S. Bonettini, 2005, A nonmonotone inexact Newton method, Optimization Methods and Software, 20(4-5), pp.475-491; paper
  26. S. Bonettini, E. Galligani, V. Ruggiero, 2005, An inexact Newton method combined with Hestenes multiplier’s scheme for the solution of Karush-Kuhn-Tucker systems, Applied Mathematics and Computation, 168, pp. 651-676; paper
  27. S. Bonettini, E. Galligani, V. Ruggiero, 2004, Hestenes method for symmetric indefinite systems in interior-point method, Rendiconti di Matematica, Serie VII, 24, Roma, pp. 185-199. paper

Referred proceedings

  1. S. Rebegoldi, S. Bonettini, M. Prato, Application of cyclic block generalized gradient projection methods to Poisson blind deconvolution, Proceedings of the European Signal Processing Conference 2015, in press

  2. M. Prato, A. La Camera, S. Bonettini, M. Bertero 2015, The scaled gradient projection method: an application to nonconvex optimization, Proceedings of PIERS 2015, 2332-2336;

  3. S. Bonettini, A. Benfenati, V. Ruggiero 2014, Primal-dual first order methods for total variation image restoration in presence of Poisson noise, Proceedings of the IEEE International Conference on Image Processing 2014, October 27-30 2014, Paris, France, 4156-4160;

  4. M. Prato, S. Bonettini, A. La Camera, S. Rebegoldi 2014, Alternating minimization for Poisson blind deconvolution in astronomy, Proceedings of the Inverse Problems from Theory to Applications Conference (IPTA 2014), 148-152, ISBN 9780750311069;

  5. M. Prato, A. La Camera, S. Bonettini 2014, An alternating minimization method for blind deconvolution from Poisson data, Journal of Physics: Conference Series, 542, 012006;

  6. A. Cornelio, S. Bonettini, M. Prato, 2013, An image reconstruction method from Fourier data with uncertainties on the spatial frequencies, Journal of Physics: Conference Series, 464, 012008;

  7. S. Bonettini, M. Prato, 2010, A novel gradient projection approach for Fourier-based image restoration, AIP conference proceedings, 1281, ICNAAM 2010: International Conference on Numerical Analysis and Applied Mathematics 2010, Rhodes, Greece,  19-25 September 2010, pp. 527-530; paper

  8. S. Bonettini, V. Ruggiero, 2010 On the Uniqueness of the Solution of Image Reconstruction Problems with Poisson Data, AIP conference proceedings, 1281, ICNAAM 2010: International Conference on Numerical Analysis and Applied Mathematics 2010, Rhodes, Greece,  19-25 September 2010, pp. 1803-1806; paper

  9. L. Sambo, J. B. Stephen, S. Bonettini, G. Zanghirati, and F. Frontera, 2009, Improving the angular resolution of coded aperture instruments using a modified Lucy-Richardson algorithm for deconvolution, SISSA (Trieste), proceedings of the conference The Extreme sky: Sampling the Universe above 10 keV, Otranto, 13-19 Ottobre 2009;  paper

  10. S. Bonettini, F. Benvenuto, R. Zanella, L. Zanni, M. Bertero, 2009, Gradient approaches for optimization problems in image deblurring and denoising, EUSIPCO 2009, proceedings of the 17th European Signal Processing Conference, 2009, pp.1384-1388; paper

  11. S. Bonettini, R. Zanella, L. Zanni, M. Bertero, 2008, Accelerated gradient methods for constrained image deblurring,  Journal of Physics, Conference Series, 135,  , 012022; paper
  12. S. Bonettini, 2007,   Some preconditioned conjugate gradient algorithms for the solution of equality constrained quadratic programming problems, Communications to SIMAI Congress, 2; paper
  13. S. Bonettini, V. Ruggiero, F. Tinti, 2006, On the solution of indefinite systems arising in nonlinear optimization, Communications to SIMAI Congress, ISSN 1827-9015, DOI: 10.1685/CSC06025

Technical Reports and submitted papers

  1. S. Bonettini, V. Ruggiero, 2010, A discrepancy principle for Poisson data: uniqueness of the solution for 2D and 3D data, eprint n. 195 Università di Ferrara, paper
  2. S. Bonettini, V. Ruggiero, 2006, A collection of optimal control problems with control and state constraints, technical teport n. 363, Dipartimento di Matematica, Università di Ferrara; paper
  3. S. Bonettini, E. Galligani, V. Ruggiero, 2003, A Newton inexact interior-point method combined with Hestenes multiplier’s scheme, technical report n. 334, Dipartimento di Matematica, Università di Ferrara;
  4. S. Bonettini, T. Serafini, 2003, Filtering and differential properties of wavelet transform and its Application in Analytical Chemistry,  technical report n. 51, Dipartimento di Matematica, Università di Modena e Reggio Emilia. paper

PhD Thesis

S. Bonettini, Newton interior-point methods for large scale nonlinear constrained optimization, (2005) thesis(14Mb .pdf).