Valeria Ruggiero

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 26

Top Topics

Stochastic Gradient

Constrained Optimization

Top Venues

Comput. Optim. Appl.

Commun. Nonlinear Sci. Numer. Simul.

Appl. Math. Comput.

Publications

Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
A stochastic gradient method with variance control and variable learning rate for Deep Learning. J. Comput. Appl. Math. 451 (2024)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. 96 (2) (2023)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini
A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. J. Sci. Comput. 94 (1) (2023)
Valeria Ruggiero, Gerardo Toraldo
Special issue for SIMAI 2020-2021: large-scale optimization and applications. Comput. Optim. Appl. 84 (1) (2023)
Giorgia Franchini, Federica Porta, Valeria Ruggiero, Ilaria Trombini, Luca Zanni
Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. OLA (2023)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
Hybrid limited memory gradient projection methods for box-constrained optimization problems. Comput. Optim. Appl. 84 (1) (2023)
Silvia Bonettini, Federica Porta, Valeria Ruggiero, Luca Zanni
Variable metric techniques for forward-backward methods in imaging. J. Comput. Appl. Math. 385 (2021)
Giorgia Franchini, Valeria Ruggiero, Ilaria Trombini
Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods. LOD (2021)
Serena Crisci, Michele Piana, Valeria Ruggiero, Mara Scussolini
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data. SIAM J. Imaging Sci. 14 (1) (2021)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds. SIAM J. Optim. 30 (2) (2020)
Giorgia Franchini, Valeria Ruggiero, Luca Zanni
Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. LOD (2) (2020)
Giorgia Franchini, Valeria Ruggiero, Luca Zanni
Ritz-like values in steplength selections for stochastic gradient methods. Soft Comput. 24 (23) (2020)
Giorgia Franchini, Valeria Ruggiero, Luca Zanni
On the Steplength Selection in Stochastic Gradient Methods. NUMTA(1) (2019)
Serena Crisci, Michele Piana, Valeria Ruggiero, Mara Scussolini
Computational approaches for parametric imaging of dynamic PET data. CoRR (2019)
Serena Crisci, Federica Porta, Valeria Ruggiero, Luca Zanni
A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. NUMTA(1) (2019)
Serena Crisci, Valeria Ruggiero, Luca Zanni
Steplength selection in gradient projection methods for box-constrained quadratic programs. Appl. Math. Comput. 356 (2019)
Riccardo Zanella, Federica Porta, Valeria Ruggiero, Massimo Zanetti
Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional. Appl. Math. Comput. 318 (2018)
Silvia Bonettini, Simone Rebegoldi, Valeria Ruggiero
Inertial Variable Metric Techniques for the Inexact Forward-Backward Algorithm. SIAM J. Sci. Comput. 40 (5) (2018)
Valeria Ruggiero, Gerardo Toraldo
Introduction to the special issue for SIMAI 2016. Comput. Optim. Appl. 71 (1) (2018)
Daniela di Serafino, Valeria Ruggiero, Gerardo Toraldo, Luca Zanni
On the steplength selection in gradient methods for unconstrained optimization. Appl. Math. Comput. 318 (2018)
Massimo Zanetti, Valeria Ruggiero, Michele Miranda Jr.
Numerical minimization of a second-order functional for image segmentation. Commun. Nonlinear Sci. Numer. Simul. 36 (2016)
Silvia Bonettini, Federica Porta, Valeria Ruggiero
A Variable Metric Forward-Backward Method with Extrapolation. SIAM J. Sci. Comput. 38 (4) (2016)
Silvia Bonettini, Alessandro Benfenati, Valeria Ruggiero
Scaling Techniques for ε-Subgradient Methods. SIAM J. Optim. 26 (3) (2016)
Luca Zanni, Alessandro Benfenati, Mario Bertero, Valeria Ruggiero
Numerical Methods for Parameter Estimation in Poisson Data Inversion. J. Math. Imaging Vis. 52 (3) (2015)
Alessandro Benfenati, Valeria Ruggiero
Reprint of Inexact Bregman iteration for deconvolution of superimposed extended and point sources. Commun. Nonlinear Sci. Numer. Simul. 21 (1-3) (2015)
Alessandro Benfenati, Valeria Ruggiero
Inexact Bregman iteration for deconvolution of superimposed extended and point sources. Commun. Nonlinear Sci. Numer. Simul. 20 (3) (2015)
Silvia Bonettini, Alessandro Benfenati, Valeria Ruggiero
Primal-dual first order methods for total variation image restoration in presence of poisson noise. ICIP (2014)
Silvia Bonettini, Valeria Ruggiero
An alternating extragradient method with non euclidean projections for saddle point problems. Comput. Optim. Appl. 59 (3) (2014)
Mario Bertero, Valeria Ruggiero, Luca Zanni
Guest editorial. Comput. Optim. Appl. 54 (2) (2013)
Silvia Bonettini, Valeria Ruggiero
On the Convergence of Primal-Dual Hybrid Gradient Algorithms for Total Variation Image Restoration. J. Math. Imaging Vis. 44 (3) (2012)
Valeria Ruggiero, Thomas Serafini, Riccardo Zanella, Luca Zanni
Iterative regularization algorithms for constrained image deblurring on graphics processors. J. Glob. Optim. 48 (1) (2010)
Silvia Bonettini, Emanuele Galligani, Valeria Ruggiero
Inner solvers for interior point methods for large scale nonlinear programming. Comput. Optim. Appl. 37 (1) (2007)
Silvia Bonettini, Valeria Ruggiero
Some iterative methods for the solution of a symmetric indefinite KKT system. Comput. Optim. Appl. 38 (1) (2007)
Silvia Bonettini, Valeria Ruggiero, Federica Tinti
On the solution of indefinite systems arising in nonlinear programming problems. Numer. Linear Algebra Appl. 14 (10) (2007)
Valeria Ruggiero, Federica Tinti
A preconditioner for solving large-scale variational inequality problems by a semismooth inexact approach. Int. J. Comput. Math. 83 (10) (2006)
Silvia Bonettini, Emanuele Galligani, Valeria Ruggiero
An inexact Newton method combined with Hestenes multipliers' scheme for the solution of Karush-Kuhn-Tucker systems. Appl. Math. Comput. 168 (1) (2005)
C. Durazzi, Valeria Ruggiero
Numerical solution of special linear and quadratic programs via a parallel interior-point method. Parallel Comput. 29 (4) (2003)
C. Durazzi, Valeria Ruggiero
Indefinitely preconditioned conjugate gradient method for large sparse equality and inequality constrained quadratic problems. Numer. Linear Algebra Appl. 10 (8) (2003)
Emanuele Galligani, Valeria Ruggiero, Luca Zanni
A minimization method for the solution of large symmetriric eigenproblems. Int. J. Comput. Math. 70 (1) (1998)
Emanuele Galligani, Valeria Ruggiero, Luca Zanni
Splitting methods for quadratic optimization in data analysis. Int. J. Comput. Math. 63 (3-4) (1997)
Elena Loli Piccolomini, Valeria Ruggiero, Fabiana Zama
An Application of the Indirect Approximation Problem on Heterogeneous Computer Systems. PARCO (1995)
Emanuele Galligani, Valeria Ruggiero
Implementation of splitting methods for solving block tridiagonal linear systems on transputers. PDP (1995)
Emanuele Galligani, Valeria Ruggiero
A Polynomial Preconditioner for Block Tridiagonal Matrices. Parallel Algorithms Appl. 3 (3-4) (1994)
Emanuele Galligani, Valeria Ruggiero
A Parallel Preconditioner for Block Tridiagonal Matrices. PARCO (1993)
Ilio Galligani, Valeria Ruggiero
Solving large systems of linear ordinary differential equations on a vector computer. Parallel Comput. 9 (3) (1989)