Solving large systems of linear ordinary differential equations on a vector computer. - Ilio Galligani; Valeria Ruggiero (Parallel Comput., 1989)

A Parallel Preconditioner for Block Tridiagonal Matrices. - Emanuele Galligani; Valeria Ruggiero (PARCO, 1993)

A Polynomial Preconditioner for Block Tridiagonal Matrices. - Emanuele Galligani; Valeria Ruggiero (Parallel Algorithms Appl., 1994)

An Application of the Indirect Approximation Problem on Heterogeneous Computer Systems. - Elena Loli Piccolomini; Valeria Ruggiero; Fabiana Zama (PARCO, 1995)

Implementation of splitting methods for solving block tridiagonal linear systems on transputers. - Emanuele Galligani; Valeria Ruggiero (PDP, 1995)

Splitting methods for quadratic optimization in data analysis. - Emanuele Galligani; Valeria Ruggiero; Luca Zanni (Int. J. Comput. Math., 1997)

A minimization method for the solution of large symmetriric eigenproblems. - Emanuele Galligani; Valeria Ruggiero; Luca Zanni (Int. J. Comput. Math., 1998)

Indefinitely preconditioned conjugate gradient method for large sparse equality and inequality constrained quadratic problems. - Carla Durazzi; Valeria Ruggiero (Numer. Linear Algebra Appl., 2003)

Numerical solution of special linear and quadratic programs via a parallel interior-point method. - Carla Durazzi; Valeria Ruggiero (Parallel Comput., 2003)

An inexact Newton method combined with Hestenes multipliers' scheme for the solution of Karush-Kuhn-Tucker systems. - Silvia Bonettini; Emanuele Galligani; Valeria Ruggiero (Appl. Math. Comput., 2005)

A preconditioner for solving large-scale variational inequality problems by a semismooth inexact approach. - Valeria Ruggiero; Federica Tinti (Int. J. Comput. Math., 2006)

Inner solvers for interior point methods for large scale nonlinear programming. - Silvia Bonettini; Emanuele Galligani; Valeria Ruggiero (Comput. Optim. Appl., 2007)

Some iterative methods for the solution of a symmetric indefinite KKT system. - Silvia Bonettini; Valeria Ruggiero (Comput. Optim. Appl., 2007)

On the solution of indefinite systems arising in nonlinear programming problems. - Silvia Bonettini; Valeria Ruggiero; Federica Tinti (Numer. Linear Algebra Appl., 2007)

Iterative regularization algorithms for constrained image deblurring on graphics processors. - Valeria Ruggiero; Thomas Serafini; Riccardo Zanella; Luca Zanni (J. Glob. Optim., 2010)

On the Convergence of Primal-Dual Hybrid Gradient Algorithms for Total Variation Image Restoration. - Silvia Bonettini; Valeria Ruggiero (J. Math. Imaging Vis., 2012)

Guest editorial. - Mario Bertero; Valeria Ruggiero; Luca Zanni (Comput. Optim. Appl., 2013)

Primal-dual first order methods for total variation image restoration in presence of poisson noise. - Silvia Bonettini; Alessandro Benfenati; Valeria Ruggiero (ICIP, 2014)

An alternating extragradient method with non euclidean projections for saddle point problems. - Silvia Bonettini; Valeria Ruggiero (Comput. Optim. Appl., 2014)

Inexact Bregman iteration for deconvolution of superimposed extended and point sources. - Alessandro Benfenati; Valeria Ruggiero (Commun. Nonlinear Sci. Numer. Simul., 2015)

Reprint of Inexact Bregman iteration for deconvolution of superimposed extended and point sources. - Alessandro Benfenati; Valeria Ruggiero (Commun. Nonlinear Sci. Numer. Simul., 2015)

Numerical Methods for Parameter Estimation in Poisson Data Inversion. - Luca Zanni; Alessandro Benfenati; Mario Bertero; Valeria Ruggiero (J. Math. Imaging Vis., 2015)

Numerical minimization of a second-order functional for image segmentation. - Massimo Zanetti; Valeria Ruggiero; Michele Miranda Jr. (Commun. Nonlinear Sci. Numer. Simul., 2016)

Scaling Techniques for ε-Subgradient Methods. - Silvia Bonettini; Alessandro Benfenati; Valeria Ruggiero (SIAM J. Optim., 2016)

A Variable Metric Forward-Backward Method with Extrapolation. - Silvia Bonettini; Federica Porta; Valeria Ruggiero (SIAM J. Sci. Comput., 2016)

On the steplength selection in gradient methods for unconstrained optimization. - Daniela di Serafino; Valeria Ruggiero; Gerardo Toraldo; Luca Zanni (Appl. Math. Comput., 2018)

Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional. - Riccardo Zanella; Federica Porta; Valeria Ruggiero; Massimo Zanetti (Appl. Math. Comput., 2018)

Introduction to the special issue for SIMAI 2016. - Valeria Ruggiero; Gerardo Toraldo (Comput. Optim. Appl., 2018)

Inertial Variable Metric Techniques for the Inexact Forward-Backward Algorithm. - Silvia Bonettini; Simone Rebegoldi; Valeria Ruggiero (SIAM J. Sci. Comput., 2018)

A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (NUMTA(1), 2019)

On the Steplength Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (NUMTA(1), 2019)

Steplength selection in gradient projection methods for box-constrained quadratic programs. - Serena Crisci; Valeria Ruggiero; Luca Zanni (Appl. Math. Comput., 2019)

Computational approaches for parametric imaging of dynamic PET data. - Serena Crisci; Michele Piana; Valeria Ruggiero; Mara Scussolini (CoRR, 2019)

Steplength and Mini-batch Size Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (LOD (2), 2020)

Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (SIAM J. Optim., 2020)

Ritz-like values in steplength selections for stochastic gradient methods. - Giorgia Franchini; Valeria Ruggiero; Luca Zanni (Soft Comput., 2020)

Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods. - Giorgia Franchini; Valeria Ruggiero; Ilaria Trombini (LOD, 2021)

Variable metric techniques for forward-backward methods in imaging. - Silvia Bonettini; Federica Porta; Valeria Ruggiero; Luca Zanni (J. Comput. Appl. Math., 2021)

A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data. - Serena Crisci; Michele Piana; Valeria Ruggiero; Mara Scussolini (SIAM J. Imaging Sci., 2021)

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (NUMTA (1), 2023)

Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (OLA, 2023)

Hybrid limited memory gradient projection methods for box-constrained optimization problems. - Serena Crisci; Federica Porta; Valeria Ruggiero; Luca Zanni (Comput. Optim. Appl., 2023)

Special issue for SIMAI 2020-2021: large-scale optimization and applications. - Valeria Ruggiero; Gerardo Toraldo (Comput. Optim. Appl., 2023)

A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini (J. Sci. Comput., 2023)

Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini (J. Sci. Comput., 2023)

A stochastic gradient method with variance control and variable learning rate for Deep Learning. - Giorgia Franchini; Federica Porta; Valeria Ruggiero; Ilaria Trombini; Luca Zanni (J. Comput. Appl. Math., 2024)

Spectral stochastic gradient method with additional sampling for finite and infinite sums. - Natasa Krklec Jerinkic; Valeria Ruggiero; Ilaria Trombini (Comput. Optim. Appl., 2025)