Valeria Ruggiero

Orcid: 0000-0001-5885-1703

According to our database1, Valeria Ruggiero authored at least 45 papers between 1989 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A stochastic gradient method with variance control and variable learning rate for Deep Learning.
J. Comput. Appl. Math., 2024

2023
Correction to: A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., August, 2023

A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction.
J. Sci. Comput., 2023

Special issue for SIMAI 2020-2021: large-scale optimization and applications.
Comput. Optim. Appl., 2023

Hybrid limited memory gradient projection methods for box-constrained optimization problems.
Comput. Optim. Appl., 2023

Diagonal Barzilai-Borwein Rules in Stochastic Gradient-Like Methods.
Proceedings of the Optimization and Learning - 6th International Conference, 2023

2021
A Regularized Affine-Scaling Trust-Region Method for Parametric Imaging of Dynamic PET Data.
SIAM J. Imaging Sci., 2021

Variable metric techniques for forward-backward methods in imaging.
J. Comput. Appl. Math., 2021

Thresholding Procedure via Barzilai-Borwein Rules for the Steplength Selection in Stochastic Gradient Methods.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020
Ritz-like values in steplength selections for stochastic gradient methods.
Soft Comput., 2020

Spectral Properties of Barzilai-Borwein Rules in Solving Singly Linearly Constrained Optimization Problems Subject to Lower and Upper Bounds.
SIAM J. Optim., 2020

Steplength and Mini-batch Size Selection in Stochastic Gradient Methods.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
Computational approaches for parametric imaging of dynamic PET data.
CoRR, 2019

Steplength selection in gradient projection methods for box-constrained quadratic programs.
Appl. Math. Comput., 2019

On the Steplength Selection in Stochastic Gradient Methods.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

A Limited Memory Gradient Projection Method for Box-Constrained Quadratic Optimization Problems.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

2018
Inertial Variable Metric Techniques for the Inexact Forward-Backward Algorithm.
SIAM J. Sci. Comput., 2018

Introduction to the special issue for SIMAI 2016.
Comput. Optim. Appl., 2018

Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional.
Appl. Math. Comput., 2018

On the steplength selection in gradient methods for unconstrained optimization.
Appl. Math. Comput., 2018

2016
A Variable Metric Forward-Backward Method with Extrapolation.
SIAM J. Sci. Comput., 2016

Scaling Techniques for ε-Subgradient Methods.
SIAM J. Optim., 2016

Numerical minimization of a second-order functional for image segmentation.
Commun. Nonlinear Sci. Numer. Simul., 2016

2015
Numerical Methods for Parameter Estimation in Poisson Data Inversion.
J. Math. Imaging Vis., 2015

Reprint of Inexact Bregman iteration for deconvolution of superimposed extended and point sources.
Commun. Nonlinear Sci. Numer. Simul., 2015

Inexact Bregman iteration for deconvolution of superimposed extended and point sources.
Commun. Nonlinear Sci. Numer. Simul., 2015

2014
An alternating extragradient method with non euclidean projections for saddle point problems.
Comput. Optim. Appl., 2014

Primal-dual first order methods for total variation image restoration in presence of poisson noise.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Guest editorial.
Comput. Optim. Appl., 2013

2012
On the Convergence of Primal-Dual Hybrid Gradient Algorithms for Total Variation Image Restoration.
J. Math. Imaging Vis., 2012

2010
Iterative regularization algorithms for constrained image deblurring on graphics processors.
J. Glob. Optim., 2010

2007
On the solution of indefinite systems arising in nonlinear programming problems.
Numer. Linear Algebra Appl., 2007

Some iterative methods for the solution of a symmetric indefinite KKT system.
Comput. Optim. Appl., 2007

Inner solvers for interior point methods for large scale nonlinear programming.
Comput. Optim. Appl., 2007

2006
A preconditioner for solving large-scale variational inequality problems by a semismooth inexact approach.
Int. J. Comput. Math., 2006

2005
An inexact Newton method combined with Hestenes multipliers' scheme for the solution of Karush-Kuhn-Tucker systems.
Appl. Math. Comput., 2005

2003
Numerical solution of special linear and quadratic programs via a parallel interior-point method.
Parallel Comput., 2003

Indefinitely preconditioned conjugate gradient method for large sparse equality and inequality constrained quadratic problems.
Numer. Linear Algebra Appl., 2003

1998
A minimization method for the solution of large symmetriric eigenproblems.
Int. J. Comput. Math., 1998

1997
Splitting methods for quadratic optimization in data analysis.
Int. J. Comput. Math., 1997

1995
Implementation of splitting methods for solving block tridiagonal linear systems on transputers.
Proceedings of the 3rd Euromicro Workshop on Parallel and Distributed Processing (PDP '95), 1995

An Application of the Indirect Approximation Problem on Heterogeneous Computer Systems.
Proceedings of the Parallel Computing: State-of-the-Art and Perspectives, 1995

1994
A Polynomial Preconditioner for Block Tridiagonal Matrices.
Parallel Algorithms Appl., 1994

1993
A Parallel Preconditioner for Block Tridiagonal Matrices.
Proceedings of the Parallel Computing: Trends and Applications, 1993

1989
Solving large systems of linear ordinary differential equations on a vector computer.
Parallel Comput., 1989


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