Stefania Bellavia

Orcid: 0000-0002-3691-7836

According to our database1, Stefania Bellavia authored at least 44 papers between 1998 and 2024.

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

Timeline

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Bibliography

2024
A Proposed Workflow for the Restoration of Image Artifacts in Forensic Applications.
IEEE Access, 2024

2023
The Impact of Noise on Evaluation Complexity: The Deterministic Trust-Region Case.
J. Optim. Theory Appl., February, 2023

On the Convergence Properties of a Stochastic Trust-Region Method with Inexact Restoration.
Axioms, January, 2023

Alternate Training of Shared and Task-Specific Parameters for Multi-Task Neural Networks.
CoRR, 2023

Inexact Newton methods with matrix approximation by sampling for nonlinear least-squares and systems.
CoRR, 2023

Regularized methods via cubic subspace minimization for nonconvex optimization.
CoRR, 2023

A stochastic first-order trust-region method with inexact restoration for finite-sum minimization.
Comput. Optim. Appl., 2023

2022
Adaptive regularization for nonconvex optimization using inexact function values and randomly perturbed derivatives.
J. Complex., 2022

Trust-region algorithms: Probabilistic complexity and intrinsic noise with applications to subsampling techniques.
EURO J. Comput. Optim., 2022

2021
A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion.
J. Sci. Comput., 2021

Quadratic and Cubic Regularisation Methods with Inexact function and Random Derivatives for Finite-Sum Minimisation.
Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020
Complexity Analysis of a Stochastic Cubic Regularisation Method under Inexact Gradient Evaluations and Dynamic Hessian Accuracy.
CoRR, 2020

Inexact restoration with subsampled trust-region methods for finite-sum minimization.
Comput. Optim. Appl., 2020

2019
Adaptive Regularization Algorithms with Inexact Evaluations for Nonconvex Optimization.
SIAM J. Optim., 2019

An inexact dual logarithmic barrier method for solving sparse semidefinite programs.
Math. Program., 2019

A relaxed interior point method for low-rank semidefinite programming problems.
CoRR, 2019

2018
A Levenberg-Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients.
Numerische Mathematik, 2018

On an Elliptical Trust-Region Procedure for Ill-Posed Nonlinear Least-Squares Problems.
J. Optim. Theory Appl., 2018

Deterministic and stochastic inexact regularization algorithms for nonconvex optimization with optimal complexity.
CoRR, 2018

2016
On the update of constraint preconditioners for regularized KKT systems.
Comput. Optim. Appl., 2016

On an adaptive regularization for ill-posed nonlinear systems and its trust-region implementation.
Comput. Optim. Appl., 2016

2015
Updating Constraint Preconditioners for KKT Systems in Quadratic Programming Via Low-Rank Corrections.
SIAM J. Optim., 2015

On affine-scaling inexact dogleg methods for bound-constrained nonlinear systems.
Optim. Methods Softw., 2015

2014
New updates of incomplete LU factorizations and applications to large nonlinear systems.
Optim. Methods Softw., 2014

2013
A Matrix-Free Preconditioner for Sparse Symmetric Positive Definite Systems and Least-Squares Problems.
SIAM J. Sci. Comput., 2013

2012
A Preconditioning Framework for Sequences of Diagonally Modified Linear Systems Arising in Optimization.
SIAM J. Numer. Anal., 2012

Constrained Dogleg methods for nonlinear systems with simple bounds.
Comput. Optim. Appl., 2012

2011
Efficient Preconditioner Updates for Shifted Linear Systems.
SIAM J. Sci. Comput., 2011

Nonsymmetric Preconditioner Updates in Newton-Krylov Methods for Nonlinear Systems.
SIAM J. Sci. Comput., 2011

Computational experience with numerical methods for nonnegative least-squares problems.
Numer. Linear Algebra Appl., 2011

Inexact Newton methods for model simulation.
Int. J. Comput. Math., 2011

2010
Convergence of a Regularized Euclidean Residual Algorithm for Nonlinear Least-Squares.
SIAM J. Numer. Anal., 2010

2009
Regularization and preconditioning of KKT systems arising in nonnegative least-squares problems.
Numer. Linear Algebra Appl., 2009

Numerical solution of KKT systems in PDE-constrained optimization problems via the affine scaling trust-region approach.
Int. J. Comput. Math., 2009

2007
Globalization strategies for Newton-Krylov methods for stabilized FEM discretization of Navier-Stokes equations.
J. Comput. Phys., 2007

2006
Subspace Trust-Region Methods for Large Bound-Constrained Nonlinear Equations.
SIAM J. Numer. Anal., 2006

An interior point Newton-like method for non-negative least-squares problems with degenerate solution.
Numer. Linear Algebra Appl., 2006

Inferences on Kernel Density Estimates by Solving Nonlinear Systems.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

2005
An interior global method for nonlinear systems with simple bounds.
Optim. Methods Softw., 2005

2004
Convergence Analysis of an Inexact Infeasible Interior Point Method for Semidefinite Programming.
Comput. Optim. Appl., 2004

STRSCNE: A Scaled Trust-Region Solver for Constrained Nonlinear Equations.
Comput. Optim. Appl., 2004

2001
A Globally Convergent Newton-GMRES Subspace Method for Systems of Nonlinear Equations.
SIAM J. Sci. Comput., 2001

2000
A Hybrid Newton-GMRES Method for Solving Nonlinear Equations.
Proceedings of the Numerical Analysis and Its Applications, 2000

1998
The Switching-Method in Multiple Shooting.
Computing, 1998


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