Stefania Bellavia
Orcid: 0000-0002-3691-7836
According to our database1,
Stefania Bellavia
authored at least 45 papers
between 1998 and 2024.
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Bibliography
2024
An investigation of stochastic trust-region based algorithms for finite-sum minimization.
Optim. Methods Softw., 2024
IEEE Access, 2024
2023
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
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
Math. Program., 2019
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
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
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
Comput. Optim. Appl., 2012
2011
SIAM J. Sci. Comput., 2011
SIAM J. Sci. Comput., 2011
Computational experience with numerical methods for nonnegative least-squares problems.
Numer. Linear Algebra Appl., 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
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
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006
2005
Optim. Methods Softw., 2005
2004
Convergence Analysis of an Inexact Infeasible Interior Point Method for Semidefinite Programming.
Comput. Optim. Appl., 2004
Comput. Optim. Appl., 2004
2001
A Globally Convergent Newton-GMRES Subspace Method for Systems of Nonlinear Equations.
SIAM J. Sci. Comput., 2001
2000
Proceedings of the Numerical Analysis and Its Applications, 2000
1998