Margherita Porcelli

Orcid: 0000-0003-0183-1204

According to our database1, Margherita Porcelli authored at least 30 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Dictionary Learning for data compression within a Digital Twin Framework.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

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

An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations.
Comput. Optim. Appl., 2023

Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022
Exploiting Problem Structure in Derivative Free Optimization.
ACM Trans. Math. Softw., 2022

Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications.
J. Sci. Comput., 2022

Numerical solution of a class of quasi-linear matrix equations.
CoRR, 2022

A semidefinite programming approach for the projection onto the cone of negative semidefinite symmetric tensors with applications to solid mechanics.
CoRR, 2022

Improved penalty algorithm for mixed integer PDE constrained optimization problems.
Comput. Math. Appl., 2022

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

A Tensor-Train Dictionary Learning algorithm based on Spectral Proximal Alternating Linearized Minimization.
CoRR, 2021

2020
Interior-point methods and preconditioning for PDE-constrained optimization problems involving sparsity terms.
Numer. Linear Algebra Appl., 2020

Finite element model updating for structural applications.
J. Comput. Appl. Math., 2020

2019
A Note on Using Performance and Data Profiles for Training Algorithms.
ACM Trans. Math. Softw., 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

Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems.
CoRR, 2019

2018
Approximate norm descent methods for constrained nonlinear systems.
Math. Comput., 2018

Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications.
Comput. Optim. Appl., 2018

2017
BFO, A Trainable Derivative-free Brute Force Optimizer for Nonlinear Bound-constrained Optimization and Equilibrium Computations with Continuous and Discrete Variables.
ACM Trans. Math. Softw., 2017

A note on using performance and data profilesfor training algorithms.
CoRR, 2017

Preconditioning PDE-constrained optimization with L1-sparsity and control constraints.
Comput. Math. Appl., 2017

2015
Preconditioning of Active-Set Newton Methods for PDE-constrained Optimal Control Problems.
SIAM J. Sci. Comput., 2015

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

A variable fixing version of the two-block nonlinear constrained Gauss-Seidel algorithm for \(\ell _1\) -regularized least-squares.
Comput. Optim. Appl., 2014

2013
On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds.
Optim. Lett., 2013

2012
TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities.
Comput. Optim. Appl., 2012

Updating the regularization parameter in the adaptive cubic regularization algorithm.
Comput. Optim. Appl., 2012

2010
A reduced Newton method for constrained linear least-squares problems.
J. Comput. Appl. Math., 2010

2009
A Gauss-Newton method for solving bound-constrained underdetermined nonlinear systems.
Optim. Methods Softw., 2009


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