Margherita Porcelli

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 24

Top Topics

Nonlinear Systems

Constrained Optimization

Matrix Decomposition

Top Venues

ACM Trans. Math. Softw.

Comput. Optim. Appl.

J. Sci. Comput.

Publications

Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis
Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function. CoRR (2023)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations. Comput. Optim. Appl. 84 (1) (2023)
Stefania Bellavia, Davide Palitta, Margherita Porcelli, Valeria Simoncini
Regularized methods via cubic subspace minimization for nonconvex optimization. CoRR (2023)
Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis
Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function. MLSP (2023)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
Improved penalty algorithm for mixed integer PDE constrained optimization problems. Comput. Math. Appl. 116 (2022)
Margherita Porcelli, Valeria Simoncini
Numerical solution of a class of quasi-linear matrix equations. CoRR (2022)
Enrico Meli, Benedetta Morini, Margherita Porcelli, Cristina Sgattoni
Solving Nonlinear Systems of Equations Via Spectral Residual Methods: Stepsize Selection and Applications. J. Sci. Comput. 90 (1) (2022)
Cristina Padovani, Margherita Porcelli
A semidefinite programming approach for the projection onto the cone of negative semidefinite symmetric tensors with applications to solid mechanics. CoRR (2022)
Margherita Porcelli, Philippe L. Toint
Exploiting Problem Structure in Derivative Free Optimization. ACM Trans. Math. Softw. 48 (1) (2022)
Domitilla Brandoni, Margherita Porcelli, Valeria Simoncini
A Tensor-Train Dictionary Learning algorithm based on Spectral Proximal Alternating Linearized Minimization. CoRR (2021)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
An Improved Penalty Algorithm using Model Order Reduction for MIPDECO problems with partial observations. CoRR (2021)
Stefania Bellavia, Jacek Gondzio, Margherita Porcelli
A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion. J. Sci. Comput. 89 (2) (2021)
Maria Girardi, Cristina Padovani, Daniele Pellegrini, Margherita Porcelli, Leonardo Robol
Finite element model updating for structural applications. J. Comput. Appl. Math. 370 (2020)
John W. Pearson, Margherita Porcelli, Martin Stoll
Interior-point methods and preconditioning for PDE-constrained optimization problems involving sparsity terms. Numer. Linear Algebra Appl. 27 (2) (2020)
Enrico Meli, Benedetta Morini, Margherita Porcelli, Cristina Sgattoni
Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications. CoRR (2020)
Stefania Bellavia, Jacek Gondzio, Margherita Porcelli
An inexact dual logarithmic barrier method for solving sparse semidefinite programs. Math. Program. 178 (1-2) (2019)
Margherita Porcelli, Philippe L. Toint
A Note on Using Performance and Data Profiles for Training Algorithms. ACM Trans. Math. Softw. 45 (2) (2019)
Stefania Bellavia, Jacek Gondzio, Margherita Porcelli
A relaxed interior point method for low-rank semidefinite programming problems. CoRR (2019)
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll
Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems. CoRR (2019)
Benedetta Morini, Margherita Porcelli, Philippe L. Toint
Approximate norm descent methods for constrained nonlinear systems. Math. Comput. 87 (311) (2018)
Leopoldo Marini, Benedetta Morini, Margherita Porcelli
Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications. Comput. Optim. Appl. 71 (1) (2018)
Margherita Porcelli, Philippe L. Toint
A note on using performance and data profilesfor training algorithms. CoRR (2017)
Margherita Porcelli, Philippe L. Toint
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. 44 (1) (2017)
Margherita Porcelli, Valeria Simoncini, Martin Stoll
Preconditioning PDE-constrained optimization with L1-sparsity and control constraints. Comput. Math. Appl. 74 (5) (2017)
Margherita Porcelli, Valeria Simoncini, Mattia Tani
Preconditioning of Active-Set Newton Methods for PDE-constrained Optimal Control Problems. SIAM J. Sci. Comput. 37 (5) (2015)
Stefania Bellavia, Benedetta Morini, Margherita Porcelli
New updates of incomplete LU factorizations and applications to large nonlinear systems. Optim. Methods Softw. 29 (2) (2014)
Margherita Porcelli, Francesco Rinaldi
A variable fixing version of the two-block nonlinear constrained Gauss-Seidel algorithm for \(\ell _1\) -regularized least-squares. Comput. Optim. Appl. 59 (3) (2014)
Margherita Porcelli
On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds. Optim. Lett. 7 (3) (2013)
Nicholas I. M. Gould, Margherita Porcelli, Philippe L. Toint
Updating the regularization parameter in the adaptive cubic regularization algorithm. Comput. Optim. Appl. 53 (1) (2012)
Benedetta Morini, Margherita Porcelli
TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities. Comput. Optim. Appl. 51 (1) (2012)
Benedetta Morini, Margherita Porcelli, Raymond H. Chan
A reduced Newton method for constrained linear least-squares problems. J. Comput. Appl. Math. 233 (9) (2010)
Maria Macconi, Benedetta Morini, Margherita Porcelli
A Gauss-Newton method for solving bound-constrained underdetermined nonlinear systems. Optim. Methods Softw. 24 (2) (2009)