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ORCIDMargherita Porcelli
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2020 – today
- 2024
[c2]Laura Cavalli, Domitilla Brandoni, Margherita Porcelli, Eric Pascolo:
Dictionary Learning for data compression within a Digital Twin Framework. Ital-IA 2024: 218-223- 2023
- [j21]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): 191-223 (2023) - [c1]Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis:
Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function. MLSP 2023: 1-6 - [i10]Giovanni Seraghiti, Atharva Awari, Arnaud Vandaele, Margherita Porcelli, Nicolas Gillis:
Accelerated Algorithms for Nonlinear Matrix Decomposition with the ReLU function. CoRR abs/2305.08687 (2023) - [i9]Stefania Bellavia, Davide Palitta, Margherita Porcelli, Valeria Simoncini:
Regularized methods via cubic subspace minimization for nonconvex optimization. CoRR abs/2306.14290 (2023) - 2022
- [j20]Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll:
Improved penalty algorithm for mixed integer PDE constrained optimization problems. Comput. Math. Appl. 116: 2-14 (2022) - [j19]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): 30 (2022) - [j18]Margherita Porcelli, Philippe L. Toint:
Exploiting Problem Structure in Derivative Free Optimization. ACM Trans. Math. Softw. 48(1): 6:1-6:25 (2022) - [i8]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 abs/2208.01947 (2022) - [i7]Margherita Porcelli, Valeria Simoncini:
Numerical solution of a class of quasi-linear matrix equations. CoRR abs/2209.00897 (2022) - 2021
- [j17]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): 46 (2021) - [i6]Domitilla Brandoni, Margherita Porcelli, Valeria Simoncini:
A Tensor-Train Dictionary Learning algorithm based on Spectral Proximal Alternating Linearized Minimization. CoRR abs/2107.11644 (2021) - [i5]Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll:
An Improved Penalty Algorithm using Model Order Reduction for MIPDECO problems with partial observations. CoRR abs/2110.03341 (2021) - 2020
- [j16]Maria Girardi, Cristina Padovani, Daniele Pellegrini, Margherita Porcelli, Leonardo Robol:
Finite element model updating for structural applications. J. Comput. Appl. Math. 370 (2020) - [j15]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) - [i4]Enrico Meli, Benedetta Morini, Margherita Porcelli, Cristina Sgattoni:
Solving nonlinear systems of equations via spectral residual methods: stepsize selection and applications. CoRR abs/2005.05851 (2020)
2010 – 2019
- 2019
- [j14]Stefania Bellavia, Jacek Gondzio, Margherita Porcelli:
An inexact dual logarithmic barrier method for solving sparse semidefinite programs. Math. Program. 178(1-2): 109-143 (2019) - [j13]Margherita Porcelli, Philippe L. Toint:
A Note on Using Performance and Data Profiles for Training Algorithms. ACM Trans. Math. Softw. 45(2): 20:1-20:10 (2019) - [i3]Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi, Martin Stoll:
Improved Penalty Algorithm for Mixed Integer PDE Constrained Optimization (MIPDECO) Problems. CoRR abs/1907.06462 (2019) - [i2]Stefania Bellavia, Jacek Gondzio, Margherita Porcelli:
A relaxed interior point method for low-rank semidefinite programming problems. CoRR abs/1909.06099 (2019) - 2018
- [j12]Leopoldo Marini, Benedetta Morini, Margherita Porcelli:
Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications. Comput. Optim. Appl. 71(1): 147-170 (2018) - [j11]Benedetta Morini, Margherita Porcelli, Philippe L. Toint:
Approximate norm descent methods for constrained nonlinear systems. Math. Comput. 87(311): 1327-1351 (2018) - 2017
- [j10]Margherita Porcelli, Valeria Simoncini, Martin Stoll:
Preconditioning PDE-constrained optimization with L1-sparsity and control constraints. Comput. Math. Appl. 74(5): 1059-1075 (2017) - [j9]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): 6:1-6:25 (2017) - [i1]Margherita Porcelli, Philippe L. Toint:
A note on using performance and data profilesfor training algorithms. CoRR abs/1711.09407 (2017) - 2015
- [j8]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) - 2014
- [j7]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): 565-589 (2014) - [j6]Stefania Bellavia, Benedetta Morini, Margherita Porcelli:
New updates of incomplete LU factorizations and applications to large nonlinear systems. Optim. Methods Softw. 29(2): 321-340 (2014) - 2013
- [j5]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): 447-465 (2013) - 2012
- [j4]Benedetta Morini, Margherita Porcelli:
TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities. Comput. Optim. Appl. 51(1): 27-49 (2012) - [j3]Nicholas I. M. Gould, Margherita Porcelli, Philippe L. Toint:
Updating the regularization parameter in the adaptive cubic regularization algorithm. Comput. Optim. Appl. 53(1): 1-22 (2012) - 2010
- [j2]Benedetta Morini, Margherita Porcelli, Raymond H. Chan:
A reduced Newton method for constrained linear least-squares problems. J. Comput. Appl. Math. 233(9): 2200-2212 (2010)
2000 – 2009
- 2009
- [j1]Maria Macconi, Benedetta Morini, Margherita Porcelli:
A Gauss-Newton method for solving bound-constrained underdetermined nonlinear systems. Optim. Methods Softw. 24(2): 219-235 (2009)
Coauthor Index
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