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Margherita Porcelli
Margherita Porcelli
Associate Professor, University of Florence
E-mail confirmado em unifi.it - Página inicial
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The Riemannian Barzilai–Borwein method with nonmonotone line search and the matrix geometric mean computation
B Iannazzo, M Porcelli
IMA Journal of Numerical Analysis 38 (1), 495-517, 2018
882018
TRESNEI, a Matlab trust-region solver for systems of nonlinear equalities and inequalities
B Morini, M Porcelli
Computational Optimization and Applications 51 (1), 27-49, 2012
642012
Finite element model updating for structural applications
M Girardi, C Padovani, D Pellegrini, M Porcelli, L Robol
Journal of Computational and Applied Mathematics 370, 112675, 2020
632020
Updating the regularization parameter in the adaptive cubic regularization algorithm
NIM Gould, M Porcelli, PL Toint
Computational optimization and applications 53, 1-22, 2012
602012
BFO, a trainable derivative-free Brute Force Optimizer for nonlinear bound-constrained optimization and equilibrium computations with continuous and discrete variables
M Porcelli, PL Toint
ACM Transactions on Mathematical Software 44 (1), 25, 2017
592017
Trust-region quadratic methods for nonlinear systems of mixed equalities and inequalities
M Macconi, B Morini, M Porcelli
Applied Numerical Mathematics 59 (5), 859-876, 2009
592009
Preconditioning of Active-Set Newton Methods for PDE-constrained Optimal Control Problems
M Porcelli, V Simoncini, M Tani
SIAM Journal on Scientific Computing 37 (5), S472-S502, 2015
462015
A reduced Newton method for constrained linear least-squares problems
B Morini, M Porcelli, RH Chan
Journal of Computational and Applied Mathematics 233 (9), 2200-2212, 2010
412010
Quasi-Newton methods for constrained nonlinear systems: complexity analysis and application
L MARINI, B MORINI, M PORCELLI
Computational Optimization and Applications, https://doi.org/10.1007/s10589 …, 2018
39*2018
On the convergence of an inexact Gauss–Newton trust-region method for nonlinear least-squares problems with simple bounds
M Porcelli
Optimization Letters 7, 447-465, 2013
342013
Approximate norm descent methods for constrained nonlinear systems
B Morini, M Porcelli, PL Toint
Mathematics of Computation 87, 1327-1351., 2018
312018
A Gauss–Newton method for solving bound-constrained underdetermined nonlinear systems
M Macconi, B Morini, M Porcelli
Optimization Methods & Software 24 (2), 219-235, 2009
292009
Interior Point Methods for PDE-Constrained Optimization Involving Sparsity Terms
JW Pearson, M Porcelli, M Stoll
arXiv preprint arXiv:1806.05896, 2018
28*2018
Preconditioning PDE-constrained optimization with L^1-sparsity and control constraints
M Porcelli, V Simoncini, M Stoll
Computers and Mathematics with Applications 74 (5), 1059-1075, 2017
252017
A solution procedure for constrained eigenvalue problems and its application within the structural finite-element code NOSA-ITACA
M Porcelli, V Binante, M Girardi, C Padovani, G Pasquinelli
CALCOLO 52 (2), 167­-186, 2015
242015
Exploiting problem structure in derivative free optimization
M Porcelli, PL Toint
ACM Transactions on Mathematical Software (TOMS) 48 (1), 1-25, 2022
22*2022
A new modular procedure for industrial plant simulations and its reliable implementation
C Carcasci, L Marini, B Morini, M Porcelli
Energy 94 (1), 380-390, 2016
222016
A relaxed interior point method for low-rank semidefinite programming problems with applications to matrix completion
S Bellavia, J Gondzio, M Porcelli
Journal of Scientific Computing 89 (2), 46, 2021
182021
An inexact dual logarithmic barrier method for solving sparse semidefinite programs
S Bellavia, J Gondzio, M Porcelli
Mathematical Programming Ser. A, 2018
162018
New updates of incomplete LU factorizations and applications to large nonlinear systems
S Bellavia, B Morini, M Porcelli
Optimization Methods and Software 29 (2), 321-340, 2014
152014
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Artigos 1–20