| 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 | 76 | 2018 |
| 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 | 63 | 2012 |
| 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 | 59 | 2017 |
| 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 | 59 | 2009 |
| Updating the regularization parameter in the adaptive cubic regularization algorithm NIM Gould, M Porcelli, PL Toint Computational optimization and applications 53, 1-22, 2012 | 54 | 2012 |
| 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 | 52 | 2020 |
| 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 | 42 | 2015 |
| 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 | 42 | 2010 |
| 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 | 38* | 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 | 35 | 2013 |
| Approximate norm descent methods for constrained nonlinear systems B Morini, M Porcelli, PL Toint Mathematics of Computation 87, 1327-1351., 2018 | 29 | 2018 |
| 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 | 29 | 2009 |
| Interior Point Methods for PDE-Constrained Optimization Involving Sparsity Terms JW Pearson, M Porcelli, M Stoll arXiv preprint arXiv:1806.05896, 2018 | 27* | 2018 |
| 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 | 24 | 2015 |
| 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 | 23 | 2017 |
| 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 | 21 | 2016 |
| Exploiting problem structure in derivative free optimization M Porcelli, PL Toint ACM Transactions on Mathematical Software (TOMS) 48 (1), 1-25, 2022 | 20* | 2022 |
| 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 | 15 | 2014 |
| 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 | 13 | 2021 |
| An inexact dual logarithmic barrier method for solving sparse semidefinite programs S Bellavia, J Gondzio, M Porcelli Mathematical Programming Ser. A, 2018 | 13 | 2018 |
Benedetta MoriniUniversita degli Studi di Firenze在 unifi.it 的电子邮件经过验证
