| Solving the trust-region subproblem using the Lanczos method NIM Gould, S Lucidi, M Roma, PL Toint SIAM Journal on Optimization 9 (2), 504-525, 1999 | 408 | 1999 |
| Large-scale nonlinear optimization G Pillo, M Roma Springer Science & Business Media, 2006 | 83 | 2006 |
| Exploiting negative curvature directions in linesearch methods for unconstrained optimization NIM Gould, S Lucidi, M Roma, PL Toint Optimization methods and software 14 (1-2), 75-98, 2000 | 73 | 2000 |
| Curvilinear stabilization techniques for truncated Newton methods in large scale unconstrained optimization S Lucidi, F Rochetich, M Roma SIAM Journal on Optimization 8 (4), 916-939, 1998 | 70 | 1998 |
| On some properties of quadratic programs with a convex quadratic constraint S Lucidi, L Palagi, M Roma SIAM Journal on Optimization 8 (1), 105-122, 1998 | 56 | 1998 |
| A simulation-based multiobjective optimization approach for health care service management S Lucidi, M Maurici, L Paulon, F Rinaldi, M Roma IEEE Transactions on Automation Science and Engineering 13 (4), 1480-1491, 2016 | 51 | 2016 |
| Nonmonotone curvilinear line search methods for unconstrained optimization MC Ferris, S Lucid, M Roma Computational Optimization and Applications 6 (2), 117-136, 1996 | 47 | 1996 |
| Preconditioning Newton–Krylov methods in nonconvex large scale optimization G Fasano, M Roma Computational Optimization and Applications 56, 253-290, 2013 | 39 | 2013 |
| Iterative computation of negative curvature directions in large scale optimization G Fasano, M Roma Computational Optimization and Applications 38, 81-104, 2007 | 34 | 2007 |
| A derivative-free approach for a simulation-based optimization problem in healthcare S Lucidi, M Maurici, L Paulon, F Rinaldi, M Roma Optimization Letters 10, 219-235, 2016 | 31 | 2016 |
| Numerical experiences with new truncated Newton methods in large scale unconstrained optimization S Lucidi, M Roma Computational Issues in High Performance Software for Nonlinear Optimization …, 1997 | 27 | 1997 |
| Novel preconditioners based on quasi–Newton updates for nonlinear conjugate gradient methods C Andrea, F Giovanni, R Massimo Optimization Letters 11 (4), 835-853, 2017 | 25 | 2017 |
| Iterative grossone-based computation of negative curvature directions in large-scale optimization R De Leone, G Fasano, M Roma, YD Sergeyev Journal of Optimization Theory and Applications 186 (2), 554-589, 2020 | 24 | 2020 |
| Preconditioned nonlinear conjugate gradient methods based on a modified secant equation A Caliciotti, G Fasano, M Roma Applied Mathematics and Computation 318, 196-214, 2018 | 24 | 2018 |
| Dynamic scaling based preconditioning for truncated Newton methods in large scale unconstrained optimization M Roma Optimization Methods and Software 20 (6), 693-713, 2005 | 22 | 2005 |
| Nonmonotone conjugate gradient methods for optimization S Lucidi, M Roma System Modelling and Optimization: Proceedings of the 16th IFIP-TC7 …, 2005 | 20 | 2005 |
| Effect of different patient peak arrivals on an emergency department via discrete event simulation: a case study G Fava, T Giovannelli, M Messedaglia, M Roma Simulation 98 (3), 161-181, 2022 | 18 | 2022 |
| An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization A Caliciotti, G Fasano, SG Nash, M Roma Operations Research Letters 46 (1), 7-12, 2018 | 18 | 2018 |
| Preconditioning strategies for nonlinear conjugate gradient methods, based on quasi-Newton updates C Andrea, F Giovanni, R Massimo AIP conference proceedings 1776 (1), 2016 | 16 | 2016 |
| Exploiting damped techniques for nonlinear conjugate gradient methods M Al-Baali, A Caliciotti, G Fasano, M Roma Mathematical Methods of Operations Research 86, 501-522, 2017 | 15 | 2017 |
Stefano LucidiUniversity of Rome La sapienza在 dis.uniroma1.it 的电子邮件经过验证
