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2020 – today
- 2023
[j25]Gianni Di Pillo, Marcello Fabiano, Stefano Lucidi, Massimo Roma
:
A two-objective optimization of ship itineraries for a cruise company. 4OR 21(4): 683-709 (2023)- [j24]Alberto De Santis, Tommaso Giovannelli, Stefano Lucidi, Mauro Messedaglia, Massimo Roma:
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department. Ann. Oper. Res. 320(2): 727-756 (2023) - [i2]Christian Piermarini, Massimo Roma:
A Simulation-Based Optimization approach for analyzing the ambulance diversion phenomenon in an Emergency-Department network. CoRR abs/2309.00643 (2023) - 2022
- [j23]Giordano Fava, Tommaso Giovannelli, Mauro Messedaglia, Massimo Roma:
Effect of different patient peak arrivals on an emergency department via discrete event simulation: a case study. Simul. 98(3): 161-181 (2022) - 2021
- [j22]Gianni Di Pillo, Marcello Fabiano, Stefano Lucidi, Massimo Roma:
Cruise itineraries optimal scheduling. Optim. Lett. 15(5): 1665-1689 (2021) - [i1]Giordano Fava, Tommaso Giovannelli, Mauro Messedaglia, Massimo Roma:
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation. CoRR abs/2101.12432 (2021) - 2020
- [j21]Andrea Caliciotti, Giovanni Fasano, Florian A. Potra, Massimo Roma:
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation. Comput. Optim. Appl. 77(3): 627-651 (2020) - [j20]Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev:
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization. J. Optim. Theory Appl. 186(2): 554-589 (2020) - [j19]Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization. SIAM J. Optim. 30(3): 1954-1979 (2020)
2010 – 2019
- 2018
- [j18]Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation. Appl. Math. Comput. 318: 196-214 (2018) - [j17]Andrea Caliciotti, Giovanni Fasano, Stephen G. Nash, Massimo Roma:
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization. Oper. Res. Lett. 46(1): 7-12 (2018) - [c2]Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev:
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions. LION 2018: 180-183 - 2017
- [j16]Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
Exploiting damped techniques for nonlinear conjugate gradient methods. Math. Methods Oper. Res. 86(3): 501-522 (2017) - [j15]Andrea Caliciotti, Giovanni Fasano, Massimo Roma:
Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods. Optim. Lett. 11(4): 835-853 (2017) - 2016
- [j14]Gianni Di Pillo, Massimo Roma:
Guest editorial. Comput. Optim. Appl. 65(2): 309-311 (2016) - [j13]Giovanni Fasano, Massimo Roma:
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization. Comput. Optim. Appl. 65(2): 399-429 (2016) - [j12]Stefano Lucidi, Massimo Maurici, Luca Paulon, Francesco Rinaldi, Massimo Roma:
A derivative-free approach for a simulation-based optimization problem in healthcare. Optim. Lett. 10(2): 219-235 (2016) - [j11]Stefano Lucidi, Massimo Maurici, Luca Paulon, Francesco Rinaldi, Massimo Roma:
A Simulation-Based Multiobjective Optimization Approach for Health Care Service Management. IEEE Trans Autom. Sci. Eng. 13(4): 1480-1491 (2016) - 2013
- [j10]Giovanni Fasano, Massimo Roma:
Preconditioning Newton-Krylov methods in nonconvex large scale optimization. Comput. Optim. Appl. 56(2): 253-290 (2013) - 2012
- [j9]Gianni Di Pillo, Massimo Roma:
Guest editorial. Comput. Optim. Appl. 53(2): 297-299 (2012) - 2010
- [j8]Gianni Di Pillo, Massimo Roma:
Guest editorial. Comput. Optim. Appl. 45(2): 205-207 (2010)
2000 – 2009
- 2009
- [r1]Massimo Roma:
Large Scale Unconstrained Optimization. Encyclopedia of Optimization 2009: 1831-1838 - 2007
- [j7]Giovanni Fasano, Massimo Roma:
Iterative computation of negative curvature directions in large scale optimization. Comput. Optim. Appl. 38(1): 81-104 (2007) - 2005
- [j6]Massimo Roma:
Dynamic scaling based preconditioning for truncated Newton methods in large scale unconstrained optimization. Optim. Methods Softw. 20(6): 693-713 (2005)
1990 – 1999
- 1999
- [j5]Nicholas I. M. Gould, Stefano Lucidi, Massimo Roma, Philippe L. Toint:
Solving the Trust-Region Subproblem using the Lanczos Method. SIAM J. Optim. 9(2): 504-525 (1999) - 1998
- [j4]Stefano Lucidi, Laura Palagi, Massimo Roma:
On Some Properties of Quadratic Programs with a Convex Quadratic Constraint. SIAM J. Optim. 8(1): 105-122 (1998) - [j3]Stefano Lucidi, Francesco Rochetich, Massimo Roma:
Curvilinear Stabilization Techniques for Truncated Newton Methods in Large Scale Unconstrained Optimization. SIAM J. Optim. 8(4): 916-939 (1998) - 1997
- [j2]Stefano Lucidi, Massimo Roma:
Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization. Comput. Optim. Appl. 7(1): 71-87 (1997) - 1996
- [j1]Michael C. Ferris, Stefano Lucidi, Massimo Roma:
Nonmonotone curvilinear line search methods for unconstrained optimization. Comput. Optim. Appl. 6(2): 117-136 (1996) - 1993
- [c1]Stefano Lucidi, Massimo Roma:
Nonmonotone conjugate gradient methods for optimization. System Modelling and Optimization 1993: 206-214
Coauthor Index
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