Massimo Roma

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 18

Top Topics

Disease Outbreaks

Convex Optimization

Conjugate Gradient Method

Top Venues

Comput. Optim. Appl.

Publications

Gianni Di Pillo, Marcello Fabiano, Stefano Lucidi, Massimo Roma
A two-objective optimization of ship itineraries for a cruise company. 4OR 21 (4) (2023)
Christian Piermarini, Massimo Roma
A Simulation-Based Optimization approach for analyzing the ambulance diversion phenomenon in an Emergency-Department network. CoRR (2023)
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) (2023)
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) (2022)
Gianni Di Pillo, Marcello Fabiano, Stefano Lucidi, Massimo Roma
Cruise itineraries optimal scheduling. Optim. Lett. 15 (5) (2021)
Giordano Fava, Tommaso Giovannelli, Mauro Messedaglia, Massimo Roma
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation. CoRR (2021)
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) (2020)
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) (2020)
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) (2020)
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) (2018)
Andrea Caliciotti, Giovanni Fasano, Massimo Roma
Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation. Appl. Math. Comput. 318 (2018)
Renato De Leone, Giovanni Fasano, Massimo Roma, Yaroslav D. Sergeyev
How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions. LION (2018)
Andrea Caliciotti, Giovanni Fasano, Massimo Roma
Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods. Optim. Lett. 11 (4) (2017)
Mehiddin Al-Baali, Andrea Caliciotti, Giovanni Fasano, Massimo Roma
Exploiting damped techniques for nonlinear conjugate gradient methods. Math. Methods Oper. Res. 86 (3) (2017)
Gianni Di Pillo, Massimo Roma
Guest editorial. Comput. Optim. Appl. 65 (2) (2016)
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) (2016)
Giovanni Fasano, Massimo Roma
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization. Comput. Optim. Appl. 65 (2) (2016)
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) (2016)
Giovanni Fasano, Massimo Roma
Preconditioning Newton-Krylov methods in nonconvex large scale optimization. Comput. Optim. Appl. 56 (2) (2013)
Gianni Di Pillo, Massimo Roma
Guest editorial. Comput. Optim. Appl. 53 (2) (2012)
Gianni Di Pillo, Massimo Roma
Guest editorial. Comput. Optim. Appl. 45 (2) (2010)
Giovanni Fasano, Massimo Roma
Iterative computation of negative curvature directions in large scale optimization. Comput. Optim. Appl. 38 (1) (2007)
Massimo Roma
Dynamic scaling based preconditioning for truncated Newton methods in large scale unconstrained optimization. Optim. Methods Softw. 20 (6) (2005)
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) (1999)
Stefano Lucidi, Francesco Rochetich, Massimo Roma
Curvilinear Stabilization Techniques for Truncated Newton Methods in Large Scale Unconstrained Optimization. SIAM J. Optim. 8 (4) (1998)
Stefano Lucidi, Laura Palagi, Massimo Roma
On Some Properties of Quadratic Programs with a Convex Quadratic Constraint. SIAM J. Optim. 8 (1) (1998)
Stefano Lucidi, Massimo Roma
Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization. Comput. Optim. Appl. 7 (1) (1997)
Michael C. Ferris, Stefano Lucidi, Massimo Roma
Nonmonotone curvilinear line search methods for unconstrained optimization. Comput. Optim. Appl. 6 (2) (1996)
Stefano Lucidi, Massimo Roma
Nonmonotone conjugate gradient methods for optimization. System Modelling and Optimization (1993)