Pubblicazioni di Roma Massimo
2025
Fasano G., Piermarini C., Roma M.
Exploiting effective negative curvature directions via SYMMBK algorithm, in Newton–Krylov methods. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2025: -
2024
Fasano Giovanni, Piermarini Christian, Roma Massimo
Boresta Marco, Giovannelli Tommaso, Roma Massimo
Managing low–acuity patients in an Emergency Department through simulation–based multiobjective optimization using a neural network metamodel. HEALTH CARE MANAGEMENT SCIENCE 2024: 415-435
Fasano Giovanni, Piermarini Christian, Roma Massimo
On the Use of the SYMMBK Algorithm for Computing Negative Curvature Directions Within Newton–Krylov Methods. Optimization in Green Sustainability and Ecological Transition ODS, Ischia, Italy, September 4–7, 2023 2024: 95-105
2023
DI PILLO Gianni, Fabiano Marcello, Lucidi Stefano, Roma Massimo
Piermarini Christian, Roma Massimo
The Ambulance Diversion phenomenon in an Emergency Department network: a case study.. Optimization and Decision Science: Operations Research, Inclusion and Equity 2023: -
2022
De Santis A., Giovannelli T., Lucidi S., Messedaglia M., Roma M.
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department. ANNALS OF OPERATIONS RESEARCH 2022: -
Fasano G., Roma M.
An Improvement of the Pivoting Strategy in the Bunch and Kaufman Decomposition, Within Truncated Newton Methods. AIRO Springer Series 2022: 49-59
2021
De Santis A., Giovannelli T., Lucidi S., Messedaglia M., Roma M.
Determining the optimal piecewise constant approximation for the nonhomogeneous Poisson process rate of Emergency Department patient arrivals. FLEXIBLE SERVICES AND MANUFACTURING JOURNAL 2021: -
Fava G., Giovannelli T., Messedaglia M., Roma M.
2020
Al-Baali Mehiddin, Caliciotti Andrea, Fasano Giovanni, Roma Massimo
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization. SIAM JOURNAL ON OPTIMIZATION 2020: 1954-1979
DI PILLO Gianni, Fabiano Marcello, Lucidi Stefano, Roma Massimo
Cruise itineraries optimal scheduling. OPTIMIZATION LETTERS 2020: -
Caliciotti Andrea, Fasano Giovanni, Potra Florian, Roma Massimo
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton’s equation. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2020: -
De Leone Renato, Fasano Giovanni, Roma Massimo, Sergeyev Yaroslav D.
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 2020: 554-589
2019
De Leone R., Fasano G., Roma M., Sergeyev Y. D.
How grossone can be helpful to iteratively compute negative curvature directions. Learning and Intelligent Optimization 2019: 180-183
2018
Caliciotti Andrea, Fasano Giovanni, Nash Stephen G., Roma Massimo
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization. OPERATIONS RESEARCH LETTERS 2018: 7-12
Caliciotti Andrea, Fasano Giovanni, Nash S. G., Roma Massimo
Caliciotti Andrea, Fasano Giovanni, Roma Massimo
Preconditioned nonlinear conjugate gradient methods based on a modified secant equation. APPLIED MATHEMATICS AND COMPUTATION 2018: 196-214
Al-Baali Mehiddin, Caliciotti Andrea, Fasano Giovanni, Roma Massimo
Quasi-Newton based preconditioning and damped quasi-Newton schemes for nonlinear conjugate gradient methods. Numerical analysis and optimization 2018: 1-21
2017
Al Baali M, Caliciotti Andrea, Fasano Giovanni, Roma Massimo
Exploiting damped techniques for nonlinear conjugate gradient methods. MATHEMATICAL METHODS OF OPERATIONS RESEARCH 2017: 501-522
Caliciotti Andrea, Giovanni Fasano, Roma Massimo
Novel preconditioners based on quasi–Newton updates for nonlinear conjugate gradient methods. OPTIMIZATION LETTERS 2017: 835-853
2016
Lucidi Stefano, Maurici Massimo, Paulon Luca, Rinaldi Francesco, Roma Massimo
A derivative-free approach for a simulation-based optimization problem in healthcare. OPTIMIZATION LETTERS 2016: 219-235
Giovanni Fasano, Roma Massimo
A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2016: 399-429
Lucidi Stefano, Maurici Massimo, Paulon Luca, Rinaldi Francesco, Roma Massimo
A simulation-based multiobjective optimization approach for health care service management. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2016: 1480-1491
Di Pillo Gianni, Roma Massimo
Guest editorial. Erice 2013 - Nonlinear Optimization: a Bridge from Theory to Applications - Special issue of COMPUTATIONAL OPTIMZATION AND APPLICATIONS 2016: 309-311
DI PILLO Gianni, Roma Massimo
2013
A. Huerta, S. Brizi, M. Elizondo, Roma Massimo
Analyzing the main and the second order effects of operational policies on the warehouse productivity. Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World 2013: 3950-3951
DI PILLO Gianni, Roma Massimo
Giovanni Fasano, Roma Massimo
Preconditioning Newton-Krylov methods in nonconvex large scale optimization. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2013: 253-290
2012
DI PILLO Gianni, Roma Massimo
Giovanni Fasano, Roma Massimo
Preconditioning Large Indefinite Linear Systems. MAGALLAT GAMI'AT AL-SULTAN QABUS LI-L-BUHUT AL-'ILMIYYAT AL-'ULUM WA-AL-HANDASAT 2012: 63-79
G. Fasano, Roma Massimo
Quasi-Newton Updates for Preconditioned Nonlinear Conjugate Gradient Methods. Recent Advances in Nonlinear Optimization and Equilibrium Problems: a tribute to Marco D'Apuzzo 2012: 175-200
2011
G. Fasano, Roma Massimo
G. Fasano, Roma Massimo
2010
DI PILLO Gianni, Roma Massimo
Erice 2007: Nonlinear Optimization. 2010: 205-474
DI PILLO Gianni, Roma Massimo
Guest Editorial - Erice 2007 Nonlinear Optimization - Special Issue of COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. Erice 2007 Nonlinear Optimization - Special issue of COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2010: 205-207
DI PILLO Gianni, Roma Massimo
2007
Giovanni Fasano, Roma Massimo
Iterative computation of negative curvature directions in large scale optimization. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2007: 81-104
DI PILLO Gianni, Roma Massimo
2006
G. Fasano, Roma Massimo
AN APPROXIMATE INVERSE PRECONDITIONER IN TRUNCATED NEWTON METHODS FOR LARGE SCALE OPTIMIZATION. COMMUNICATIONS TO SIMAI CONGRESS 2006: 1-3
DI PILLO Gianni, Roma Massimo
Large Scale Nonlinear Optimization. 2006: 1-297
2005
Roma Massimo
Dynamic scaling based preconditioning for truncated Newton methods in large scale unconstrained optimization. OPTIMIZATION METHODS & SOFTWARE 2005: 693-713
2000
Gould N., Lucidi Stefano, Roma Massimo, Toint P.
EXPLOITING NEGATIVE CURVATURE DIRECTIONS IN LINESEARCH METHODS FOR UNCONSTRAINED OPTIMIZATION. OPTIMIZATION METHODS & SOFTWARE 2000: 75-98
1999
Gould N., Lucidi Stefano, Roma Massimo, Toint P.
SOLVING THE TRUST-REGION SUBPROBLEM USING THE LANCZOS METHOD. SIAM JOURNAL ON OPTIMIZATION 1999: 504-525