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massimo.roma@uniroma1.it
Massimo Roma
Professore Associato
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
massimo.roma@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
Managing low–acuity patients in an Emergency Department through simulation–based multiobjective optimization using a neural network metamodel
HEALTH CARE MANAGEMENT SCIENCE
2024
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
Issues on a 2–Dimensional Quadratic Sub–Problem and Its Applications in Nonlinear Programming: Trust–Region Methods (TRMs) and Linesearch Based Methods (LBMs)
ALGORITHMS
2024
A two-objective optimization of ship itineraries for a cruise company
4OR
2023
The Ambulance Diversion phenomenon in an Emergency Department network: a case study.
Optimization and Decision Science: Operations Research, Inclusion and Equity
2023
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department
ANNALS OF OPERATIONS RESEARCH
2022
An Improvement of the Pivoting Strategy in the Bunch and Kaufman Decomposition, Within Truncated Newton Methods
AIRO Springer Series
2022
Determining the optimal piecewise constant approximation for the nonhomogeneous Poisson process rate of Emergency Department patient arrivals
FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
2021
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation
SIMULATION
2021
A Simulation-Based Optimization approach for analyzing the ambulance diversion phenomenon in an Emergency Department network
2021
Cruise itineraries optimal scheduling
OPTIMIZATION LETTERS
2020
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization
SIAM JOURNAL ON OPTIMIZATION
2020
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
2020
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton’s equation
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
2020
How grossone can be helpful to iteratively compute negative curvature directions
Learning and Intelligent Optimization
2019
Preconditioned nonlinear conjugate gradient methods based on a modified secant equation
APPLIED MATHEMATICS AND COMPUTATION
2018
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization
OPERATIONS RESEARCH LETTERS
2018
Data and performance profiles applying an adaptive truncation criterion, within linesearch-based truncated Newton methods in large scale nonconvex optimization
DATA IN BRIEF
2018
Quasi-Newton based preconditioning and damped quasi-Newton schemes for nonlinear conjugate gradient methods
Numerical analysis and optimization
2018
Novel preconditioners based on quasi–Newton updates for nonlinear conjugate gradient methods
OPTIMIZATION LETTERS
2017
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ERC
PE1_20
Interessi di ricerca
Keywords
optimization
Black-box optimization
Simulation
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