Massimo Roma

CoRR, 2023

A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department.

[BibT_eX]

[DOI]

Ann. Oper. Res., 2023

2022

Effect of different patient peak arrivals on an emergency department via discrete event simulation: a case study.

[BibT_eX]

[DOI]

Simul., 2022

2021

Cruise itineraries optimal scheduling.

[BibT_eX]

[DOI]

Optim. Lett., 2021

Effect of different patient peak arrivals on an Emergency Department via discrete event simulation.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2020

Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2020

Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2020

2018

An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization.

[BibT_eX]

[DOI]

Oper. Res. Lett., 2018

Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation.

[BibT_eX]

[DOI]

Andrea Caliciotti

Appl. Math. Comput., 2018

How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions.

[BibT_eX]

[DOI]

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2017

Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods.

[BibT_eX]

[DOI]

Andrea Caliciotti

Optim. Lett., 2017

Exploiting damped techniques for nonlinear conjugate gradient methods.

[BibT_eX]

[DOI]

Math. Methods Oper. Res., 2017

2016

A Simulation-Based Multiobjective Optimization Approach for Health Care Service Management.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2016

A derivative-free approach for a simulation-based optimization problem in healthcare.

[BibT_eX]

[DOI]

Optim. Lett., 2016

A novel class of approximate inverse preconditioners for large positive definite linear systems in optimization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2016

2013

Preconditioning Newton-Krylov methods in nonconvex large scale optimization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2013

2012

Guest editorial.

[BibT_eX]

[DOI]

Gianni Di Pillo

Comput. Optim. Appl., 2012

2009

Large Scale Unconstrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

2007

Iterative computation of negative curvature directions in large scale optimization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2007

2005

Dynamic scaling based preconditioning for truncated Newton methods in large scale unconstrained optimization.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2005

1999

Solving the Trust-Region Subproblem using the Lanczos Method.

[BibT_eX]

[DOI]

SIAM J. Optim., 1999

1998

Curvilinear Stabilization Techniques for Truncated Newton Methods in Large Scale Unconstrained Optimization.

[BibT_eX]

[DOI]

Francesco Rochetich

SIAM J. Optim., 1998

On Some Properties of Quadratic Programs with a Convex Quadratic Constraint.

[BibT_eX]

[DOI]

Laura Palagi

SIAM J. Optim., 1998

1997

Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 1997

1996

Nonmonotone curvilinear line search methods for unconstrained optimization.

[BibT_eX]

[DOI]

Michael C. Ferris

Comput. Optim. Appl., 1996

1993

Nonmonotone conjugate gradient methods for optimization.

[BibT_eX]

[DOI]