Pubblicazioni di Caliciotti Andrea
2021
Ricciardi Celsi Lorenzo, Caliciotti Andrea, D'Onorio Matteo, Scocchi Eugenio, Sulieman Nour Alhuda, Villari Massimo
On Predicting Ticket Reopening for Improving Customer Service in 5G Fiber Optic Networks. FUTURE INTERNET 2021: 1-16
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
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: -
Caliciotti A., Ricciardi Celsi
On Optimal Buffer Allocation for Guaranteeing Quality of Service in Multimedia Internet Broadcasting for Mobile Networks. INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION, AND SYSTEMS 2020: -
2018-02-19
Caliciotti Andrea
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
Caliciotti Andrea, Fasano Giovanni, Roma Massimo
Preconditioning strategies for nonlinear conjugate gradient methods, based on quasi-Newton updates. Numerical computations: theory and algorithms (NUMTA–2016). Proceedings of the 2nd international conference “Numerical computations: theory and agorithms” 2016: -