| Novel preconditioners based on quasi–Newton updates for nonlinear conjugate gradient methods C Andrea, F Giovanni, R Massimo Optimization Letters 11 (4), 835-853, 2017 | 23 | 2017 |
| Preconditioned nonlinear conjugate gradient methods based on a modified secant equation A Caliciotti, G Fasano, M Roma Applied Mathematics and Computation 318, 196-214, 2018 | 22 | 2018 |
| An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization A Caliciotti, G Fasano, SG Nash, M Roma Operations Research Letters 46 (1), 7-12, 2018 | 16 | 2018 |
| Preconditioning strategies for nonlinear conjugate gradient methods, based on quasi-Newton updates C Andrea, F Giovanni, R Massimo AIP conference proceedings 1776 (1), 2016 | 14 | 2016 |
| Exploiting damped techniques for nonlinear conjugate gradient methods M Al-Baali, A Caliciotti, G Fasano, M Roma Mathematical Methods of Operations Research 86, 501-522, 2017 | 13 | 2017 |
| Data and performance profiles applying an adaptive truncation criterion, within linesearch-based truncated Newton methods, in large scale nonconvex optimization A Caliciotti, G Fasano, SG Nash, M Roma Data in Brief 17, 246-255, 2018 | 12 | 2018 |
| Quasi-newton based preconditioning and damped quasi-newton schemes for nonlinear conjugate gradient methods M Al-Baali, A Caliciotti, G Fasano, M Roma Numerical Analysis and Optimization: NAO-IV, Muscat, Oman, January 2017 NAO …, 2018 | 10 | 2018 |
| On predicting ticket reopening for improving customer service in 5g fiber optic networks L Ricciardi Celsi, A Caliciotti, M D'Onorio, E Scocchi, NA Sulieman, ... Future Internet 13 (10), 259, 2021 | 6 | 2021 |
| Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton’s equation A Caliciotti, G Fasano, F Potra, M Roma Computational Optimization and Applications 77 (3), 627-651, 2020 | 5 | 2020 |
| On optimal buffer allocation for guaranteeing quality of service in multimedia internet broadcasting for mobile networks A Caliciotti, LR Celsi International Journal of Control, Automation and Systems 18 (12), 3043-3050, 2020 | 5 | 2020 |
| From regression models to Machine Learning approaches for long term Bitcoin price forecast A Caliciotti, M Corazza, G Fasano Annals of Operations Research, 1-23, 2023 | 3 | 2023 |
| A class of approximate inverse preconditioners based on Krylov-subspace methods for large-scale nonconvex optimization M Al-Baali, A Caliciotti, G Fasano, M Roma SIAM Journal on Optimization 30 (3), 1954-1979, 2020 | 2 | 2020 |
| Advances in large scale unconstrained optimization: novel preconditioning strategies for Nonlinear Conjugate Gradient methods and new developments in Newton-Krylov methods A Caliciotti | | 2018 |
| Exploiting damped techniques for nonlinear conjugate gradient methods AB Mehiddin, C Andrea, G Fasano, R Massimo DEPARTMENT OF COMPUTER, CONTROL, AND MANAGEMENT ENGINEERING ANTONIO RUBERTI …, 2017 | | 2017 |
| Novel Quasi–Newton updates for Preconditioned Nonlinear Conjugate Gradient methods A Caliciotti, G Fasano, M Roma OPTIMIZATION LETTERS 11 (4), 835-853, 2017 | | 2017 |
Giovanni FasanoAssociate Professor, University Ca'Foscari of VeniceEmail verificata su unive.it
