| Parallel selective algorithms for nonconvex big data optimization F Facchinei, G Scutari, S Sagratella IEEE Transactions on Signal Processing 63 (7), 1874-1889, 2015 | 186 | 2015 |
| On the solution of the KKT conditions of generalized Nash equilibrium problems A Dreves, F Facchinei, C Kanzow, S Sagratella SIAM Journal on Optimization 21 (3), 1082-1108, 2011 | 178 | 2011 |
| Solving quasi-variational inequalities via their KKT conditions F Facchinei, C Kanzow, S Sagratella Mathematical Programming 144, 369-412, 2014 | 137 | 2014 |
| On the computation of all solutions of jointly convex generalized Nash equilibrium problems F Facchinei, S Sagratella Optimization Letters 5, 531-547, 2011 | 59 | 2011 |
| Algorithms for generalized potential games with mixed-integer variables S Sagratella Computational Optimization and Applications 68 (3), 689-717, 2017 | 58 | 2017 |
| Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces Y Shehu, A Gibali, S Sagratella Journal of Optimization Theory and Applications 184 (3), 877-894, 2020 | 52 | 2020 |
| Computing all solutions of Nash equilibrium problems with discrete strategy sets S Sagratella SIAM Journal on Optimization 26 (4), 2190-2218, 2016 | 46 | 2016 |
| The semismooth Newton method for the solution of quasi-variational inequalities F Facchinei, C Kanzow, S Karl, S Sagratella Computational Optimization and Applications 62, 85-109, 2015 | 44 | 2015 |
| Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality D Aussel, S Sagratella Mathematical Methods of Operations Research 85 (1), 3-18, 2017 | 43 | 2017 |
| A bridge between bilevel programs and Nash games L Lampariello, S Sagratella Journal of Optimization Theory and Applications 174 (2), 613-635, 2017 | 36 | 2017 |
| Flexible parallel algorithms for big data optimization F Facchinei, S Sagratella, G Scutari 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 33 | 2014 |
| QVILIB: A library of quasi-variational inequality test problems F Facchinei, C Kanzow, S Sagratella Inst. of Math., 2012 | 33 | 2012 |
| Numerically tractable optimistic bilevel problems L Lampariello, S Sagratella Computational Optimization and Applications 76 (2), 277-303, 2020 | 30 | 2020 |
| Combining local and global direct derivative-free optimization for reinforcement learning M Leonetti, P Kormushev, S Sagratella Cybernetics and Information Technologies 12 (3), 53-65, 2012 | 27 | 2012 |
| Computing equilibria of Cournot oligopoly models with mixed-integer quantities S Sagratella Mathematical Methods of Operations Research 86 (3), 549-565, 2017 | 26 | 2017 |
| On generalized Nash equilibrium problems with linear coupling constraints and mixed-integer variables S Sagratella Optimization 68 (1), 197-226, 2019 | 25 | 2019 |
| Equilibrium selection for multi-portfolio optimization L Lampariello, C Neumann, JM Ricci, S Sagratella, O Stein European Journal of Operational Research 295 (1), 363-373, 2021 | 23 | 2021 |
| A canonical duality approach for the solution of affine quasi-variational inequalities V Latorre, S Sagratella Journal of Global Optimization 64, 433-449, 2016 | 23 | 2016 |
| The noncooperative fixed charge transportation problem S Sagratella, M Schmidt, N Sudermann-Merx European Journal of Operational Research 284 (1), 373-382, 2020 | 22 | 2020 |
| The standard pessimistic bilevel problem L Lampariello, S Sagratella, O Stein SIAM Journal on Optimization 29 (2), 1634-1656, 2019 | 22 | 2019 |
Lorenzo LamparielloDepartment of Business Studies, Roma Tre UniversityEmail verificata su uniroma3.it
