Finite-dimensional variational inequalities and complementarity problems F Facchinei, JS Pang Springer New York, 2003 | 6272 | 2003 |
Generalized Nash equilibrium problems F Facchinei, C Kanzow Annals of Operations Research 175 (1), 177-211, 2010 | 708 | 2010 |
Generalized Nash equilibrium problems F Facchinei, C Kanzow 4or 5 (3), 173-210, 2007 | 579 | 2007 |
A semismooth equation approach to the solution of nonlinear complementarity problems T De Luca, F Facchinei, C Kanzow Mathematical programming 75, 407-439, 1996 | 498 | 1996 |
A smoothing method for mathematical programs with equilibrium constraints F Facchinei, H Jiang, L Qi Mathematical programming 85 (1), 107, 1999 | 426 | 1999 |
Convex optimization, game theory, and variational inequality theory G Scutari, DP Palomar, F Facchinei, JS Pang IEEE Signal Processing Magazine 27 (3), 35-49, 2010 | 404 | 2010 |
On generalized Nash games and variational inequalities F Facchinei, A Fischer, V Piccialli Operations Research Letters 35 (2), 159-164, 2007 | 366 | 2007 |
A new merit function for nonlinear complementarity problems and a related algorithm F Facchinei, J Soares SIAM Journal on Optimization 7 (1), 225-247, 1997 | 351 | 1997 |
Parallel and Distributed Methods for Constrained Nonconvex Optimization-Part I: Theory. G Scutari, F Facchinei, L Lampariello IEEE Trans. Signal Processing 65 (8), 1929-1944, 2017 | 333* | 2017 |
Decomposition by partial linearization: Parallel optimization of multi-agent systems G Scutari, F Facchinei, P Song, DP Palomar, JS Pang IEEE Transactions on Signal Processing 62 (3), 641-656, 2013 | 331 | 2013 |
On the accurate identification of active constraints F Facchinei, A Fischer, C Kanzow SIAM Journal on Optimization 9 (1), 14-32, 1998 | 266 | 1998 |
Distributed power allocation with rate constraints in Gaussian parallel interference channels JS Pang, G Scutari, F Facchinei, C Wang IEEE Transactions on Information Theory 54 (8), 3471-3489, 2008 | 258 | 2008 |
Design of cognitive radio systems under temperature-interference constraints: A variational inequality approach JS Pang, G Scutari, DP Palomar, F Facchinei IEEE Transactions on Signal Processing 58 (6), 3251-3271, 2010 | 251 | 2010 |
A nonsmooth inexact Newton method for the solution of large-scale nonlinear complementarity problems F Facchinei, C Kanzow Mathematical Programming 76 (3), 493-512, 1997 | 245 | 1997 |
A game-theoretic approach to computation offloading in mobile cloud computing V Cardellini, V De Nitto Personé, V Di Valerio, F Facchinei, V Grassi, ... Mathematical Programming 157, 421-449, 2016 | 237 | 2016 |
Real and complex monotone communication games G Scutari, F Facchinei, JS Pang, DP Palomar IEEE Transactions on Information Theory 60 (7), 4197-4231, 2014 | 218 | 2014 |
12 nash equilibria: the variational approach F Facchinei, JS Pang Convex optimization in signal processing and communications, 443, 2010 | 194 | 2010 |
Generalized Nash equilibrium problems and Newton methods F Facchinei, A Fischer, V Piccialli Mathematical Programming 117 (1), 163-194, 2009 | 185 | 2009 |
Parallel selective algorithms for nonconvex big data optimization F Facchinei, G Scutari, S Sagratella IEEE Transactions on Signal Processing 63 (7), 1874-1889, 2015 | 183 | 2015 |
Quadratically and superlinearly convergent algorithms for the solution of inequality constrained minimization problems F Facchinei, S Lucidi Journal of Optimization Theory and Applications 85, 265-289, 1995 | 174 | 1995 |