MOSCARDELLI, Luca

MOSCARDELLI, Luca  

DIPARTIMENTO DI ECONOMIA  

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Risultati 1 - 20 di 102 (tempo di esecuzione: 0.018 secondi).
Titolo Data di pubblicazione Autore(i) File
Additively Separable Hedonic Games with Social Context 2021 Monaco, Gianpiero; Moscardelli, Luca; Velaj, Yllka
AI for Sustainability: Research at Ud’A Node 2024 Amato, G.; Amelio, A.; Caroprese, L.; Chiacchiaretta, P.; Fioravanti, F.; Ippoliti, L.; Meo, M. C.; Monaco, G.; Morbidoni, C.; Moscardelli, L.; Parton, M.; Scozzari, F.
AI for Sustainability: Research at Ud’A Node 2024 Amato, G.; Amelio, A.; Caroprese, L.; Chiacchiaretta, P.; Fioravanti, F.; Ippoliti, L.; Meo, M. C.; Monaco, G.; Morbidoni, C.; Moscardelli, L.; Parton, M.; Scozzari, F.
An Exponential Improvement on the MST Heuristic for Minimum Energy Broadcasting in Ad Hoc Wireless Networks 2013 Ioannis, Caragiannis; Michele, Flammini; Moscardelli, Luca
An exponential improvement on the MST heuristic for the Minimum Energy Broadcasting problem 2007 I., Caragiannis; M., Flammini; Moscardelli, Luca
Approximating the Traffic Grooming Problem 2005 M., Flammini; Moscardelli, Luca; M., Shalom; S., Zaks
Approximating the Traffic Grooming Problem 2008 M., Flammini; Moscardelli, Luca; M., Shalom; S., Zaks
Approximating the Traffic Grooming Problem in Tree and Star Networks 2006 Flammini, M.; Monaco, G.; Moscardelli, Luca; Shalom, M.; Zaks, S.
Approximating the Traffic Grooming Problem in Tree and Star Networks 2008 Flammini, M.; Monaco, G.; Moscardelli, Luca; Shalom, M.; Zaks, S.
Approximating the Traffic Grooming Problem with respect to ADMs and OADMs 2008 Flammini, M.; Monaco, G.; Moscardelli, Luca; Shalom, M.; Zaks, S.
Artificial Intelligence and Renegotiation of Commercial Lease Contracts Affected by Pandemic-Related Contingencies from Covid-19. The Project A.I.A.Co. 2024 Parton, Maurizio; Angelone, Marco; Metta, Carlo; D’Ovidio, Stefania; Massarelli, Roberta; Moscardelli, Luca; Amato, Gianluca; De Nobili, Cristiano
Artificial Intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from COVID-19. The Project A.I.A.CO. 2023 Parton, Maurizio; Angelone, Marco; Metta, Carlo; D'Ovidio, Stefania; Massarelli, Roberta; Moscardelli, Luca; Amato, Gianluca
Asymptotically Optimal Solutions for Small World Graphs 2008 M., Flammini; Moscardelli, Luca; A., Navarra; S., Perennes
Asymptotically Optimal Solutions for Small World Graphs 2005 M., Flammini; Moscardelli, Luca; A., Navarra; S., Perennes
Brief Announcement: Graphical Congestion Games with Linear Latencies 2008 V., Bilò; A., Fanelli; M., Flammini; Moscardelli, Luca
Computing approximate nash equilibria in network congestion games with polynomially decreasing cost functions 2015 Biló, Vittorio; Flammini, Michele; Monaco, Gianpiero; Moscardelli, Luca
Computing approximate Nash equilibria in network congestion games with polynomially decreasing cost functions 2021 Bilo, V.; Flammini, M.; Monaco, G.; Moscardelli, L.
Convergence Issues in Congestion Games 2013 Moscardelli, Luca
Designing Fast Converging Cost Sharing Methods for Multicast Transmissions 2010 Vittorio, Bilò; Angelo, Fanelli; Michele, Flammini; Giovanna, Melideo; Moscardelli, Luca
Experimental Evaluation of Algorithms for IP Table Minimization 2007 A., Fanelli; M., Flammini; D., Mango; G., Melideo; Moscardelli, Luca