Vittorio Bilò is an Associate Professor in the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento, Italy. He received a PhD in Computer Science from the University of L'Aquila in 2005, upon defence of a thesis that was named the best Italian PhD thesis of the year by the Italian Chapter of the European Association for Theoretical Computer Science. His research interests focus on algorithm design and analysis, with a particular predilection for problems arising at the interface between Theoretical Computer Science and Game Theory (Algorithmic Game Theory). During his career, he has authored and co-authored more than one hundred publications in top-class conferences and journals. Cosimo Vinci is an Assistant Professor in the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento, Italy. He received a PhD in Computer Science from Gran Sasso Science Institute in 2018, discussing a thesis that was awarded as the best Italian PhD thesis of the year by the Italian Chapter of the European Association for Theoretical Computer Science. His research activity covers several areas from Theoretical Computer Science and Applied Mathematics, and is particularly focused on Algorithmic Game Theory, Stochastic Optimization, Approximation and Online Algorithms. He is author of several publications appeared in prestigious conferences and journals.

“In this monograph on algorithmic game theory, the authors present a summary of their work on applying primal-dual formulations from linear programming to analyze congestion games. They demonstrate that those techniques allow them to solve open problems and to generalize prior results. … the book is a reference for researchers who are already familiar with algorithmic game theory and with the analysis of congestion games in particular.” (Thomas Wiseman, zbMATH 1537.91001, 2024)

• Part I, Coping with Selfishness in Congestion Games: Introduction.- Part II, Analysis of the Performance of Congestion Games.- Part III, How to Improve the Performance of Congestion Games via Taxes.- Part IV, Other Strategies to Improve the Performance of Congestion Games.

Vittorio Bilò is an Associate Professor in the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento, Italy. He received a PhD in Computer Science from the University of L'Aquila in 2005, upon defence of a thesis that was named the best Italian PhD thesis of the year by the Italian Chapter of the European Association for Theoretical Computer Science. His research interests focus on algorithm design and analysis, with a particular predilection for problems arising at the interface between Theoretical Computer Science and Game Theory (Algorithmic Game Theory). During his career, he has authored and co-authored more than one hundred publications in top-class conferences and journals. Cosimo Vinci is an Assistant Professor in the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento, Italy. He received a PhD in Computer Science from Gran Sasso Science Institute in 2018, discussing a thesis that was awarded as the best Italian PhD thesis of the year by the Italian Chapter of the European Association for Theoretical Computer Science. His research activity covers several areas from Theoretical Computer Science and Applied Mathematics, and is particularly focused on Algorithmic Game Theory, Stochastic Optimization, Approximation and Online Algorithms. He is author of several publications appeared in prestigious conferences and journals.

“In this monograph on algorithmic game theory, the authors present a summary of their work on applying primal-dual formulations from linear programming to analyze congestion games. They demonstrate that those techniques allow them to solve open problems and to generalize prior results. … the book is a reference for researchers who are already familiar with algorithmic game theory and with the analysis of congestion games in particular.” (Thomas Wiseman, zbMATH 1537.91001, 2024)

• Part I, Coping with Selfishness in Congestion Games: Introduction.- Part II, Analysis of the Performance of Congestion Games.- Part III, How to Improve the Performance of Congestion Games via Taxes.- Part IV, Other Strategies to Improve the Performance of Congestion Games.

Vittorio Bilò is an Associate Professor in the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento, Italy. He received a PhD in Computer Science from the University of L'Aquila in 2005, upon defence of a thesis that was named the best Italian PhD thesis of the year by the Italian Chapter of the European Association for Theoretical Computer Science. His research interests focus on algorithm design and analysis, with a particular predilection for problems arising at the interface between Theoretical Computer Science and Game Theory (Algorithmic Game Theory). During his career, he has authored and co-authored more than one hundred publications in top-class conferences and journals. Cosimo Vinci is an Assistant Professor in the Department of Mathematics and Physics "Ennio De Giorgi" at the University of Salento, Italy. He received a PhD in Computer Science from Gran Sasso Science Institute in 2018, discussing a thesis that was awarded as the best Italian PhD thesis of the year by the Italian Chapter of the European Association for Theoretical Computer Science. His research activity covers several areas from Theoretical Computer Science and Applied Mathematics, and is particularly focused on Algorithmic Game Theory, Stochastic Optimization, Approximation and Online Algorithms. He is author of several publications appeared in prestigious conferences and journals.

“In this monograph on algorithmic game theory, the authors present a summary of their work on applying primal-dual formulations from linear programming to analyze congestion games. They demonstrate that those techniques allow them to solve open problems and to generalize prior results. … the book is a reference for researchers who are already familiar with algorithmic game theory and with the analysis of congestion games in particular.” (Thomas Wiseman, zbMATH 1537.91001, 2024)

• Part I, Coping with Selfishness in Congestion Games: Introduction.- Part II, Analysis of the Performance of Congestion Games.- Part III, How to Improve the Performance of Congestion Games via Taxes.- Part IV, Other Strategies to Improve the Performance of Congestion Games.