Overview
- Presents a unified treatment of different mathematical models for equilibria
- Provides a mathematically rigorous tutorial on Ky Fan inequalities
- Focuses on diverse algorithmic schemes to better fit a wide range of applications
Part of the book series: EURO Advanced Tutorials on Operational Research (EUROATOR)
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Table of contents (4 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Marco Castellani is Full Professor of Mathematical Methods for Economics and Actuarial and Financial Sciences at the Department of Information Engineering, Computer Science and Mathematics of the University of L'Aquila, Italy. He received both his M.Sc. degree and his Ph.D. in Mathematics from the University of Pisa, Italy. He is author of more than forty scientific papers most of which published in international journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis TMA, Journal of Convex Analysis, Journal of Optimization Theory and Applications, Journal of Global Analysis, European Journal of Operational Research, Operations Research Letters, Applied Mathematics and Optimization, Optimization Methods & Software. His research activities have been mainly focused on theoretical aspects of nonsmooth scalar and multiobjective optimization, variational and quasivariational inequalities, equilibrium problems. In particular, his most recent works concern the existence of both exact and approximate solutions ofKy Fan inequalities in infinite dimensional spaces, the study of their stability, the characterization of the solution sets.
Massimo Pappalardo is Full Professor of Operations Research at the Department of Computer Science of the University of Pisa, Italy. He received both his M.Sc. degree and his Ph.D. in Mathematics from the University of Pisa. He has been Director of the Department of Applied Mathematics of University of Pisa and he is actually dean of the master degree in Computer Science of the University of Pisa. He is author of more than sixty scientific papers most of which published in international journals such as Journal of Optimization Theory and Applications, Journal of Global Optimization, European Journal of Operational Research, Optimization, Operations Research Letters, Optimization Methods & Software, Journal of Mathematical Analysis and Applications. He is associate editor of the Journal “Minimax theory and its Applications”. His research activities have been mainly focused on theory and methods of nonlinear scalar and multiobjective optimization, variational and quasivariational inequalities, equilibrium problems.
Mauro Passacantando is Assistant Professor of Operations Research at the Department of Computer Science of the University of Pisa, Italy. He received both his M.Sc. and Ph.D. in Mathematics from the University of Pisa. He is author of more than forty scientific papers most of which published in international journals such as Computational Optimization and Applications, European Journal of Operational Research, INFORMS Journal on Computing, IEEE Transactions on Services Computing, Journal of Global Optimization, Journal of Optimization Theory and Applications, Optimization Methods & Software. His research activities are mainly focused on variational inequalities, projected dynamical systems, equilibrium problems, and their applications. In particular, most of his recent work focuses on theory and algorithms for Ky Fan inequalities and on game theoretic approaches to service provisioning problems in cloud and multi-cloud systems.
Bibliographic Information
Book Title: Nonlinear Programming Techniques for Equilibria
Authors: Giancarlo Bigi, Marco Castellani, Massimo Pappalardo, Mauro Passacantando
Series Title: EURO Advanced Tutorials on Operational Research
DOI: https://doi.org/10.1007/978-3-030-00205-3
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-00204-6Published: 02 October 2018
Softcover ISBN: 978-3-030-13092-3Published: 10 December 2019
eBook ISBN: 978-3-030-00205-3Published: 20 September 2018
Series ISSN: 2364-687X
Series E-ISSN: 2364-6888
Edition Number: 1
Number of Pages: VIII, 120
Number of Illustrations: 6 b/w illustrations
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Economic Theory/Quantitative Economics/Mathematical Methods, Game Theory, Economics, Social and Behav. Sciences