Nonlinear Programming Techniques for Equilibria

This book considers a range of problems in operations research, which are formulated through various mathematical models such as complementarity, variational inequalities, multiobjective optimization, fixed point problems, noncooperative games and inverse optimization. Moreover, the book subsumes al...

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Κύριοι συγγραφείς: Bigi, Giancarlo (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Castellani, Marco (http://id.loc.gov/vocabulary/relators/aut), Pappalardo, Massimo (http://id.loc.gov/vocabulary/relators/aut), Passacantando, Mauro (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:EURO Advanced Tutorials on Operational Research,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Nonlinear Programming Techniques for Equilibria  |h [electronic resource] /  |c by Giancarlo Bigi, Marco Castellani, Massimo Pappalardo, Mauro Passacantando. 
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490 1 |a EURO Advanced Tutorials on Operational Research,  |x 2364-687X 
505 0 |a Equilibrium models and applications -- Theory for equilibria -- Algorithms for equilibria -- Quasi-equilibria -- References - Index. 
520 |a This book considers a range of problems in operations research, which are formulated through various mathematical models such as complementarity, variational inequalities, multiobjective optimization, fixed point problems, noncooperative games and inverse optimization. Moreover, the book subsumes all these models under a common structure that allows them to be formulated in a unique format: the Ky Fan inequality. It subsequently focuses on this unifying equilibrium format, providing a comprehensive overview of the main theoretical results and solution algorithms, together with a wealth of applications and numerical examples. Particular emphasis is placed on the role of nonlinear optimization techniques - e.g. convex optimization, nonsmooth calculus, proximal point and descent algorithms - as valuable tools for analyzing and solving Ky Fan inequalities. . 
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