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Nonlinear Programming Techniques for Equilibria (Hardcover, 1st ed. 2019): Giancarlo Bigi, Marco Castellani, Massimo... Nonlinear Programming Techniques for Equilibria (Hardcover, 1st ed. 2019)
Giancarlo Bigi, Marco Castellani, Massimo Pappalardo, Mauro Passacantando
R2,422 Discovery Miles 24 220 Ships in 10 - 15 working days

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.

Nonlinear Programming Techniques for Equilibria (Paperback, Softcover reprint of the original 1st ed. 2019): Giancarlo Bigi,... Nonlinear Programming Techniques for Equilibria (Paperback, Softcover reprint of the original 1st ed. 2019)
Giancarlo Bigi, Marco Castellani, Massimo Pappalardo, Mauro Passacantando
R1,792 Discovery Miles 17 920 Ships in 10 - 15 working days

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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