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Nonlinear Programming Techniques for Equilibria (Hardcover, 1st ed. 2019) Loot Price: R2,382
Discovery Miles 23 820
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

Series: EURO Advanced Tutorials on Operational Research

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Loot Price R2,382 Discovery Miles 23 820 | Repayment Terms: R223 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: EURO Advanced Tutorials on Operational Research
Release date: September 2018
First published: 2019
Authors: Giancarlo Bigi • Marco Castellani • Massimo Pappalardo • Mauro Passacantando
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 120
Edition: 1st ed. 2019
ISBN-13: 978-3-03-000204-6
Categories: Books > Business & Economics > Economics > Economic theory & philosophy
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > Game theory
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LSN: 3-03-000204-7
Barcode: 9783030002046

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