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Springer Minimax and Applications - Nonconvex Optimization Theory Book

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Description

Minimax and Applications is a comprehensive guide to minimax theory and its practical applications across game theory, optimization, and computational complexity. This volume explores the fundamental techniques and principles that underpin minimax problems, formulated as min max f(x, y) across product spaces X and Y. The book addresses two essential issues: establishing sufficient and necessary conditions for minimax equality and examining duality theory extending from von Neumann's classical minimax theorem. Essential for researchers and practitioners working in optimization, algorithm design, and theoretical computer science, this Springer publication provides rigorous mathematical foundations and real-world applications of minimax principles.

Key Features

Covers minimax theory fundamentals and their role in game theory, optimization, and computational complexity.

Examines conditions for minimax equality and duality theory based on von Neumann's classical theorem.

Published by Springer as part of the Nonconvex Optimization and Its Applications series (Volume 4).

Provides rigorous mathematical treatment suitable for researchers in optimization and algorithm design.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 October 2011
Listed Since
20 September 2013

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