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Part of the book series: Nonconvex Optimization and Its Applications ((NOIA,volume 56))

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Abstract

Classical minimax theory initiated by Von Neumann, together with duality and saddle point analysis, has played a critical role in optimization and game theory. However, minimax problems and techniques appear in a very wide area of disciplines. For example, many combinatorial optimization problems, including scheduling, location, allocation, packing, searching, and triangulation, can be represented as a minimax problem.

Nothing takes place in the world whose meaning is not that of some maximum or minimum.

L. Euler

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© 2001 Springer Science+Business Media Dordrecht

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Du, DZ., Pardalos, P.M., Wu, W. (2001). Minimax. In: Du, DZ., Pardalos, P.M., Wu, W. (eds) Mathematical Theory of Optimization. Nonconvex Optimization and Its Applications, vol 56. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5795-8_11

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  • DOI: https://doi.org/10.1007/978-1-4757-5795-8_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5202-8

  • Online ISBN: 978-1-4757-5795-8

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