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

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Abstract

As we have seen in the previous chapters most of the existing methods in optimization focus on the very important problem of computing feasible points that satisfy necessary optimality conditions (Kuhn-Tucker points). In the previous chapter, we studied a special class of minimax problems for which a characterization of its global solutions was obtained.

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© 2001 Springer Science+Business Media Dordrecht

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Du, DZ., Pardalos, P.M., Wu, W. (2001). From Local to Global. 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_15

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  • DOI: https://doi.org/10.1007/978-1-4757-5795-8_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5202-8

  • Online ISBN: 978-1-4757-5795-8

  • eBook Packages: Springer Book Archive

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