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From Local to Global

  • Ding-Zhu Du
  • Panos M. Pardalos
  • Weili Wu
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 56)

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.

Keywords

Convex Envelope Feasible Domain Maximum Clique Problem Global Minimum Point Nonconvex Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Ding-Zhu Du
    • 1
  • Panos M. Pardalos
    • 2
  • Weili Wu
    • 1
  1. 1.Department of Computer Science and EngineeringUniversity of MinnesotaMinneapolisUSA
  2. 2.Center for Applied Optimization, ISE DepartmentUniversity of FloridaGainesvilleUSA

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