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Final Remarks

  • Oliver Stein
Chapter
  • 237 Downloads
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 71)

Abstract

General semi-infinite optimization problems arise in a number of real-life applications and can often be solved by a numerical method which exploits the inherent bi-level structure of GSIP. In this work we have seen that strong optimality conditions for GSIP can only be formulated after a sound understanding of the topology of its feasible set. As numerical methods can in general only be expected to converge to a stationary point of GSIP, optimality conditions serve the important purpose to define the appropriate concept of stationarity.

Keywords

Constraint Qualification Order Optimality Condition Generalize Critical Point Finite Dimensional Optimization Problem Abadie Constraint Qualification 
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 New York 2003

Authors and Affiliations

  • Oliver Stein
    • 1
  1. 1.Department of MathematicsAachen UniversityGermany

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