Basic Concepts of Global Optimization

  • Christodoulos A. Floudas
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 37)

Abstract

This chapter introduces the reader to the basic concepts that form the foundation for the global optimization theoretical developments, methods and applications. In section 2.1 the fundamentals of convex sets are discussed. In section 2.2 the subject of convex and concave functions is presented. In section 2.3 the definitions and properties of quasiconvex and pseudoconvex functions are discussed. Section 2.4 presents the definition and properties of the convex envelopes. Section 2.5 presents the definitions of the local, global optima and E-global optima. Finally, section 2.6 introduces the reader to the basics of difference of convex functions denoted as D.C. functions.

Keywords

Convex Function Convex Subset Concave Function Convex Envelope Maximum Separation Distance 
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 2000

Authors and Affiliations

  • Christodoulos A. Floudas
    • 1
  1. 1.Department of Chemical EngineeringPrinceton UniversityPrincetonUSA

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