The GOP Approach : Implementation and Computational Studies

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

Abstract

This chapter presents the implementation of the GOP algorithm and a variety of computational studies which include problems in heat exchanger network synthesis, pooling and blending, separation networks, as well as concave and indefinite quadratic problems studied by Visweswaran and Floudas (1996b), (1990), (1993). Section 4.1 discusses the various aspects involved in the implementation, including reduction tests and local enhancements at each node of the tree. In particular, the movement of data from one part of the program to another is discussed in detail. Section 4.2 focuses on the computational studies.

Keywords

Computational Study Dual Problem Lagrange Function Primal Problem Current Node 
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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