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Introduction to Nonlinear and Mixed-Integer Optimization

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

Abstract

This chapter presents an introduction to the class of mixed-integer nonlinear MINLP optimization problems. Section 20.1 presents the motivation for studying MINLP problems. Section 20.2 discusses the mathematical formulation and outlines the theoretical and algorithmic challenges. Section 20.3 provides an overview of the local MINLP optimization algorithms which can address convex MINLP problems rigorously. Finally, section 20.4 outlines the global MINLP optimization approaches for nonconvex MINLP optimization problems.

Keywords

Interval Arithmetic Outer Approximation Reactive Distillation MINLP Problem Heat Exchanger Network 
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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