Model Paradigms

  • Tony Hürlimann
Part of the Applied Optimization book series (APOP, volume 31)

Abstract

The objective of this chapter is to present a brief — by no means complete — overview of different model types and paradigms. It is certainly not the goal to give a thorough account of all types of mathematical models and their solution procedures. That would by itself fill several volumes. I shall present only certain model types and approaches that from my point of view seem important — especially in the light of the ongoing vast unification in mathematical modeling that is taking place at different levels today.

Keywords

Model Type Stochastic Programming Goal Programming Neighbourhood Structure Slack Variable 
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 1999

Authors and Affiliations

  • Tony Hürlimann
    • 1
  1. 1.Institute for InformaticsUniversity of FribourgSwitzerland

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