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Mathematical Modeling and Optimization

  • William E. Hart
  • Carl D. Laird
  • Jean-Paul Watson
  • David L. Woodruff
  • Gabriel A. Hackebeil
  • Bethany L. Nicholson
  • John D. Siirola
Chapter
Part of the Springer Optimization and Its Applications book series (SOIA, volume 67)

Abstract

This chapter provides a primer on optimization and mathematical modeling. It does not provide a complete description of these topics. Instead, this chapter provides enough background information to support reading the rest of the book. For more discussion of optimization modeling techniques see, for example, Williams [86]. Implementations of simple examples of models are shown to provide the reader with a quick start to using Pyomo.

Keywords

Decision Variable Problem Instance Linear Expression Nonlinear Optimization Model Happiness Function 
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 International Publishing AG 2017

Authors and Affiliations

  • William E. Hart
    • 1
  • Carl D. Laird
    • 1
  • Jean-Paul Watson
    • 1
  • David L. Woodruff
    • 2
  • Gabriel A. Hackebeil
    • 3
  • Bethany L. Nicholson
    • 1
  • John D. Siirola
    • 1
  1. 1.Sandia National LaboratoriesAlbuquerqueUSA
  2. 2.Graduate School of ManagementUniversity of California, DavisDavisUSA
  3. 3.Department of Industrial and Operations EngineeringUniversity of MichiganAnn ArborUSA

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