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Mathematical Modeling and Optimization

In: Pyomo — Optimization Modeling in Python

Author

Listed:
  • William E. Hart

    (Sandia National Laboratories)

  • Carl D. Laird

    (Sandia National Laboratories)

  • Jean-Paul Watson

    (Sandia National Laboratories)

  • David L. Woodruff

    (University of California, Davis)

  • Gabriel A. Hackebeil

    (University of Michigan)

  • Bethany L. Nicholson

    (Sandia National Laboratories)

  • John D. Siirola

    (Sandia National Laboratories)

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.

Suggested Citation

  • William E. Hart & Carl D. Laird & Jean-Paul Watson & David L. Woodruff & Gabriel A. Hackebeil & Bethany L. Nicholson & John D. Siirola, 2017. "Mathematical Modeling and Optimization," Springer Optimization and Its Applications, in: Pyomo — Optimization Modeling in Python, edition 2, chapter 0, pages 15-27, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-58821-6_2
    DOI: 10.1007/978-3-319-58821-6_2
    as

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