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Pyomo Overview

In: Pyomo — Optimization Modeling in Python

Author

Listed:
  • Michael L. Bynum

    (Sandia National Laboratories)

  • Gabriel A. Hackebeil

    (Deepfield Nokia)

  • William E. Hart

    (Sandia National Laboratories)

  • Carl D. Laird

    (Sandia National Laboratories)

  • Bethany L. Nicholson

    (Sandia National Laboratories)

  • John D. Siirola

    (Sandia National Laboratories)

  • Jean-Paul Watson

    (Lawrence Livermore National Laboratory)

  • David L. Woodruff

    (University of California)

Abstract

This chapter provides an overview of the modeling strategies and capabilities of Pyomo. A brief discussion of the core modeling components supported by Pyomo, and some of the modeling capabilities within Pyomo (e.g., discrete variables and nonlinear models) are provided.

Suggested Citation

  • Michael L. Bynum & Gabriel A. Hackebeil & William E. Hart & Carl D. Laird & Bethany L. Nicholson & John D. Siirola & Jean-Paul Watson & David L. Woodruff, 2021. "Pyomo Overview," Springer Optimization and Its Applications, in: Pyomo — Optimization Modeling in Python, edition 3, chapter 0, pages 25-36, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-68928-5_3
    DOI: 10.1007/978-3-030-68928-5_3
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