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Scripting

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 illustrates the use of Python scripts for solution analysis, the development of high-level algorithms and custom workflows. We discuss how to script the standard workflow: build a model, solve the model, and then analyze the solution. Pyomo also supports development of high-level algorithms and complex workflows. This chapter also contains some larger examples, including a Sudoku solver. Together, these scripting examples illustrate how Pyomo users can go beyond the simple use of the pyomo command to formulate, solve, and analyze optimization models.

Suggested Citation

  • William E. Hart & Carl D. Laird & Jean-Paul Watson & David L. Woodruff & Gabriel A. Hackebeil & Bethany L. Nicholson & John D. Siirola, 2017. "Scripting," Springer Optimization and Its Applications, in: Pyomo — Optimization Modeling in Python, edition 2, chapter 0, pages 235-253, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-58821-6_14
    DOI: 10.1007/978-3-319-58821-6_14
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