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Model Components: Sets and Parameters

In: Pyomo – Optimization Modeling in Python

Author

Listed:
  • William E. Hart

    (Sandia National Laboratories)

  • Carl Laird

    (Texas A&M)

  • Jean-Paul Watson

    (Sandia National Laboratories)

  • David L. Woodruff

    (University of California, Davis)

Abstract

A Pyomo model is populated with modeling components that define model data, as well as model structures like objectives and constraints. This chapter describes the Pyomo classes for set and parameter components that define model data. These classes can be used in both concrete and abstract models, but they are particularly vital to abstract models.

Suggested Citation

  • William E. Hart & Carl Laird & Jean-Paul Watson & David L. Woodruff, 2012. "Model Components: Sets and Parameters," Springer Optimization and Its Applications, in: Pyomo – Optimization Modeling in Python, edition 127, chapter 0, pages 43-55, Springer.
    • Handle: RePEc:spr:spochp:978-1-4614-3226-5_4
    DOI: 10.1007/978-1-4614-3226-5_4
    as

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