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Structured Modeling with Blocks

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 documents how to express hierarchically-structured models using Pyomo’s Block component. Many models contain significant hierarchical structure; that is, they are composed of repeated groups of conceptually related modeling components. Pyomo allows the modeler to define fundamental building blocks, and then construct the overall problem by connecting these building blocks together in an object-oriented manner. In this chapter, we describe the fundamental Block component along with common examples of its use, including repeated components and managing model scope.

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. "Structured Modeling with Blocks," Springer Optimization and Its Applications, in: Pyomo — Optimization Modeling in Python, edition 3, chapter 0, pages 111-122, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-68928-5_8
    DOI: 10.1007/978-3-030-68928-5_8
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