Pyomo Overview

William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson and John D. Siirola
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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

Chapter Chapter 3 in Pyomo — Optimization Modeling in Python, 2017, pp 29-45 from Springer

Abstract: Abstract This chapter provides an overview of the modeling strategies and capabilities of Pyomo. We provide a brief overview of the core modeling components supported by Pyomo.We then discuss the differences between concrete and abstract models, and give some guidance on when to select one approach over another. We provide some examples that illustrate the use of the pyomo command and general scripting capabilities. Finally, we close the chapter with a discussion of some of the modeling capabilities within Pyomo (e.g., discrete variables and nonlinear models).

Date: 2017
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DOI: 10.1007/978-3-319-58821-6_3

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