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Nonlinear Programming with Pyomo

  • William E. Hart
  • Carl D. Laird
  • Jean-Paul Watson
  • David L. Woodruff
  • Gabriel A. Hackebeil
  • Bethany L. Nicholson
  • John D. Siirola
Chapter
  • 5.2k Downloads
Part of the Springer Optimization and Its Applications book series (SOIA, volume 67)

Abstract

This chapter describes the nonlinear programming capabilities of Pyomo. It presents the nonlinear expressions and functions that are supported, and it provides some tips for formulating and solving nonlinear programming problems. Pyomo makes use of the interface provided by the AMPL Solver Library to provide efficient expression evaluation and automatic differentiation. Use of the AMPL Solver Library means that any AMPL-enabled solver should be usable as a solver within the Pyomo framework. This chapter also provides several real-world examples to illustrate formulating and solving nonlinear programming problems.

Keywords

Nonlinear Programming Continuously Stir Tank Reactor Nonlinear Programming Problem Deer Population Outlet Concentration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • William E. Hart
    • 1
  • Carl D. Laird
    • 1
  • Jean-Paul Watson
    • 1
  • David L. Woodruff
    • 2
  • Gabriel A. Hackebeil
    • 3
  • Bethany L. Nicholson
    • 1
  • John D. Siirola
    • 1
  1. 1.Sandia National LaboratoriesAlbuquerqueUSA
  2. 2.Graduate School of ManagementUniversity of California, DavisDavisUSA
  3. 3.Department of Industrial and Operations EngineeringUniversity of MichiganAnn ArborUSA

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