Springer Optimization and Its Applications

Pyomo — Optimization Modeling in Python

Authors: Bynum, M.L., Hackebeil, G.A., Hart, W.E., Laird, C.D., Nicholson, B., Siirola, J.D., Watson, J.-P., Woodruff, D.L.

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  • Third edition has been reoganized  to provide better information flow for readers who are either new or experienced Pyomo users
  • ​​Unique book describing the user-friendly Pyomo modeling tool, the most comprehensive open source modeling software that can model linear programs, integer programs, nonlinear programs, stochastic programs and disjunctive programs
  • Discusses Pyomo's modeling components, illustrated with extensive examples 
  • Introduces beginners to the software and presents chapters for advanced modeling capabilities​
  • Contains a comprehensive tutorial
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  • ISBN 978-3-030-68928-5
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Hardcover $79.99
price for Mexico
  • ISBN 978-3-030-68927-8
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this Textbook

This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. In the third edition, much of the material has been reorganized, new examples have been added, and a new chapter has been added describing how modelers can improve the performance of their models.  The authors have also modified their recommended method for importing Pyomo. A big change in this edition is the emphasis of concrete models, which provide fewer restrictions on the specification and use of Pyomo models. 

Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions.

About the authors

William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, and Michael L. Bynum are researchers affiliated with the Sandia National Laboratories in Albuquerque, New Mexico. Jean-Paul Watson is a researcher with the Lawrence Livermore Laboratory. David L. Woodruff is professor at the graduate school of management at the University of California, Davis. Gabriel Hackebeil is affiliated with Deepfield Nokia, Ann Arbor, MI. The 2019 INFORMS Computing Society prize was awarded to William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson and John Siirola for spearheading the creation and advancement of Pyomo, an open-source software package for modeling and solving mathematical programs in Python.

Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook $59.99
price for Mexico
  • ISBN 978-3-030-68928-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $79.99
price for Mexico
  • ISBN 978-3-030-68927-8
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Pyomo — Optimization Modeling in Python
Authors
Series Title
Springer Optimization and Its Applications
Series Volume
67
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply
eBook ISBN
978-3-030-68928-5
DOI
10.1007/978-3-030-68928-5
Hardcover ISBN
978-3-030-68927-8
Series ISSN
1931-6828
Edition Number
3
Number of Pages
XVII, 225
Number of Illustrations
7 b/w illustrations, 5 illustrations in colour
Topics