Springer Optimization and Its Applications

Pyomo – Optimization Modeling in Python

Authors: Hart, W.E., Laird, C., Watson, J.-P., Woodruff, D.L.

  • ​​Unique book describing the 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​
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eBook $44.99
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  • ISBN 978-1-4614-3226-5
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  • Immediate eBook download after purchase
Softcover $59.95
price for USA
  • ISBN 978-1-4899-9325-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
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  • can be used across all devices
About this Textbook

This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects) for both beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. The text illustrates the breadth of the modeling and analysis capabilities that are supported by the software and support of complex real-world applications. Pyomo is an open source software package for formulating and solving large-scale optimization and operations research problems. The text begins with a tutorial on simple linear and integer programming models. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from data sources like spreadsheets and databases. Chapters describing advanced modeling capabilities for nonlinear and stochastic optimization are also included. The Pyomo software provides familiar modeling features within Python, a powerful 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. The software supports a different modeling approach than commercial AML (Algebraic Modeling Languages) tools, and is designed for flexibility, extensibility, portability, and maintainability but also maintains the central ideas in modern AMLs.

Reviews

Documents a simple, yet versatile tool for modeling and solving optimization problems. ... The book, by Bill Hart, Carl Laird, Jean-Paul Watson, and David Woodruff, is essential to the usability of Pyomo, serving as the Pyomo documentation. ... has contents for both an inexperienced user, and a computational operations research expert. ... with examples of each of the concepts discussed.

—Nedialko B. Dimitrov, INFORMS Journal on Computing, Vol. 24 (4), Fall 2012


Table of contents (3 chapters)

  • Pyomo Modeling Strategies

    William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff

    Pages 13-27

  • Initializing Abstract Models with Data Command Files

    William E. Hart, Carl Laird, Jean-Paul Watson, et al.

    Pages 67-89

  • Nonlinear Programming with Pyomo

    William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff

    Pages 105-129

Buy this book

eBook $44.99
price for USA (gross)
  • ISBN 978-1-4614-3226-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.95
price for USA
  • ISBN 978-1-4899-9325-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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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
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-3226-5
DOI
10.1007/978-1-4614-3226-5
Softcover ISBN
978-1-4899-9325-0
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XVIII, 238
Topics