Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 67)
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Table of contents (14 chapters)
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Front Matter
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An Introduction to Pyomo
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Front Matter
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Modeling Extensions
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Pyomo — Optimization Modeling in Python
Authors: Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson, … David L. Woodruff
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-68928-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021
Hardcover ISBN: 978-3-030-68927-8Published: 31 March 2021
Softcover ISBN: 978-3-030-68930-8Published: 01 April 2022
eBook ISBN: 978-3-030-68928-5Published: 30 March 2021
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 3
Number of Pages: XVII, 225
Number of Illustrations: 7 b/w illustrations, 5 illustrations in colour
Topics: Optimization, Simulation and Modeling, Computational Mathematics and Numerical Analysis, Mathematical Applications in Computer Science, Mathematical Software, Operations Research, Management Science