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?
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
Authors and Affiliations
Sandia National Laboratories, Albuquerque, USA
William E. Hart
, Department of Chemical Engineering, Texas A&M University, College Station, USA
Carl Laird
, Discrete Mathematics and Complex Systems, Sandia National Laboratories, Albuquerque, USA
Jean-Paul Watson
Graduate School of Management, University of California, Davis, USA
David L. Woodruff
Bibliographic Information
Book Title: Pyomo – Optimization Modeling in Python
Authors: William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff
