Pyomo – Optimization Modeling in Python

1. Front Matter

   Pages i-xviii

   PDF

2. Introduction

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

   Pages 1-11

3. Pyomo Modeling Strategies

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

   Pages 13-27

4. Model Components: Variables, Objectives, and Constraints

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

   Pages 29-41

5. Model Components: Sets and Parameters

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

   Pages 43-55

6. Miscellaneous Model Components and Utility Functions

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

   Pages 57-65

7. Initializing Abstract Models with Data Command Files

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

   Pages 67-89

8. The Pyomo Command-line Interface

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

   Pages 91-103

9. Nonlinear Programming with Pyomo

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

   Pages 105-129

10. Stochastic Programming Extensions

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

    Pages 131-164

11. Scripting and Algorithm Development

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

    Pages 165-203

12. Back Matter

    Pages 205-237

    PDF

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.

• Optimization textbook
• Python software
• Sandia optimization software
• algebraic modeling language
• mathematical modeling textbook
• stochastic programming

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

• 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

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