Pyomo — Optimization Modeling in Python 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. This second edition provides an expanded presentation of Pyomo’s modeling capabilities providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming mathematical programming with equilibrium constraints and bilevel programming. 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 Pythons interactive command environment which makes it easy to create Pyomo models apply a variety of optimizers and examine solutions. Review of the first edition: 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 1. Introduction Part I. An Introduction to Pyomo 2. Mathematical Modeling and Optimization 3. Pyomo Overview 4. Pyomo Models and Components 5. The Pyomo Command 6. Data Command Files Part II. Advanced Features and Extensions 7. Nonlinear Programming with Pyomo 8. Structured Modeling with Blocks 9. Generalized Disjunctive Programming 10. Stochastic Programming Extensions 11. Differential Algebraic Equations 12. Mathematical Programs with Equilibrium Constraints 13. Bilevel Programming 14. Scripting A. A Brief Python Tutorial Index