Pyomo – Optimization Modeling in Python

• Main Authors: Hart, William E. (Author), Laird, Carl (Author), Watson, Jean-Paul (Author), Woodruff, David L. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2012.
• Series: Springer Optimization and Its Applications, 67
• Subjects: Mathematics.; Computer science > Mathematics.; Computer simulation.; Computer mathematics.; Computer software.; Mathematical optimization.; Operations research.; Management science.; Optimization.; Simulation and Modeling.; Computational Mathematics and Numerical Analysis.; Math Applications in Computer Science.; Mathematical Software.; Operations Research, Management Science.

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. Modeling is a fundamental process in many aspects of scient...

Table of Contents:

• Preface
• 1. Introduction
• 2. Pyomo Modeling Strategies
• 3. Model Components: Variables, Objectives and Constraints
• 4. Model Components: Sets and Parameters
• 5. Mischellaneous Model Components and Utility Functions
• 6. Initializing Abstract Models with Data Command Files
• 7. The Pyomo Command-Line Interface
• 8. Nonlinear Programming with Pyomo
• 9. Stochastic Programming Extensions
• 10. Scripting and Algorithm Development
• A. Installing Coopr
• B. A Brief Python Tutorial
• C. Pyomo and Coopr: The Bigger Picture
• Index.