Pyomo – Optimization Modeling in Python

Pyomo – Optimization Modeling in Python by William E. Hart, Carl Laird, Jean-Paul Watson, David L. Woodruff.

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Hart, William E. (Author), Laird, Carl (Author), Watson, Jean-Paul (Author), Woodruff, David L. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Springer Optimization and Its Applications, 67
Springer eBook Collection.
Subjects:
Mathematical optimization.
Computer simulation.
Computer mathematics.
Computer science—Mathematics.
Computer software.
Operations research.
Management science.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

Similar Items