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

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Hart, William E. (Auteur), Laird, Carl (Auteur), Watson, Jean-Paul (Auteur), Woodruff, David L. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2012.
Édition:1st ed. 2012.
Collection:Springer Optimization and Its Applications, 67
Sujets:
Mathematical optimization.
Computer simulation.
Mathematics-Data processing.
Computer science-Mathematics.
Computer software.
Operations research.
Management science.
Optimization.
Computer Modelling.
Computational Mathematics and Numerical Analysis.
Mathematical Applications in Computer Science.
Mathematical Software.
Operations Research, Management Science .
Accès en ligne:Texto Completo
Table des matières:
  • 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.

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