Pyomo — Optimization Modeling in Python

• Κύριοι συγγραφείς: Hart, William E. (Συγγραφέας), Laird, Carl D. (Συγγραφέας), Watson, Jean-Paul (Συγγραφέας), Woodruff, David L. (Συγγραφέας), Hackebeil, Gabriel A. (Συγγραφέας), Nicholson, Bethany L. (Συγγραφέας), Siirola, John D. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Έκδοση: 2nd ed. 2017.
• Σειρά: Springer Optimization and Its Applications, 67
• Θέματα: 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. Using many examples to illustrate the different techniques...

Πίνακας περιεχομένων:

• 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.