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Introduction to Operations Research
Frederick S. Hillier, Gerald J. Lieberman
Résumé
Key changes for this sixth edition include:
- Innovative tutorial software-featuring demonstration
examples, interactive routines, and automatic routines-has
been expanded, improved (much larger problems now can be
solved), and fully integrated with the text.
- More than 250 new problems have been added, including
six larger computer-oriented case problems.
- Some dramatic case studies of real applications have
been integrated into the initial chapters.
- More formulation examples for linear programming and
integer programming have been added.
- Many chapters have been carefully revised to make them even more accessible for students with a modest mathematical background (e.g., basic calculus and, for several chapters, an introduction to probability theory).
Table of contents
- Preface
- 1. Introduction
- 2. Overview of the Operations Research Modeling
Approach
- 3. Introduction to Linear Programming
- 4. Solving Linear Programming Problems: The Simplex
Method
- 5. The Theory of the Simplex Method
- 6. Duality Theory and Sensitivity Analysis
- 7. Other Algorithms for Linear Programming
- 8. The Transportation and Assignment Problems
- 9. Network Analysis, Including Pert-CPM
- 10. Dynamic Programming
- 11. Game Theory
- 12. Integer Programming
- 13. Nonlinear Programming
- 14. Markov Chains
- 15. Queueing Theory
- 16. The Application of Queueing Theory
- 17. Inventory Theory
- 18. Forecasting
- 19. Markov Decision Processes
- 20. Decision Analysis
- 21. Simulation
- Appendixes
- Answers to Selected Problems
- Indexes
- Author Index
- Subject Index
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Mc Graw Hill |
Auteur(s) | Frederick S. Hillier, Gerald J. Lieberman |
Parution | 10/03/1995 |
Édition | 6eme édition |
Nb. de pages | 998 |
Format | 18,5 x 23,5 |
Poids | 1620g |
EAN13 | 9780071139892 |
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