Introduction to operations research
/ Frederick S. Hillier & Gerald J. Lieberman
- 11th ed.
- New York : McGraw-Hill Education, 2021
- 964 p.
1. Introduction 2. Overview of how operations research and analytics professionals analyze problems 3. Introduction to linear programming 4. Solving linear programming problems: the simplex method 5. The theory of the simplex methods 6. Duality theory 7. Linear programming under uncertainty 8. Other algorithms for linear programming 9. The transportation and assignment problems 10. Network optimization models 11. Dynamic programming 12. Integer programming 13. Nonlinear programming 14. Methaeuristics 15. Game theory 16. Decision analysis 17. Queuing theory 18. Inventory theory 19. Markov decision processes 20. Simulation