Chapter 1. Overview of OR, Analytics, Al, and ML in Decision-Making
Chapter 2. Modeling with Linear Programming
Chapter 3. The Simplex Method and Sensitivity Analysis
Chapter 4. Duality and Post-Optimal Analysis
Chapter 5. Transportation Model and Its Variants
Chapter 6. Network Models
Chapter 7. Advanced Linear Programming
Chapter 8. Stochastic Linear Programming
Chapter 9. Integer Linear Programming
Chapter 10. Heuristic Programming
Chapter 11. Traveling Salesperson Problem (TSP)
Chapter 12. Dynamic Programming
Chapter 13. Inventory Modeling
Chapter 14. Yield Management
Chapter 15. Decision Analysis and Games
Chapter 16. Markov Chains
Chapter 17. Markovian Decision Process
Chapter 18. Queuing Systems
Chapter 19. Discrete-Event and Monte Carlo Simulations
Chapter 20. Classical Optimization Theory
Chapter 21. Nonlinear Programming Algorithms
Chapter 22. Case Analysis
Appendix A. Statistical Tables
Appendix B. Partial Answers to Selected Problems
Appendix C. AMPL Modeling Language
Appendix D. Review of Vectors and Matrices
Appendix E. Review of Basic Probability
Appendix F. Forecasting Models

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