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 (TSP)
Chapter 11: Traveling Salesperson Problem
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 Simulations
Chapter 19: Discrete-Event and Monte Carlo
Chapter 20: Classical Optimization Theory Algorithms
Chapter 21: Nonlinear Programming
Chapter 22: Case Analysis
Appendix A: Statistical Tables Problems
Appendix B: Partial Answers to Selected
Appendix C: AMPL Modeling Language
Appendix D: Review of Vectors and Matrices
Appendix E: Review of Basic Probability
Appendix F: Forecasting Models

*La edición digital no incluye códigos de acceso a material adicional o programas mencionados en el libro.