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Preface | ||
About the Author | ||
Ch. 1 | What Is Operations Research? | 1 |
Ch. 2 | Introduction to Linear Programming | 11 |
Ch. 3 | The Simplex Method | 71 |
Ch. 4 | Duality and Sensitivity Analysis | 115 |
Ch. 5 | Transportation Model and Its Variants | 165 |
Ch. 6 | Network Models | 213 |
Ch. 7 | Advanced Linear Programming | 289 |
Ch. 8 | Goal Programming | 347 |
Ch. 9 | Integer Linear Programming | 361 |
Ch. 10 | Deterministic Dynamic Programming | 401 |
Ch. 11 | Deterministic Inventory Models | 429 |
Ch. 12 | Review of Basic Probability | 463 |
Ch. 13 | Forecasting Models | 491 |
Ch. 14 | Decision Analysis and Games | 503 |
Ch. 15 | Probabilistic Dynamic Programming | 547 |
Ch. 16 | Probabilistic Inventory Models | 559 |
Ch. 17 | Queuing Systems | 579 |
Ch. 18 | Simulation Modeling | 639 |
Ch. 19 | Markovian Decision Process | 675 |
Ch. 20 | Classical Optimization Theory | 701 |
Ch. 21 | Nonlinear Programming Algorithms | 731 |
App. A | Review of Vectors and Matrices | 765 |
App. B | TORA Primer | 779 |
App. C: Statistical Tables | 785 | |
App. D: Partial Answers to Selected Problems | 789 | |
Index | 825 |
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