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PREFACE xxii
CHAPTER 1 Introduction 1
CHAPTER 2 Overview of the Operations Research Modeling Approach 10
CHAPTER 3 Introduction to Linear Programming 25
CHAPTER 4 Solving Linear Programming Problems: The Simplex Method 93
CHAPTER 5 The Theory of the Simplex Method 163
CHAPTER 6 Duality Theory 197
CHAPTER 7 Linear Programming under Uncertainty 225
CHAPTER 8 Other Algorithms for Linear Programming 290
CHAPTER 9 The Transportation and Assignment Problems 318
CHAPTER 10 Network Optimization Models 372
CHAPTER 11 Dynamic Programming 438
CHAPTER 12 Integer Programming 474
CHAPTER 13 Nonlinear Programming 547
CHAPTER 14 Metaheuristics 617
CHAPTER 15 Game Theory 661
CHAPTER 16 Decision Analysis 682
CHAPTER 17 Queueing Theory 731
CHAPTER 18 Inventory Theory 800
CHAPTER 19 Markov Decision Processes 877
CHAPTER 20 Simulation 892

APPENDIXES
PARTIAL ANSWERS TO SELECTED PROBLEMS 969
INDEXES

For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new section and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.

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