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1 Introduction 3
2 Modeling and models 21
3 Transformation using 0-1 variables 54
4 Better formulation by preprocessing 79
5 Modeling combinatorial optimization problems I 105
6 Modeling combinatorial optimization problems II 130
7 Linear programming : fundamentals 155
8 Linear programming : geometric concepts 180
9 Linear programming : solution methods 207
10 Network optimization problems and solutions 246
11 Classical solution approaches 271
12 Branch-and-cut approach 305
13 Branch-and-price approach 334
14 Solution via heuristics, relaxations, and partitioning 359
15 Solutions with commercial software 386
References 411
App Answers to selected exercises 423
Index 459
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