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Preface to the Second Edition
Preface to the First Edition
1 Events and probability
2 Discrete random variables and expectations
3 Moments and deviations
4 Chernoff and Hoeffding bounds
5 Balls, bins, and random graphs
6 The probabilistic method
7 Markov chains and random walks
8 Continuous distributions and the Polsson process
9 The normal distribution
10 Entropy, randomness, and information
11 The Monte Carlo method
12 Coupling of Markov chains
13 Martingales
14 Sample complexity, VC dimension, and Rademacher complexity
15 Pairwise independence and universal hash functions
16 Power laws and related distributions
17 Balanced allocations and cuckoo hashing
Further Reading
Index
Note: Asterisks indicate advanced material for this chapter
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This greatly expanded new edition offers a comprehensive introduction to randomization and probabilistic techniques in modern computer science.
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