Concentration of Measure for the Analysis of Randomized Algorithms

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Presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. The presentation emphasizes discrete settings and elementary notions of probability, making it accessible to computer scientists and applied discrete mathematicians. The methods are compared by applying them to concrete problems.