Randomized Algorithms and Probabilistic Methods
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Angelika Steger
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Autumn Semester
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Location: rack 12, shelf 1
Las Vegas & Monte Carlo algorithms; inequalities of Markov, Chebyshev, Chernoff; negative correlation; Markov chains: convergence, rapidly mixing; generating functions; Examples include: min cut, median, balls and bins, routing in hypercubes, 3SAT, card shuffling, random walks
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Randomized algorithmsRajeev Motwani, Prabhakar Raghavan
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The probabilistic methodNoga Alon, Joel H. Spencer
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Probability and computingRandomized algorithms and probabilistic analysis Michael Mitzenmacher, Eli Upfal
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