Download PDF by Michael Mitzenmacher: Probability and Computing: Randomized Algorithms and

By Michael Mitzenmacher

ISBN-10: 0521835402

ISBN-13: 9780521835404

Assuming in simple terms an undemanding historical past in discrete arithmetic, this textbook is a wonderful advent to the probabilistic options and paradigms utilized in the improvement of probabilistic algorithms and analyses. It comprises random sampling, expectancies, Markov's and Chevyshev's inequalities, Chernoff bounds, balls and packing containers types, the probabilistic technique, Markov chains, MCMC, martingales, entropy, and different subject matters. The booklet is designed to accompany a one- or two-semester path for graduate scholars in laptop technology and utilized arithmetic.

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Additional resources for Probability and Computing: Randomized Algorithms and Probabilistic Analysis

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Should the contestant switch or doesit make no difference? 13: A The false negative and are goats. company touts its new test for a certain genetic disorder. 999. 005. from Assume that 2% of the population has the disorder. If a person chosen uniformly that the population is tested and the result comes back positive, what is the probability a positive returns have the disorder, the person watched have disorder? 14: I am Exercise I has the playing in a racqtietball tournament, and before. 6. or he is slightly better, Before we play, I think that each of these three possibilities is equally likely.

By computing least k edges,then Since the \302\245t{E{)\342\200\224 Pr(Fi). in the graph must have degree k or larger. The first contracted edge is chosen uniformly at random from the set of all edges. Sincethere are at least nk/2 that we do not choosean edgesin the graph and since C has k edges, the probability edge of C in the first iteration is given by the graph 13 AND PROBABILITY EVENTS 2 2k 1--. Pr(\302\2431)=Pr(F1)>l-\342\200\224= nk Let words, that the first contraction suppose we condition on the event F\\.

16: Consider the following game, played with three standard six-sided dice. ends with all three dice showing the same number, she wins. The player player 17 AND PROBABILITY EVENTS starts or all all three by rolling of the three dice and dice. After this can selectany first roll, the player them. After this re-roll second roll, two, one, can the player again the three diceand re-roll them one final time. For questions (a)-(d), assume the player uses the following strategy: if all three dice match, optimal stops and wins; if two dice match, the player re-rolls the die that does not match; and if no dice match, the player them all.

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Probability and Computing: Randomized Algorithms and Probabilistic Analysis by Michael Mitzenmacher


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