Randomized Algorithms and Probabilistic Analysis Michael ...

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tations, Markov's inequality, Chebyshev's inequality, ChernotT bounds, balls-and-bins models, the probabilistic method, and Markov chains. In the second half, the authors delve into more advanced topics such as continuous probability, applications of limited independence, entropy, Markov chain Monte Carlo methods. coupling, martingales,

  Chain, Oracl, Monte, Markov, Markov chain monte carlo