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Probability and Computing: Randomized Algorithms and Probabilistic Analysis

Michael Mitzenmacher, Eli Upfal




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 | #146265 in Books |  Cambridge University Press |  2005-01-31 | Original language:English | PDF # 1 |  9.96 x.98 x6.97l,1.78 | File type: PDF | 370 pages

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||2 of 2 people found the following review helpful.| Great book for a clean introduction to (advanced) discrete probability|By MA|This book is a really nice introduction to probability (graduate level).
The material is presented in a way appealing to an engineer; the authors
- describe concepts (and provide intuition) that are motivated (derived) by applications in computer science and electrical engineering,
- res| |"An excellent book which sets off straight away in Chapter 1 with interesting motivational examples, striking the right balance between theory and application. Having both breadth and depth it is accessible and interesting to both undergraduate and graduate st

Assuming only an elementary background in discrete mathematics, this textbook is an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It includes random sampling, expectations, Markov's and Chevyshev's inequalities, Chernoff bounds, balls and bins models, the probabilistic method, Markov chains, MCMC, martingales, entropy, and other topics. The book is designed to accompany a one- or two...

You easily download any file type for your device.Probability and Computing: Randomized Algorithms and Probabilistic Analysis   |  Michael Mitzenmacher, Eli Upfal. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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