Probability and Computing : Randomized Algorithms and Probabilistic Analysis

Probability and Computing : Randomized Algorithms and Probabilistic Analysis

Probability and Computing : Randomized Algorithms and Probabilistic Analysis

more information about Probability and Computing : Randomized Algorithms and Probabilistic Analysis

Editorial Reviews
Review
'This text provides a solid background in probabilistic techniques, illustrating each with well-chosen examples. The explanations are clear, and convey the intuition behind the results and techniques, yet the coverage is rigorous. an excellent advanced undergraduate text.' Peter Bartlett, Professor of Computer Science, University of California, Berkeley
'This book is suitable as a text for upper division undergraduates and first year graduate students in computer science and related disciplines. It will also be useful as a reference for researchers who would like to incorporate these tools into their work. I enjoyed teaching from the book and highly recommend it.' Valerie King, Professor of Computer Science, University of Victoria, British Columbia
'Buy it, read it, enjoy it; profit from it. it feels as if it has been well tested out of students and will work straight away.' Colin Cooper, Department of computer Science, King's College, University of London

Book Description
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-semester course for graduate students in computer science and applied mathematics.

Probability and Computing : Randomized Algorithms and Probabilistic Analysis

Probability and Computing : Randomized Algorithms and Probabilistic Analysis,Michael Mitzenmacher,Eli Upfal,Cambridge University Press,0521835402,Algebra - General,Algorithms,General,Mathematical Analysis,Mathematics,Probabilities,Science/Mathematics,Stochastic analysis,Computers / General,Mathematical theory of computation

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