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By
Michael Mitzenmacher and
Eli Upfal
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Jump down to see edition details for: Hardcover
Bibliographic Detail
Publisher
Cambridge Univ Pr
Publication date
January 31, 2005
Pages
352
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780521835404
ISBN-10
0521835402
Dimensions
1 by 7 by 10 in.
Weight
1.78 lbs.
Original list price
$84.99
Other format details
university press
Amazon.com says people who bought this book also bought:
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis | Deep Learning (Adaptive Computation and Machine Learning series) | Refactoring | Randomized Algorithms | The Probabilistic Method | Algorithms | Introduction to Algorithms
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis | Deep Learning (Adaptive Computation and Machine Learning series) | Refactoring | Randomized Algorithms | The Probabilistic Method | Algorithms | Introduction to Algorithms
Summaries and Reviews
Amazon.com description: Product 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.
Editions
Hardcover
The price comparison is for this edition
from Cambridge Univ Pr (January 31, 2005)
9780521835404 | details & prices | 352 pages | 7.00 × 10.00 × 1.00 in. | 1.78 lbs | List price $84.99
About: 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.
About: 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.
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