9781107154889-110715488X-Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis

3.5
ISBN-13: 9781107154889
ISBN-10: 110715488X
Edition: 2
Author: Michael Mitzenmacher, Eli Upfal
Publication date: 2017
Publisher: Cambridge University Press
Format: Hardcover 484 pages
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Book details

ISBN-13: 9781107154889
ISBN-10: 110715488X
Edition: 2
Author: Michael Mitzenmacher, Eli Upfal
Publication date: 2017
Publisher: Cambridge University Press
Format: Hardcover 484 pages

Summary

Acknowledged authors Michael Mitzenmacher , Eli Upfal wrote Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis comprising 484 pages back in 2017. Textbook and eTextbook are published under ISBN 110715488X and 9781107154889. Since then Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $ 16.39 or rent at the marketplace.

Description

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

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