9780471370468-0471370460-The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization)

The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization)

ISBN-13: 9780471370468
ISBN-10: 0471370460
Edition: 2
Author: Noga Alon, Joel H. Spencer
Publication date: 2000
Publisher: Wiley-Interscience
Format: Hardcover 328 pages
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Book details

ISBN-13: 9780471370468
ISBN-10: 0471370460
Edition: 2
Author: Noga Alon, Joel H. Spencer
Publication date: 2000
Publisher: Wiley-Interscience
Format: Hardcover 328 pages

Summary

The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization) (ISBN-13: 9780471370468 and ISBN-10: 0471370460), written by authors Noga Alon, Joel H. Spencer, was published by Wiley-Interscience in 2000. With an overall rating of 4.0 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent The Probabilistic Method (Wiley Series in Discrete Mathematics and Optimization) (Hardcover, Used) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.82.

Description

The leading reference on probabilistic methods in combinatorics-now expanded and updated

When it was first published in 1991, The Probabilistic Method became instantly the standard reference on one of the most powerful and widely used tools in combinatorics. Still without competition nearly a decade later, this new edition brings you up to speed on recent developments, while adding useful exercises and over 30% new material. It continues to emphasize the basic elements of the methodology, discussing in a remarkably clear and informal style both algorithmic and classical methods as well as modern applications.

The Probabilistic Method, Second Edition begins with basic techniques that use expectation and variance, as well as the more recent martingales and correlation inequalities, then explores areas where probabilistic techniques proved successful, including discrepancy and random graphs as well as cutting-edge topics in theoretical computer science. A series of proofs, or "probabilistic lenses," are interspersed throughout the book, offering added insight into the application of the probabilistic approach. New and revised coverage includes:
* Several improved as well as new results
* A continuous approach to discrete probabilistic problems
* Talagrand's Inequality and other novel concentration results
* A discussion of the connection between discrepancy and VC-dimension
* Several combinatorial applications of the entropy function and its properties
* A new section on the life and work of Paul Erdös-the developer of the probabilistic method

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