**Praise for the __Third Edition__**
**“Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.”**
**- __MAA Reviews__**
Maintaining a standard of excellence that establishes __The Probabilistic Method__ as the leading reference on probabilistic methods in combinatorics, the __Fourth Edition__ continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent developments and advances in discrete mathematics and the connections to other areas in mathematics, theoretical computer science, and statistical physics.
Emphasizing the methodology and techniques that enable problem-solving, __The Probabilistic Method, Fourth Edition__ begins with a description of tools applied to probabilistic arguments, includingbasic techniques that use expectation and variance as well as the more advanced applications ofmartingales and correlation inequalities. The authors explore where probabilistic techniques havebeen applied successfully and also examine topical coverage such as discrepancy and random graphs,circuit complexity, computational geometry, and derandomization of randomized algorithms.Written by two well-known authorities in the field, the __Fourth Edition__ features:
* Additional exercises throughout with hints and solutions to select problems in an appendix to help readers obtain a deeper understanding of the best methods and techniques
* New coverage on topics such as the Local Lemma, Six Standard Deviations result in Discrepancy Theory, Property B, and graph limits
* Updated sections to reflect major developments on the newest topics, discussions of the hypergraph container method, and many new references and improved results
__The Probabilistic Method, Fourth Edition__ is an ideal textbook for upper-undergraduate and graduate-level students majoring in mathematics, computer science, operations research, and statistics. The __Fourth Edition__ is also an excellent reference for researchers and combinatorists who use probabilistic methods, discrete mathematics, and number theory.
**Noga Alon, PhD,** is Baumritter Professor of Mathematics and Computer Science at Tel Aviv University. He is a member of the Israel National Academy of Sciences and Academia Europaea. A coeditor of the journal __Random Structures and Algorithms__, Dr. Alon is the recipient of the Polya Prize, The Gödel Prize, The Israel Prize, and the EMET Prize.
**Joel H. Spencer, PhD,** is Professor of Mathematics and Computer Science at the Courant Institute of New York University. He is the cofounder and coeditor of the journal __Random Structures__ __and Algorithms__ and is a Sloane Foundation Fellow. Dr. Spencer has written more than 200 published articles and is the coauthor of __Ramsey Theory, Second Edition__, also published by Wiley.

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

Alon, Noga, Spencer, Joel H.

John Wiley & Sons, Incorporated

American Geophysical Union

Wiley-Blackwell

Wiley series in discrete mathematics and optimization, Fourth edition, Hoboken, New Jersey, 2016

Wiley series in discrete mathematics and optimization, Fourth edition, Hoboken, 2015

Online access with DDA: Askews (Maths), Fourth edition, Hoboken, New Jersey, 2016

Fourth edition., Hoboken, New Jersey, New Jersey, 2016

John Wiley & Sons, Inc., Hoboken, New Jersey, 2016

United States, United States of America

kolxoz -- 80

lg2130485

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Includes bibliographical references and index.

Praise for the Third Edition
“Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.” - MAA Reviews
Maintaining a standard of excellence that establishes The Probabilistic Method as the leading reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent developments and advances in discrete mathematics and the connections to other areas in mathematics, theoretical computer science, and statistical physics.
Emphasizing the methodology and techniques that enable problem-solving, The Probabilistic Method, Fourth Edition begins with a description of tools applied to probabilistic arguments, including basic techniques that use expectation and variance as well as the more advanced applications of martingales and correlation inequalities. The authors explore where probabilistic techniques have been applied successfully and also examine topical coverage such as discrepancy and random graphs, circuit complexity, computational geometry, and derandomization of randomized algorithms. Written by two well-known authorities in the field, the Fourth Edition features:
Additional exercises throughout with hints and solutions to select problems in an appendix to help readers obtain a deeper understanding of the best methods and techniques New coverage on topics such as the Local Lemma, Six Standard Deviations result in Discrepancy Theory, Property B, and graph limits Updated sections to reflect major developments on the newest topics, discussions of the hypergraph container method, and many new references and improved results The Probabilistic Method, Fourth Edition is an ideal textbook for upper-undergraduate and graduate-level students majoring in mathematics, computer science, operations research, and statistics. The Fourth Edition is also an excellent reference for researchers and combinatorists who use probabilistic methods, discrete mathematics, and number theory.
Noga Alon, PhD, is Baumritter Professor of Mathematics and Computer Science at Tel Aviv University. He is a member of the Israel National Academy of Sciences and Academia Europaea. A coeditor of the journal Random Structures and Algorithms , Dr. Alon is the recipient of the Polya Prize, The Gödel Prize, The Israel Prize, and the EMET Prize.
Joel H. Spencer, PhD, is Professor of Mathematics and Computer Science at the Courant Institute of New York University. He is the cofounder and coeditor of the journal Random Structures and Algorithms and is a Sloane Foundation Fellow. Dr. Spencer has written more than 200 published articles and is the coauthor of Ramsey Theory, Second Edition , also published by Wiley.

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 Erd's-the developer of the probabilistic method

2017-10-15