Progress in applications of Boolean functions /

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Bibliographic Details
Imprint:San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan and Claypool Publishers, c2010.
Description:1 electronic text (xiv, 139 pages : illustrations) : digital file.
Language:English
Series:Synthesis lectures on digital circuits and systems, 1932-3174 ; # 26
Synthesis lectures on digital circuits and systems (Online), # 26.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8512848
Hidden Bibliographic Details
Other authors / contributors:Sasao, Tsutomu, 1950-
Butler, Jon T.
ISBN:9781608451821 (electronic bk.)
9781608451814 (pbk.)
Notes:Title from PDF t.p. (viewed on January 11, 2010).
Series from website.
Includes bibliographical references and index.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Also available in printing.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
Summary:This book brings together five topics on the application of Boolean functions. They are: 1. Equivalence classes of Boolean functions: The number of n-variable functions is large, even for values as small as n = 6, and there has been much research on classifying functions. There are many classifications, each with its own distinct merit. 2. Boolean functions for cryptography: The process of encrypting/decrypting plaintext messages often depends on Boolean functions with specific properties. For example, highly nonlinear functions are valued because they are less susceptible to linear attacks. 3. Boolean differential calculus: An operation analogous to taking the derivative of a real-valued function offers important insight into the properties of Boolean functions. One can determine tests or susceptibility to hazards. 4. Reversible logic: Most logic functions are irreversible; it is impossible to reconstruct the input, given the output. However, Boolean functions that are reversible are necessary for quantum computing, and hold significant promise for low-power computing. 5. Data mining: The process of extracting subtle patterns from enormous amounts of data has benefited from the use of a graph-based representation of Boolean functions. This has use in surveillance, fraud detection, scientific discovery including bio-informatics, genetics, medicine, and education. Written by experts, these chapters present a tutorial view of new and emerging technologies in Boolean functions.
Standard no.:10.2200/S00243ED1V01Y200912DCS026