Progress in applications of Boolean functions

Bibliographic Information

Progress in applications of Boolean functions

Tsutomu Sasao, Jon T. Butler

(Synthesis Lectures on digital circuits and systems, 26)

Morgan & Claypool, c2010

  • : pbk

Available at  / 5 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

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 their 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.

Table of Contents

Equivalence Classes of Boolean Functions Boolean Functions for Cryptography Boolean Differential Calculus Synthesis of Boolean Functions in Reversible Logic Data Mining Using Binary Decision Diagrams

by "Nielsen BookData"

Related Books: 1-1 of 1

Details

  • NCID
    BB08085482
  • ISBN
    • 9781608451814
  • Country Code
    us
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    [San Rafael]
  • Pages/Volumes
    xiv, 139 p.
  • Size
    24 cm
  • Parent Bibliography ID
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