Progress in Applications of Boolean Functions / by Tsutomu Sasao, Jon Butler
By: Sasao, Tsutomu,, autor
Contributor(s): Butler, Jon, autor
Material type:
E-bookSeries: (Synthesis Lectures on Digital Circuits & Systems, 1932-3174).Publisher: Cham : Springer International Publishing, 2010Edition: 1st edition 2010.Description: 1 recurso en línea (XIV, 139 páginas).ISBN: 9783031798122.Subject: Boole, Álgebra de
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA10.3 2010 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01112099 |
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.
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.
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