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008 220601s2010 sz | s |||| 0|eng d
020 _a9783031798122
024 7 _a10.1007/978-3-031-79812-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA10.3
_b2010 EB
100 1 _aSasao, Tsutomu,
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686476
_d1950-
245 1 0 _aProgress in Applications of Boolean Functions
_cby Tsutomu Sasao, Jon Butler
250 _a1st edition 2010
264 1 _aCham
_bSpringer International Publishing
_c2010
300 _a1 recurso en línea (XIV, 139 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Digital Circuits & Systems
_x1932-3174
505 0 _aEquivalence Classes of Boolean Functions -- Boolean Functions for Cryptography -- Boolean Differential Calculus -- Synthesis of Boolean Functions in Reversible Logic -- Data Mining Using Binary Decision Diagrams.
520 _aThis 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.
988 _aSynthesis Collection of Technology_2010
650 7 _2embne
_9405096
_aBoole, Álgebra de
650 7 _2embne
_9158201
_aCriptografía (Informática)
700 1 _aButler, Jon
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9686475
776 0 8 _iPrinted edition:
_z9783031798115
776 0 8 _iPrinted edition:
_z9783031798139
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79812-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2023
_dz
_esc
_zSI