An improved test of Boolean functions for k-dimensionality

A probabilistic test of Boolean functions for k -dimensionality is constructed. The test has a less time complexity and a smaller first kind error probability (with the same upper bound for the second kind error probability) in comparison with a well-known previously proposed test.

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Veröffentlicht in:Cybernetics and systems analysis Jg. 49; H. 2; S. 183 - 190
Hauptverfasser: Alekseychuk, A. N., Konyushok, S. N.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Boston Springer US 01.03.2013
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ISSN:1060-0396, 1573-8337
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Abstract A probabilistic test of Boolean functions for k -dimensionality is constructed. The test has a less time complexity and a smaller first kind error probability (with the same upper bound for the second kind error probability) in comparison with a well-known previously proposed test.
AbstractList A probabilistic test of Boolean functions for k-dimensionality is constructed. The test has a less time complexity and a smaller first kind error probability (with the same upper bound for the second kind error probability) in comparison with a well-known previously proposed test.
A probabilistic test of Boolean functions for k-dimensionality is constructed. The test has a less time complexity and a smaller first kind error probability (with the same upper bound for the second kind error probability) in comparison with a well-known previously proposed test. Keywords: testing property of Boolean functions, probabilistic algorithm, k-dimensional function, Walsh-Hadamard transform.
A probabilistic test of Boolean functions for k -dimensionality is constructed. The test has a less time complexity and a smaller first kind error probability (with the same upper bound for the second kind error probability) in comparison with a well-known previously proposed test.
Audience Academic
Author Konyushok, S. N.
Alekseychuk, A. N.
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  givenname: S. N.
  surname: Konyushok
  fullname: Konyushok, S. N.
  organization: Institute of Special Communication and Information Protection, National Technical University of Ukraine “Kyiv Polytechnic Institute”
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CitedBy_id crossref_primary_10_1007_s10559_014_9673_x
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Cites_doi 10.1109/TIT.2005.856958
10.1137/100785429
10.1090/mmono/241
ContentType Journal Article
Copyright Springer Science+Business Media New York 2013
COPYRIGHT 2013 Springer
Cybernetics and Systems Analysis is a copyright of Springer, 2013.
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testing property of Boolean functions
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SubjectTerms Algorithms
Analysis
Artificial Intelligence
Boolean
Boolean functions
Codes
Complexity
Control
Cybernetics
Errors
Hypotheses
Mathematical analysis
Mathematics
Mathematics and Statistics
Probabilistic methods
Probability
Probability theory
Processor Architectures
Software Engineering/Programming and Operating Systems
Studies
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Systems Theory
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