1997
DOI: 10.1515/dma.1997.7.6.565
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On the complexity of completeness recognition of systems of Boolean functions realized in the form of Zhegalkin polynomials

Abstract: The existence of an algorithm with polynomial time complexity which determines whether a system of Boolean functions realized in the form of Zhegalkin polynomial is complete is proved. It is also proved that if / is the length and r is the rank of the polynomial for a Boolean function, then / > \flJ -1 for a self-dual function and / > ^/2' : for an even function.

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Cited by 6 publications
(2 citation statements)
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“…In this area of research some interesting results were obtained earlier by S.N. Selezneva [1], S.P. Gorshkov [2].…”
Section: Introductionmentioning
confidence: 77%
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“…In this area of research some interesting results were obtained earlier by S.N. Selezneva [1], S.P. Gorshkov [2].…”
Section: Introductionmentioning
confidence: 77%
“…However, we shall not write out algorithms in the form of programs for the RAM, since such programs are rather long and unreadable. As in the works [1,2] we shall describe algorithms in terms of some simplest procedures for the RAM (such as the multiplication of monomials, search for the least monomial, and so on), which can be easily implemented by the reader if necessary.…”
Section: De Nition 4 a Boolean Function Is Said To Be Periodic With mentioning
confidence: 99%