2021
DOI: 10.1134/s1064230721010056
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Algorithm of Multidimensional Data Transmission Using Extremal Uniform Hypergraphs

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Cited by 4 publications
(6 citation statements)
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“…We have obtained an elegant and more efficient algorithm for finding the power of the set EUH 3 n . This problem makes not only theoretical but also practical sense if we remember that this parameter is taken into account when used as a key in the topological encryption algorithm [14].…”
Section: Discussionmentioning
confidence: 99%
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“…We have obtained an elegant and more efficient algorithm for finding the power of the set EUH 3 n . This problem makes not only theoretical but also practical sense if we remember that this parameter is taken into account when used as a key in the topological encryption algorithm [14].…”
Section: Discussionmentioning
confidence: 99%
“…The constructed theory, as is now well seen, has a wide field of practical applications. Let us note only some of them: computer network modeling and design [3,4], including wireless nets [5]; the modeling of transport networks and calculation of loads on them [6]; social interaction analysis [7] and filtering music tracks [8,9]; database design [10] and neural network design [11][12][13]; cryptography [14][15][16][17]; and data visualization [18]. At the same time, hypergraphs themselves are rather amorphous structures, which led to the necessity to distinguish between various classes of hypergraphs with essentially different parameters and constraints: hypertrees [19], hypernetworks [6], and uniform hypergraphs [20][21][22][23][24][25] (also known as complexes [26]).…”
Section: Introductionmentioning
confidence: 99%
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“…In fact, researchers can use hypergraphs to describe any model where there are at least some relations between objects. Moreover, unlike graphs, it is possible to describe very complex relationships between groups of objects simultaneously [9][10][11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…The latter is true only for the two-dimensional and three-dimensional cases. The obtained characterizations have applications in new algorithms of data encryption [10,12,16], and also help in studies of the class of extreme hypergraphs [23] itself.…”
Section: Introductionmentioning
confidence: 99%