Sergey Bereg
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Sergey Bereg has a total of 117 co-authors. Here are the top co-authors by number of shared publications:
- Jose Miguel Diaz-Bañez
Department of Applied Mathematics University of Seville SPAIN
7 shared publications - Jorge Urrutia
Instituto de Matemáticas, Universidad Nacional Autónoma de México, Mexico City, Mexico
6 shared publications - Minghui Jiang
Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA
5 shared publications - Adrian Dumitrescu
Department of Computer Science University of Wisconsin-Milwaukee USA
4 shared publications - Binhai Zhu
Montana State University
4 shared publications - Binhai Zhu
Montana State University
4 shared publications
Latest Publications
- Open Access
- 30 June 2026
- Published by MDPI AG in Mathematics
- Vol. 14 (13) , 2310
Computational Lower Bounds for Wheel Ramsey Numbers
We study small off-diagonal Ramsey numbers involving wheel graphs. Following Radziszowski’s convention, we write for the wheel on n vertices. A lower bound for is certified by a graph G such that G is -free and is -free. We conduct computational experiments using several complementary search techniques, including partial Ramsey colorings and local search procedures. The computations exploit the structure of wheels: G contains if and only if some vertex neighborhood contains a cycle . We report new lower-bound constructions for three off-diagonal wheel Ramsey numbers and provide the corresponding Ramsey graphs as explicit certificates.- 30 June 2026
- Published by MDPI AG in Mathematics
- Vol. 14 (13) , 2310
Open AccessComputational Lower Bounds for Wheel Ramsey Numbers
We study small off-diagonal Ramsey numbers involving wheel graphs. Following Radziszowski’s convention, we write for the wheel on n vertices. A lower bound for is certified by a graph G such that G is -free and is -free. We conduct computational experiments using several complementary search techniques, including partial Ramsey colorings and local search procedures. The computations exploit the structure of wheels: G contains if and only if some vertex neighborhood contains a cycle . We report new lower-bound constructions for three off-diagonal wheel Ramsey numbers and provide the corresponding Ramsey graphs as explicit certificates. - Open Access
Efficient Algorithms for Permutation Arrays from Permutation Polynomials
We develop algorithms for computing permutation polynomials (PPs) using normalization, so-called F-maps and G-maps, and the Hermite criterion. This allows for a more efficient computation of PPs for larger degrees and for larger finite fields. We use this to improve some lower bounds for , the maximum number of permutations on n symbols with a pairwise Hamming distance of D.Open AccessEfficient Algorithms for Permutation Arrays from Permutation Polynomials
We develop algorithms for computing permutation polynomials (PPs) using normalization, so-called F-maps and G-maps, and the Hermite criterion. This allows for a more efficient computation of PPs for larger degrees and for larger finite fields. We use this to improve some lower bounds for , the maximum number of permutations on n symbols with a pairwise Hamming distance of D. - 26 June 2025
- Published by World Scientific Pub Co Pte Ltd in Discrete Mathematics, Algorithms and Applications
- Vol. 18 (01)
Bounds for permutation arrays under Kendall Tau metric
Permutation arrays under the Kendall-[ ] metric have been considered for error-correcting codes. Given [ ] and [ ], the task is to find a large permutation array of permutations on [ ] symbols with pairwise Kendall-[ ] distance at least [ ]. Let [ ] denote the maximum size of any permutation array of permutations on [ ] symbols with pairwise Kendall-[ ] distance [ ]. New algorithms and several theorems are presented, giving improved lower bounds for [ ]. Also, [ ]-arrays are defined, which are permutation arrays on [ ] symbols with Kendall-[ ] distance [ ], with the restriction that symbols [ ] appear in increasing order. Let [ ] denote the maximum size of any [ ]-array. For example, [ ]-arrays are useful for recursively computing lower bounds for [ ]. Lower and upper bounds are given for [ ].
- 26 June 2025
- Published by World Scientific Pub Co Pte Ltd in Discrete Mathematics, Algorithms and Applications
- Vol. 18 (01)
Bounds for permutation arrays under Kendall Tau metric
Permutation arrays under the Kendall-[ ] metric have been considered for error-correcting codes. Given [ ] and [ ], the task is to find a large permutation array of permutations on [ ] symbols with pairwise Kendall-[ ] distance at least [ ]. Let [ ] denote the maximum size of any permutation array of permutations on [ ] symbols with pairwise Kendall-[ ] distance [ ]. New algorithms and several theorems are presented, giving improved lower bounds for [ ]. Also, [ ]-arrays are defined, which are permutation arrays on [ ] symbols with Kendall-[ ] distance [ ], with the restriction that symbols [ ] appear in increasing order. Let [ ] denote the maximum size of any [ ]-array. For example, [ ]-arrays are useful for recursively computing lower bounds for [ ]. Lower and upper bounds are given for [ ].
- Open Access
Upper Bounds for Chebyshev Permutation Arrays
We improve on known upper bounds for the size of permutation arrays under the Chebyshev metric, defined as follows. The Chebyshev distance between permutations and on the symbols , denoted by , is . For an array A (set) of such permutations, the Chebyshev distance of A, denoted by , is . An array A of such permutations with will be called an -PA. Let denote the maximum size of any -PA. The function has been the subject of previous research. In this paper, we consider strings on the symbols , with the 0’s representing low symbols and the 2’s high symbols for the function . An array A of such strings of length n is separable if for any two strings in A, there is a position such that the symbol in one string is 0 and the symbol in the other is a 2. The maximum size of a separable array of strings of length n, with a occurrences of the symbol 0 and b occurrences of the symbol 2, is denoted by . We show that is an upper bound for when . We derive upper bounds for by various recursive and combinatorial methods, from which follow upper bounds for the Chebyshev function , which improve upon previous such upper bounds in the literature.Open AccessUpper Bounds for Chebyshev Permutation Arrays
We improve on known upper bounds for the size of permutation arrays under the Chebyshev metric, defined as follows. The Chebyshev distance between permutations and on the symbols , denoted by , is . For an array A (set) of such permutations, the Chebyshev distance of A, denoted by , is . An array A of such permutations with will be called an -PA. Let denote the maximum size of any -PA. The function has been the subject of previous research. In this paper, we consider strings on the symbols , with the 0’s representing low symbols and the 2’s high symbols for the function . An array A of such strings of length n is separable if for any two strings in A, there is a position such that the symbol in one string is 0 and the symbol in the other is a 2. The maximum size of a separable array of strings of length n, with a occurrences of the symbol 0 and b occurrences of the symbol 2, is denoted by . We show that is an upper bound for when . We derive upper bounds for by various recursive and combinatorial methods, from which follow upper bounds for the Chebyshev function , which improve upon previous such upper bounds in the literature. - 22 February 2024
- Published by Elsevier in Discrete Applied Mathematics
- Vol. 349, 170-181
Connectivity and stochastic robustness of synchronized multi-drone systems
- 22 February 2024
- Published by Elsevier in Discrete Applied Mathematics
- Vol. 349, 170-181
Connectivity and stochastic robustness of synchronized multi-drone systems
- 9 December 2023
- Published by Springer Nature
- p. 165-174
Computing Random r-Orthogonal Latin Squares
- 9 December 2023
- Published by Springer Nature
- p. 220-231
Red-Black Spanners for Mixed-Charging Vehicular Networks
- 9 December 2023
- Published by Springer Nature
- p. 220-231
Red-Black Spanners for Mixed-Charging Vehicular Networks
- 6 December 2023
- Published by Springer Nature in Designs, Codes and Cryptography
- Vol. 92 (4) , 1023-1039
Improved bounds for permutation arrays under Chebyshev distance
- 6 December 2023
- Published by Springer Nature in Designs, Codes and Cryptography
- Vol. 92 (4) , 1023-1039
Improved bounds for permutation arrays under Chebyshev distance
- Open Access
The Two-Squirrel Problem and Its Relatives
In this paper, we start with a variation of the star cover problem called the Two-Squirrel problem. Given a set $P$ of $2n$ points in the plane, and two sites $c_1$ and $c_2$, compute two $n$-stars $S_1$ and $S_2$ centered at $c_1$ and $c_2$ respectively such that the maximum weight of $S_1$ and $S_2$ is minimized. This problem is strongly NP-hard by a reduction from Equal-size Set-Partition with Rationals. Then we consider two variations of the Two-Squirrel problem, namely the Two-MST and Two-TSP problem, which are both NP-hard. The NP-hardness for the latter is obvious while the former needs a non-trivial reduction from Equal-size Set-Partition with Rationals. In terms of approximation algorithms, for Two-MST and Two-TSP we give factor 3.6402 and $4+\varepsilon$ approximations respectively. Finally, we also show some interesting polynomial-time solvable cases for Two-MST.Open AccessThe Two-Squirrel Problem and Its Relatives
In this paper, we start with a variation of the star cover problem called the Two-Squirrel problem. Given a set $P$ of $2n$ points in the plane, and two sites $c_1$ and $c_2$, compute two $n$-stars $S_1$ and $S_2$ centered at $c_1$ and $c_2$ respectively such that the maximum weight of $S_1$ and $S_2$ is minimized. This problem is strongly NP-hard by a reduction from Equal-size Set-Partition with Rationals. Then we consider two variations of the Two-Squirrel problem, namely the Two-MST and Two-TSP problem, which are both NP-hard. The NP-hardness for the latter is obvious while the former needs a non-trivial reduction from Equal-size Set-Partition with Rationals. In terms of approximation algorithms, for Two-MST and Two-TSP we give factor 3.6402 and $4+\varepsilon$ approximations respectively. Finally, we also show some interesting polynomial-time solvable cases for Two-MST.