Utilitas Algorithmica (UA)

ISSN: xxxx-xxxx (print)

Utilitas Algorithmica (UA) is a premier, open-access international journal dedicated to advancing algorithmic research and its applications. Launched to drive innovation in computer science, UA publishes high-impact theoretical and experimental papers addressing real-world computational challenges. The journal underscores the vital role of efficient algorithm design in navigating the growing complexity of modern applications. Spanning domains such as parallel computing, computational geometry, artificial intelligence, and data structures, UA is a leading venue for groundbreaking algorithmic studies.

Alfred J.Menezes1, Yi-Hong Wu1
1Dept. of Discrete and Statistical Sciences 120 Math Annex Auburn University, Auburn, AL 36849
Abstract:

This paper presents a probabilistic polynomial-time reduction of the discrete logarithm problem in the general linear group \(\mathrm{GL}(n, \mathbb{F})\) to the discrete logarithm problem in some small extension fields of \(\mathbb{F}_p\).

Daphne D.-F.Liu1, Roger K.Yeh2
1 Department of Mathematics and Computer Science California State University Los Angeles, USA
2 Department of Applied Mathematics Feng Chia University Taiwan
Abstract:

A distance two labelling (or coloring) is a vertex labelling with constraints on vertices within distance two, while the regular vertex coloring only has constraints on adjacent vertices (i.e. distance one). In this article, we consider three different types of distance two labellings. For each type, the minimum span, which is the minimum range of colors used, will be explored. Upper and lower bounds are obtained. Graphs that attain those bounds will be demonstrated. The relations among the minimum spans of these three types are studied.

G. Faina1, S. Marcugini1, A. Milani1, F. Pambianco1
1 Dipartimento di Matematica Universita, Via Vanvitelli 1, 06123 Perugia, Italy
Abstract:

Arcs and linear maximum distance separable \((M.D.S.)\) codes are equivalent objects~\([25]\). Hence, all results on arcs can be expressed in terms of linear M.D.S. codes and conversely. The list of all complete \(k\)-arcs in \(\mathrm{PG}(2,q)\) has been previously determined for \(q \leq 16\). In this paper, (i) all values of \(k\) for which there exists a complete \(k\)-arc in \(\mathrm{PG}(2,q)\), with \(17 \leq q \leq 23\), are determined; (ii) a complete \(k\)-arc for each such possible \(k\) is exhibited.

W.C. Shiu1
1 Department of Mathematics Hong Kong Baptist: University 224 Waterloo Road Kowloon, Hong Kong
Abstract:

An \((r,s; m,n)\)-de Bruijn array is a periodic \(r \times s\) binary array in which each of the different \(m \times n\) matrices appears exactly once. C.T. Fan, S.M. Fan, S.L. Ma and M.K. Siu established a method to obtain either an \((r,2^n;m+1,n)\)-array or a \((2r,2^{n-1};m+1,n)\)-array from an \((r,s; m, n)\)-array. A class of square arrays are constructed by their method. In this paper, decoding algorithms for such arrays are described.

B.L. Hartnell 1
1Saint Mary’s University Halifax, Nova Scotia Canada B3H 3C3
Qing-De Kang1, Zhi-He Liang2
1Mathematics Department Hebei Normal College Shijiazhuang 050091 P.R. China
2Mathematics Department Hebei Educational College Shijiazhuang 050091 P.R. China
Abstract:

A covering of the complete directed symmetric graph \(DK_v\) by \(m\)-circuits, denoted by \((v,m) – {DCC}\), is a family of \(m\)-circuits in \(DK_v\) whose union is \(DK_v\). The covering number \(C(v,m)\) is the minimum number of \(m\)-circuits in such a covering.The covering problem is to determine the value \(C(v,m)\) for every integer \(v \geq m\). In this paper, the problem is reduced to the case \(m+5 \leq v \leq 2m – 4\), for any fixed even integer \(m \geq 4\).In particular, the values of \(C(v,m)\) are completely determined for \(m = 12, 14,\) and \(16\). Additionally, a directed construction of optimal \((6k + 11, 4k + 6) – {DCC}\) is given.

Yusheng Li1
1 Department of Mathematical Sciences The University of Memphis Memphis, Tennessee 38152
Abstract:

It is shown that if \(H\) is a connected graph obtained from \(H_1\) and \(H_2\) by joining them with a bridge, then \(r(K_k, H) \leq r(K_k, H_1) + r(K_k, H_2) + k – 2\). We give some applications of this result.

E.J. Cockayne1, P.J.P. Grobler2, S.T. Hedetniemi3, A.A. McRae4
1 Department of Mathematics University of Victoria P.O. Box 3045 Victoria BC Canada V8W 3P4
2Department of Mathematics, Applied Mathematics and Astronomy University of South Africa P.O. Box 392 Pretoria, 0001 South Africa
3Department of Computer Science Clemson University Clemson, South Carolina USA 29634-1906
4Department of Computer Science Appalachian State University Boone, North Carolina USA 28608
Abstract:

Two closely related types of vertex subsets of a graph, namely external redundant sets and weak external redundant sets, together with associated parameters, are discussed. Both types may be used to characterize those irredundant subsets of a graph which are maximal.

Sandra Hedetniemi1, Stephen T.Hedetniemi1, Michael A.Henning2
1 Department of Computer Science Clemson University Clemson, SC 29634-1906
2Department of Mathematics University of Natal Private Bag X01 Pietermaritzburg, 3209 South Africa
Abstract:

Let \(G\) be a graph and let \(S\) be a subset of vertices of \(G\). A vertex \(v\) of \(G\) is called perfect with respect to \(S\) if \(|N[v] \cap S| = 1\), where \(N[v]\) denotes the closed neighborhood of \(v\). The set \(S\) is defined to be a perfect neighborhood set of \(G\) if every vertex of \(G\) is perfect or adjacent with a perfect vertex.The perfect neighborhood number \(\theta(G)\) of \(G\) is defined to be the minimum cardinality among all perfect neighborhood sets of \(G\). In this paper, we present a variety of algorithmic results on the complexity of perfect neighborhood sets in graphs.

L. Gewali1, R. Venkatasubramanian1, D. Glasser1
1 HRH College of Engineering, University of Nevada, Las Vegas
Abstract:

We consider the problem of sweeping (or grazing) the interior/exterior of a polygon by a flexible rope whose one endpoint (anchor) is attached on the boundary of the polygon. We present a linear-time algorithm to compute the grazing area inside a simple polygon. We show how to extend the algorithm for computing the internal grazing area, without increasing its time complexity, to compute the grazing area in the exterior of a simple polygon. For grazing in the exterior of a convex polygon, we present an \(O(n)\) time algorithm to locate the anchor point that maximizes the simple grazing area. All three algorithms are optimal within a constant factor. Grazing area problems can be viewed as guard placement problems under \(L\)-visibility.

Special Issues

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