Abstract:Given any fixed nonnegative integer values h and k, the L(h, k)labelling problem consists in an assignment of nonnegative integers to the nodes of a graph such that adjacent nodes receive values which differ by at least h, and nodes connected by a 2 length path receive values which differ by at least k. The span of an L(h, k)-labelling is the difference between the largest and the smallest assigned frequency. The goal of the problem is to find out an L(h, k)-labelling with minimum span. The L(h, k)-labelling p… Show more
“…Firstly, we establish the lower and upper bound. [8,10,12,14,18,16,13,11,9,7,3,5], A 6 = [8,10,12,14,17,19,15,13,11,9,7,3,5]. Now we give an L(2, 1)-labeling of C 2 n with edge span 6, as shown in Table 1.…”
Section: The L(2 1) Edge Span Of the Square Of A Cyclementioning
confidence: 99%
“…Therefore, the problem has been studied for many special classes of graphs, such as regular grids [1,2], product graphs [10,14], trees [4,18], planar graphs [17], generalized flowers [11], permutation and bipartite permutation graphs [15] and so on. For more details, one may refer to the surveys [3,19].…”
Abstract. An L(2, 1)-labeling of a graph G is a function f from the vertex set V (G) to the set of all non-negative integers such thatThe λ-number of G, denoted λ(G), is the smallest number k such that G admits an L(2, 1)-labeling with k = max{f (u)|u ∈ V (G)}. In this paper, we consider the square of a cycle and provide exact value for its λ-number. In addition, we also completely determine its edge span.
“…Firstly, we establish the lower and upper bound. [8,10,12,14,18,16,13,11,9,7,3,5], A 6 = [8,10,12,14,17,19,15,13,11,9,7,3,5]. Now we give an L(2, 1)-labeling of C 2 n with edge span 6, as shown in Table 1.…”
Section: The L(2 1) Edge Span Of the Square Of A Cyclementioning
confidence: 99%
“…Therefore, the problem has been studied for many special classes of graphs, such as regular grids [1,2], product graphs [10,14], trees [4,18], planar graphs [17], generalized flowers [11], permutation and bipartite permutation graphs [15] and so on. For more details, one may refer to the surveys [3,19].…”
Abstract. An L(2, 1)-labeling of a graph G is a function f from the vertex set V (G) to the set of all non-negative integers such thatThe λ-number of G, denoted λ(G), is the smallest number k such that G admits an L(2, 1)-labeling with k = max{f (u)|u ∈ V (G)}. In this paper, we consider the square of a cycle and provide exact value for its λ-number. In addition, we also completely determine its edge span.
“…In this context, L(2, 1)-labeling is generalized into L(p, q)-labeling for arbitrary nonnegative integers p and q, and in fact, we can see that L(1, 0)-labeling (L(p, 0)-labeling, actually) is equivalent to the classical vertex coloring. We can find a lot of related results on L(p, q)-labelings in comprehensive surveys by Calamoneri [11,12] and by Yeh [68]. The survey paper [12] is still updated and we can download the latest version from a web page 1 .…”
Section: (G) a K-l(p Q)-labeling Is An L(p Q)-labeling F : V (G) →mentioning
confidence: 99%
“…We can find a lot of related results on L(p, q)-labelings in comprehensive surveys by Calamoneri [11,12] and by Yeh [68]. The survey paper [12] is still updated and we can download the latest version from a web page 1 . The current latest version is ver.…”
Section: (G) a K-l(p Q)-labeling Is An L(p Q)-labeling F : V (G) →mentioning
Distance constrained labeling problems, e.g., L(p, q)-labeling and (p, q)-total labeling, are originally motivated by the frequency assignment. From the viewpoint of theory, the upper bounds on the labeling numbers and the time complexity of finding a minimum labeling are intensively and extensively studied. In this paper, we survey the distance constrained labeling problems from algorithmic aspects, that is, computational complexity, approximability, exact computation, and so on.
“…The second neighborhood is the set of vertices (or edges) at distance at most 2. For a survey about distance labelings, we refer to the article by Tiziana Calamoneri [2], as well as her online survey [3].…”
Abstract. The problem of Distance Edge Labeling is a variant of Distance Vertex Labeling (also known as L2,1 labeling) that has been studied for more than twenty years and has many applications, such as frequency assignment. The Distance Edge Labeling problem asks whether the edges of a given graph can be labeled such that the labels of adjacent edges differ by at least two and the labels of edges at distance two differ by at least one. Labels are chosen from the set {0, 1, . . . , λ} for λ fixed. We present a full classification of its computational complexity-a dichotomy between the polynomially solvable cases and the remaining cases which are NP-complete. We characterise graphs with λ ≤ 4 which leads to a polynomial-time algorithm recognizing the class and we show NPcompleteness for λ ≥ 5 by several reductions from Monotone Not All Equal 3-SAT.
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