L(h,k)-Labeling of Intersection Graphs

Author(s):  
Sk. Amanathulla ◽  
Madhumangal Pal

One important problem in graph theory is graph coloring or graph labeling. Labeling problem is a well-studied problem due to its wide applications, especially in frequency assignment in (mobile) communication system, coding theory, ray crystallography, radar, circuit design, etc. For two non-negative integers, labeling of a graph is a function from the node set to the set of non-negative integers such that if and if, where it represents the distance between the nodes. Intersection graph is a very important subclass of graph. Unit disc graph, chordal graph, interval graph, circular-arc graph, permutation graph, trapezoid graph, etc. are the important subclasses of intersection graphs. In this chapter, the authors discuss labeling for intersection graphs, specially for interval graphs, circular-arc graphs, permutation graphs, trapezoid graphs, etc., and have presented a lot of results for this problem.

2021 ◽  
Vol 13 (2) ◽  
pp. 537-544
Author(s):  
S. Amanathulla ◽  
B. Bera ◽  
M. Pal

Graph labeling problem has been broadly studied in recent past for its wide applications, in mobile communication system for frequency assignment, radar, circuit design, X-ray crystallography, coding theory, etc. An L211-labeling  (L211L) of a graph G = (V, E) is a function γ : V → Z∗ such that |γ(u) − γ(v)| ≥ 2, if d(u, v) = 1 and |γ(u) − γ(v)| ≥ 1, if  d(u, v) = 1 or 2, where  Z∗  be the set of non-negative integers and d(u, v) represents the distance between the nodes u and v. The L211L numbers of a graph G, are denoted by λ2,1,1(G) which is the difference between largest and smallest labels used in L211L. In this article, for circular-arc graph (CAG) G we have proved that λ2,1,1(G) ≤ 6∆ − 4, where ∆ represents the degree of the graph. Beside this we have designed a polynomial time algorithm to label a CAG satisfying the conditions of L211L. The time complexity of the algorithm is O(n∆2), where n is the number of nodes of the graph G.


2019 ◽  
Vol 262 ◽  
pp. 195-202 ◽  
Author(s):  
Esther Galby ◽  
María Pía Mazzoleni ◽  
Bernard Ries

1999 ◽  
Vol 10 (04) ◽  
pp. 465-472 ◽  
Author(s):  
ALAN P. SPRAGUE ◽  
TADAO TAKAOKA

We present an algorithm for the All Pairs Shortest Distance problem on an interval graph on n vertices: after O(n) preprocessing time, the algorithm can deliver a response to a distance query in O(1) time. The method used here is simpler than the method of Chen et al. [4], which has the same preprocessing and query time. It is assumed that an interval model for the graph is given, and ends of intervals are already sorted by coordinate. The preprocessing algorithm can be executed in the EREW PRAM model in O( log n) time, using n/ log n processors. These algorithms (sequential and parallel) may be extended to circular arc graphs, with the same time and processor bounds.


Author(s):  
Madhumangal Pal

In this chapter, a very important class of graphs called intersection graph is introduced. Based on the geometrical representation, many different types of intersection graphs can be defined with interesting properties. Some of them—interval graphs, circular-arc graphs, permutation graphs, trapezoid graphs, chordal graphs, line graphs, disk graphs, string graphs—are presented here. A brief introduction of each of these intersection graphs along with some basic properties and algorithmic status are investigated.


2018 ◽  
Vol 234 ◽  
pp. 12-21 ◽  
Author(s):  
Liliana Alcón ◽  
Flavia Bonomo ◽  
Guillermo Durán ◽  
Marisa Gutierrez ◽  
María Pía Mazzoleni ◽  
...  

2015 ◽  
Vol 50 ◽  
pp. 249-254 ◽  
Author(s):  
Liliana Alcón ◽  
Flavia Bonomo ◽  
Guillermo Durán ◽  
Marisa Gutierrez ◽  
María Pía Mazzoleni ◽  
...  

2018 ◽  
Vol 35 (1) ◽  
pp. 739-748 ◽  
Author(s):  
Sk. Amanathulla ◽  
Madhumangal Pal

1981 ◽  
Vol 2 (2) ◽  
pp. 88-93 ◽  
Author(s):  
James B. Orlin ◽  
Maurizio A. Bonuccelli ◽  
Daniel P. Bovet

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