DocumentCode
265938
Title
Computation of all possible maximal cliques of a weakly triangulated graph in polynomial time
Author
Bandyopadhyay, Supriyo ; Kumar Pal, Rajat
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Calcutta, Kolkata, India
fYear
2014
fDate
27-29 Aug. 2014
Firstpage
159
Lastpage
168
Abstract
In this paper, we have addressed the computation of an invariant of weakly triangulated graph. The invariant computed here are all possible maximal cliques of the specific graph class. The logic of computing all possible maximal cliques of weakly triangulated graph is based on one of its prime characterization, i.e., existence of more than one 2-pair in a weakly triangulated graph. For each graph belonging to such a class there exists a sequence of 2-pairs whose successive merging leads the graph into a complete one. In a reverse way successive decomposition of vertices of the obtained complete graph ultimately yields some non-decomposable induced subgraph of the original weakly triangulated graph. These non-decomposable induced subgraphs are not only maximal cliques, but subcliques or redundant occurrences of the same maximal cliques. Our algorithm proposed in this paper, while breaking by 2-pairs produces only maximal cliques in O(n3 log |E|) time for a weakly triangulated graph G = (V, E), where |V| = n. The paper along with the algorithm contains necessary theorems, lemmas, etc., proving that the algorithm invented here terminates successfully and produces the desired maximal cliques only.
Keywords
graph theory; polynomials; nondecomposable induced subgraph; polynomial time; possible maximal cliques; prime characterization; specific graph class; weakly triangulated graph; Algorithm design and analysis; Binary trees; Joining processes; Merging; NP-complete problem; Polynomials; Vegetation; 2-pair; NP-complete problem; height reduction technique; maximal cliques; weakly triangulated graph;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Information Conference (SAI), 2014
Conference_Location
London
Print_ISBN
978-0-9893-1933-1
Type
conf
DOI
10.1109/SAI.2014.6918185
Filename
6918185
Link To Document