DocumentCode
1851054
Title
Clique-Detection Algorithm Using Clique-Self-Assembly
Author
Rama, R. ; Badarla, Suresh ; Krithivasan, Kamala
Author_Institution
Dept. of Math., IIT Madras, Chennai, India
fYear
2011
fDate
27-29 Sept. 2011
Firstpage
225
Lastpage
230
Abstract
Self-assembly is a process in which simple objects autonomously combine themselves into larger objects. It is considered as a promising technique in nano-technology. Two simple graphs G1 and G2 with a clique of same size overlap and a new self-assembled graph is formed. Besides studying the properties of self assembled graphs on cliques, we answer the question: Can a given set of graphs be generated through the self-assembly of cliques? If so, how to find the generator that could generate the given set of graphs by the process of clique-self-assembly. The question of the existence of minimal generator is also discussed. The necessary and sufficient condition for a graph H to be obtained by the iterated clique-self-assembly of the graph G is also answered. We also conclude that the problem of finding the generator is decidable. We note the importance of our work with respect to several closely related clique finding problem.
Keywords
graph theory; iterative methods; self-assembly; clique detection algorithm; iterated clique-selfassembly; nanotechnology; selfassembled graph; Assembly; Biological system modeling; Computational modeling; Finite element methods; Generators; Nanobioscience; Self-assembly; clique-Self-assembly; cliques; k-trees;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2011 Sixth International Conference on
Conference_Location
Penang
Print_ISBN
978-1-4577-1092-6
Type
conf
DOI
10.1109/BIC-TA.2011.32
Filename
6046903
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