• 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