DNA Algorithm for Pancyclicity and Vertex Connectivity of Graph

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Finding the Pancyclicity and Vertex connectivity for a general graph is the problem in NP complete class. In this paper, a bio-computation way of solving these two problems has been proposed. DNA computation is more powerful because of its massive parallelism and high density storage capacity. Thereby, producing the VERTEXCONNECTIVITY, PANCYCLIC and GIRTH algorithm solvable in polynomial time. The method in tracing the k-cycle and k-cut vertex was also used for the computation.

Science

International Journal of Computing Algorithm, Vol 3(1), June 2014
ISSN(Print):2278-2397
Website: www.ijcoa.com
DNA Algorithm for Pancyclicity and Vertex
Connectivity of Graph
Antony Xavier, Andrew Arokiaraj
Department of Mathematics, Loyola College, Chennai
Email: andrewarokiaraj@gmail.com
Abstract
Finding the Pancyclicity and Vertex connectivity for a general graph is the problem in NP
complete class. In this paper, a bio-computation way of solving these two problems has been
proposed. DNA computation is more powerful because of its massive parallelism and high
density storage capacity. There by, producing the VERTEXCONNECTIVITY, PANCYCLIC
and GIRTH algorithm solvable in polynomial time. The method in tracing the k-cycle and k-
cut vertex was also used for the computation.

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DNA Algorithm for Pancyclicity and Vertex Connectivity of Graph

1. International Journal of Computing Algorithm, Vol 3(1), June 2014 ISSN(Print):2278-2397 Website: www.ijcoa.com DNA Algorithm for Pancyclicity and Vertex Connectivity of Graph Antony Xavier, Andrew Arokiaraj Department of Mathematics, Loyola College, Chennai Email: andrewarokiaraj@gmail.com Abstract Finding the Pancyclicity and Vertex connectivity for a general graph is the problem in NP complete class. In this paper, a bio-computation way of solving these two problems has been proposed. DNA computation is more powerful because of its massive parallelism and high density storage capacity. There by, producing the VERTEXCONNECTIVITY, PANCYCLIC and GIRTH algorithm solvable in polynomial time. The method in tracing the k-cycle and k- cut vertex was also used for the computation.

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