An efficient parallel strategy for the two-fixed-endpoint Hamiltonian path problem on distance-hereditary graphs

  • Authors:
  • Sun-Yuan Hsieh

  • Affiliations:
  • Department of Computer Science and Information Engineering, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan

  • Venue:
  • Journal of Parallel and Distributed Computing
  • Year:
  • 2004

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Abstract

In this paper, we solve the two-fixed-endpoint Hamiltonian path problem on distance-hereditary graphs efficiently in parallel. Let Td(|V|,|E|) and Pd(|V|,|E|) denote the parallel time and processor complexities, respectively, required to construct a decomposition tree of a distance-hereditary graph G = (V, E) on a PRAM model Md. We show that this problem can be solved in O(Td(|V|, |E|) + log|V|) time using O(Pd(|V|,|E|)+(|V|+|E|)/log|V|) processors on Md. Moreover, if G is represented by its decomposition tree form, the problem can be solved optimally in O(log|V|) time using O((|V|+|E|)/log|V|) processors on an EREW PRAM. We also obtain a linear-time algorithm which is faster than the previous known O(|V|3) sequential algorithm.