A parallel randomized approximation scheme for shortest paths

  • Authors:
  • Philip N. Klein;S. Sairam

  • Affiliations:
  • Brown University;Brown University

  • Venue:
  • STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
  • Year:
  • 1992

Quantified Score

Hi-index 0.00

Visualization

Abstract

We give a randomized parallel algorithm for approximate shortest path computation in an undirected weighted graph. The algorithm is based on a technique used by Ullman and Yannakakis in a parallel algorithm for breadth-first search. It has application, e.g., in approximate solution of multicommodity flow problems with unit capacities. We also show how to adapt the algorithm to perform better for planar graphs.