International Journal of Computational and Applied Mathematics
  • Year: 2009
  • Volume: 4
  • Issue: 1

Min Cut Contraction: Solving Edge Connectivity Problem using Graph Contraction

  • Author:
  • Ford Lumban Gaol, Belawati H. Widjaja
  • Total Page Count: 15
  • Page Number: 59 to 73

Faculty of Computer Science, University of Indonesia, Depok, Jawa Barat, Indonesia, 16424.

Abstract

This paper presents a new approach to finding edges connectivity in undirected graphs. The fundamental principle is simple: the edges in a graph's edge connectivity form an extremely small fraction of the graph's edges. Using this idea, we give a deterministic, strongly polynomial algorithm that finds the edge connectivity in an arbitrarily weighted undirected graph with high probability. The algorithm runs in O(n2log3n) time, but more simple to the previous a significant improvement over the previous O(mn) time bounds based on maximum flows. It is simple and intuitive and uses no complex data structures.

Keywords

Graph algorithm, edge connectivity, degree of graph, weighted/unweighted graph, maximum flow