PHYSICAL INTERPRETATION OF GRAPH CONNECTIVITY, AND ITS ALGORITHMIC APPLICATIONS.

N. Linial*, L. Lovasz, A. Wigderson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The authors propose a new point of view on graph connectivity that is based on geometric and physical intuition. The main theorem is a geometric characterization of k-vertex connected graphs. It says that a graph G is k-connected if and only if G has a certain 'nondegenerate convex embedding' in R**k- **1 . Probabilistic algorithms for computing the connectivity of a graph are given. The first is a Monte Carlo algorithm that runs in time O(n**2 **. **5 plus nk**2 **. **5 ), where n is the number of vertices and k is the vertex connectivity of the input graph. The second is a Las Vegas algorithm (i. e. , one that never errs) that runs in expected time O(kn**2 **. **5 plus nk**3 **. **5 ).

Original languageEnglish
Title of host publicationAnnual Symposium on Foundations of Computer Science (Proceedings)
PublisherIEEE
Pages39-48
Number of pages10
ISBN (Print)0818607408
StatePublished - 1986

Publication series

NameAnnual Symposium on Foundations of Computer Science (Proceedings)
ISSN (Print)0272-5428

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