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# Algorithms for Colouring Random k-colourable Graphs

Subramanian, CR (2000) Algorithms for Colouring Random k-colourable Graphs. In: Combinatorics, Probability & Computing, 9 (1). pp. 45-77.

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Official URL: http://portal.acm.org/citation.cfm?id=971538

## Abstract

The k-colouring problem is to colour a given k-colourable graph with k colours. This problem is known to be NP-hard even for fixed k greater than or equal to 3. The best known polynomial time approximation algorithms require n(delta) (for a positive constant delta depending on k) colours to colour an arbitrary k-colourable n-vertex graph. The situation is entirely different if we look at the average performance of an algorithm rather than its worst-case performance. It is well known that a k-colourable graph drawn from certain classes of distributions can be ii-coloured almost surely in polynomial time. In this paper, we present further results in this direction. We consider k-colourable graphs drawn from the random model in which each allowed edge is chosen independently with probability p(n) after initially partitioning the vertex set into ii colour classes. We present polynomial time algorithms of two different types. The first type of algorithm always runs in polynomial time and succeeds almost surely. Algorithms of this type have been proposed before, but our algorithms have provably exponentially small failure probabilities. The second type of algorithm always succeeds and has polynomial running time on average. Such algorithms are more useful and more difficult to obtain than the first type of algorithms. Our algorithms work as long as p(n) greater than or equal to n(-1+is an element of) where is an element of is a constant greater than 1/4.

Item Type: Journal Article Combinatorics, Probability & Computing Cambridge University Press Copyright to this article belongs to Cambridge University Press. Division of Electrical Sciences > Computer Science & Automation 30 Sep 2010 10:04 30 Sep 2010 10:04 http://eprints.iisc.ac.in/id/eprint/32539 View Item