Article ID Journal Published Year Pages File Type
434396 Theoretical Computer Science 2013 24 Pages PDF
Abstract

Parameterised approximation is a relatively new but growing field of interest. It merges two ways of dealing with NP-hard optimisation problems, namely polynomial approximation and exact parameterised (exponential-time) algorithms. We exemplify this idea by designing and analysing parameterised approximation algorithms for minimum vertex cover. More specifically, we provide a simple algorithm that works on any approximation ratio of the form , l=1,2,…, and has complexity that outperforms previously published algorithms based on sophisticated exact parameterised algorithms. In particular, for l=1 (factor-1.5 approximation) our algorithm runs in time O∗(1.0883k), where parameter , and τ is the size of a minimum vertex cover. Additionally, we present an improved polynomial-time approximation algorithm for graphs of average degree at most four and a limited number of vertices with degree less than two.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics