Title
Improved approximation algorithms for low-density instances of the Minimum Entropy Set Cover Problem
Abstract
We study the approximability of instances of the minimum entropy set cover problem, parameterized by the average frequency of a random element in the covering sets. We analyze an algorithm combining a greedy approach with another one biased towards large sets. The algorithm is controlled by the percentage of elements to which we apply the biased approach. The optimal parameter choice leads to improved approximation guarantees when average element frequency is less than e.
Year
DOI
Venue
2012
10.1016/j.ipl.2014.02.006
Inf. Process. Lett.
Keywords
DocType
Volume
minimum entropy,improved approximation guarantee,minimum entropy set cover,average frequency,greedy approach,large set,low-density instance,optimal parameter choice,random element,improved approximation algorithm,average element frequency,set cover,approximation algorithms,entropy
Journal
114
Issue
ISSN
Citations 
7
0020-0190
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Cosmin Bonchiş1137.75
Gabriel Istrate29924.96