Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

Improved Approximation Algorithms for the Spanning Star Forest Problem

Ning ChenContact Information, Roee EngelbergContact Information, C. Thach NguyenContact Information, Prasad RaghavendraContact Information, Atri RudraContact Information and Gyanit SinghContact Information

(5)  Department of Computer Science & Engineering, University of Washington, Seattle, USA
(6)  Department of Computer Science, Technion, Haifa, Israel
Abstract
A star graph is a tree of diameter at most two. A star forest is a graph that consists of node-disjoint star graphs. In the spanning star forest problem, given an unweighted graph G, the objective is to find a star forest that contains all the vertices of G and has the maximum number of edges. This problem is the complement of the dominating set problem in the following sense: On a graph with n vertices, the size of the maximum spanning star forest is equal to n minus the size of the minimum dominating set.
We present a 0.71-approximation algorithm for this problem, improving upon the approximation factor of 0.6 of Nguyen et al. [9]. We also present a 0.64-approximation algorithm for the problem on node-weighted graphs. Finally, we present improved hardness of approximation results for the weighted versions of the problem.

Contact Information Ning Chen
Email: ning@cs.washington.edu

Contact Information Roee Engelberg
Email: roee@cs.technion.ac.il

Contact Information C. Thach Nguyen
Email: ncthach@cs.washington.edu

Contact Information Prasad Raghavendra
Email: prasad@cs.washington.edu

Contact Information Atri Rudra
Email: atri@cs.washington.edu

Contact Information Gyanit Singh
Email: gyanit@cs.washington.edu
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this chapter
Export this chapter as RIS | Text
 
Remote Address: 38.107.191.111 • Server: mpweb15
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)