Title
Approximation algorithms for inner-node weighted minimum spanning trees.
Abstract
This paper addresses the Inner-node Weighted Minimum Spanning Tree Problem (IWMST), which asks for a spanning tree in a graph G = (V. E) (vertical bar V vertical bar = n. vertical bar E vertical bar = m) with the minimum total cost for its edges and non-leaf nodes. This problem is NP-Hard because it contains the connected dominating set problem (CDS) as a special case. Since CDS cannot be approximated with a factor of (1 E)H(A) (A is the maximum degree) unless NP subset of DT I M E/n(O(log log n)) vertical bar [10], we can only expect a poly-logarithmic approximation algorithm for the IWMST problem. To tackle this problem, we first present a general framework for developing poly-logarithmic approximation algorithms. Our framework aims to find a r. rk Inn-approximate Algorithm (k epsilon N and k >= 2) for the IWMST problem. Based on this framework, we further design two polynomial time approximation algorithms. The first one can find a k/k-1 In n-approximate solution in O(mn log n) time, while the second one can compute a 1.5 Inn-approximate solution in O(n(2) Delta(6)) time (Delta is the maximum degree in G). We have also studied the relationships between the IWMST problem and several other similar problems.
Year
DOI
Venue
2009
null
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
Keywords
Field
DocType
Approximation Algorithms,Inner-node Weighted Minimum Spanning Trees
Approximation algorithm,Discrete mathematics,Minimum degree spanning tree,Computer science,Spanning tree,Reverse-delete algorithm,Minimum spanning tree,Distributed computing
Journal
Volume
Issue
ISSN
24
3
0267-6192
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Chao Peng1235.22
Yasuo Tan215125.41
Naixue Xiong32413194.61
Laurence Tianruo Yang4101.71
Hong Zhu517923.67