Title
Random-tree diameter and the diameter-constrained MST
Abbreviated Journal Title
Int. J. Comput. Math.
Keywords
tree diameter; greedy algorithm; constrained minimum spanning tree; Mathematics, Applied
Abstract
A minimum spanning tree (MST) with a small diameter is required in numerous practical situations such as when distributed mutual-exclusion algorithms are used, or when information retrieval algorithms need to compromise between fast access and small storage. The Diameter-Constrained MST (DCMST) problem can be stated as follows: given an undirected, edge-weighted graph, G, with it nodes and a positive integer, k, find a spanning tree with the smallest weight among all spanning trees of G which contain no path with more than k edges. This problem is known to be NP-complete, for all values of k; 4 less than or equal to k less than or equal to (n-2). In this paper, we investigate the behavior of the diameter of an MST in randomly generated graphs. Then, we present heuristics that produce approximate solutions for the DCMST problem in polynomial time. We discuss convergence, relative merits, and implementation of these heuristics. Our extensive empirical study shows that the heuristics produce good solutions for a wide variety of inputs.
Journal Title
International Journal of Computer Mathematics
Volume
79
Issue/Number
6
Publication Date
1-1-2002
Document Type
Article
Language
English
First Page
651
Last Page
663
WOS Identifier
ISSN
0020-7160
Recommended Citation
"Random-tree diameter and the diameter-constrained MST" (2002). Faculty Bibliography 2000s. 3025.
https://stars.library.ucf.edu/facultybib2000/3025
Comments
Authors: contact us about adding a copy of your work at STARS@ucf.edu