Title
On the bounded-hop MST problem on random Euclidean instances
Abstract
The d-Dimh-hops MST problem is defined as follows: given a set S of points in the d-dimensional Euclidean space and sεS, find a minimum-cost spanning tree for S rooted at s with height at most h. We investigate the problem for any constant h and d 0. We prove the first nontrivial lower bound on the solution cost for almost all Euclidean instances (i.e. the lower bound holds with high probability). Then we introduce an easy-to-implement, fast divide et impera heuristic and we prove that its solution cost matches the lower bound.
Year
DOI
Venue
2007
10.1016/j.tcs.2007.04.039
Theor. Comput. Sci.
Keywords
DocType
Volume
random Euclidean instance,bounded height minimum spanning tree,Bounded height minimum spanning tree,solution cost,high probability,Randomized algorithms,Approximation algorithms,d-dimensional Euclidean space,approximation algorithms,constant h,d-Dimh-hops MST problem,randomized algorithms,bounded-hop MST problem,Euclidean instance
Journal
384
Issue
ISSN
Citations 
2-3
Theoretical Computer Science
2
PageRank 
References 
Authors
0.38
17
6
Name
Order
Citations
PageRank
Andrea E. F. Clementi1116885.30
Miriam di Ianni214417.27
Massimo Lauria312214.73
Angelo Monti467146.93
Gianluca Rossi523521.60
Riccardo Silvestri6132490.84