Title
Fast generation of random spanning trees and the effective resistance metric
Abstract
We present a new algorithm for generating a uniformly random spanning tree in an undirected graph. Our algorithm samples such a tree in expected O(m4/3+o(1)) time. This improves over the best previously known bound of min(Õ(m[EQUATION]n), O(nω)) - that follows from the work of Kelner and Mądry [FOCS'09] and of Colbourn et al. [J. Algorithms'96] - whenever the input graph is sufficiently sparse. At a high level, our result stems from carefully exploiting the interplay of random spanning trees, random walks, and the notion of effective resistance, as well as from devising a way to algorithmically relate these concepts to the combinatorial structure of the graph. This involves, in particular, establishing a new connection between the effective resistance metric and the cut structure of the underlying graph.
Year
DOI
Venue
2015
10.5555/2722129.2722263
SODA
DocType
Volume
ISBN
Journal
abs/1501.00267
978-1-61197-433-1
Citations 
PageRank 
References 
7
0.44
30
Authors
3
Name
Order
Citations
PageRank
Aleksander Mądry196145.38
Damian Straszak2527.08
Jakub Tarnawski3166.34