Publikationsansicht

Random Sampling in Residual Graphs (2008)

Abstract
ABSTRACT Consider an n-vertex, m-edge, undirected graph with maximumflow value v. We give a new ~O (m + nv)-time maximum flow algo-rithm based on finding augmenting paths in random samples of the edges of residual graphs. After assigning certain special samplingprobabilities to edges in ~O (m) time, our algorithm is very simple:repeatedly find an augmenting path in a random sample of edges from the residual graph.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.129.1723
Quelle http://people.csail.mit.edu/karger/Papers/resflow.ps
Mitarbeiter CiteSeerX
Archiv CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Typ text
Sprache Englisch