On Removing Randomness from a Parallel Algorithm for Minimum Cuts

TitleOn Removing Randomness from a Parallel Algorithm for Minimum Cuts
Publication TypeTechnical Report
Year of Publication1993
AuthorsLuby, M., Naor J., & Naor M.
Other Numbers795
Abstract

The weighted minimum cut problem in a graph is a fundamental problem in combinatorial optimization. Recently, Karger suggested a randomized parallel algorithm for this problem. We show that a similar algorithm can be implemented using only O(log^2 n) random bits. We also show that our result holds for computing minimum weight k-cuts, where k is fixed.

URLhttp://www.icsi.berkeley.edu/ftp/global/pub/techreports/1993/tr-93-007.pdf
Bibliographic Notes

ICSI Technical Report TR-93-007

Abbreviated Authors

M. Luby, J. Naor, and M. Naor

ICSI Publication Type

Technical Report