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IMPROVED ANALYSIS OF A MAX-CUT ALGORITHM BASED ON SPECTRAL PARTITIONING.

Authors :
SOTO, JOSÉ A.
Source :
SIAM Journal on Discrete Mathematics. 2015, Vol. 29 Issue 1, p259-268. 10p.
Publication Year :
2015

Abstract

Trevisan [SIAM J. Comput., 41 (2012), pp. 1769-1786] presented an algorithm for Max-Cut based on spectral partitioning techniques. This is the first algorithm for Max-Cut with an approximation guarantee strictly larger than 1/2 that is not based on semidefinite programming. Trevisan showed that its approximation ratio is of at least 0.531. In this paper we improve this bound up to 0.614247. We also define and extend this result for the more general maximum colored cut problem. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08954801
Volume :
29
Issue :
1
Database :
Academic Search Index
Journal :
SIAM Journal on Discrete Mathematics
Publication Type :
Academic Journal
Accession number :
108644191
Full Text :
https://doi.org/10.1137/14099098X