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A novel formulation of the max-cut problem and related algorithm.

Authors :
Yang, Qingzhi
Li, Yiyong
Huang, Pengfei
Source :
Applied Mathematics & Computation. Apr2020, Vol. 371, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

In this paper, a new formulation of the max-cut problem is proposed. Several semidefinite programming(SDP) relaxations of the max-cut problem are given and some relationships between them are put forward. Based on a new SDP relaxation, an algorithm is presented for finding a better approximate solution of the max-cut problem and we show the advantages of our model and algorithm with several examples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00963003
Volume :
371
Database :
Academic Search Index
Journal :
Applied Mathematics & Computation
Publication Type :
Academic Journal
Accession number :
140984268
Full Text :
https://doi.org/10.1016/j.amc.2019.124970