A new simple generalization of the Motzkin–Straus theorem for the maximum weight clique problem is formulated and directly proved. Within this framework a trust region heuristic is developed. In contrast to usual trust region methods, it regards not only the global optimum of a quadratic objective over a sphere, but also a set of other stationary points of the program. We formulate and prove a condition when a Motzkin–Straus optimum coincides with such a point. The developed method has complexity O( n 3 ) , where n is the number of vertices of the graph. It was implemented in a publicly available software package QUALEX-MS. Computational experiments indicate that the algorithm is exact on small graphs and very efficient on the DIMACS benchmark graphs and various random maximum weight clique problem instances.
%0 Journal Article
%1 Busygin2006New
%A Busygin, S
%D 2006
%J Discret. Appl. Math.
%K clique graph weight phd schemdesc
%N 15
%P 2080--2096
%R http://dx.doi.org/10.1016/j.dam.2005.04.010
%T A new trust region technique for the maximum weight clique problem
%U http://dx.doi.org/10.1016/j.dam.2005.04.010
%V 154
%X A new simple generalization of the Motzkin–Straus theorem for the maximum weight clique problem is formulated and directly proved. Within this framework a trust region heuristic is developed. In contrast to usual trust region methods, it regards not only the global optimum of a quadratic objective over a sphere, but also a set of other stationary points of the program. We formulate and prove a condition when a Motzkin–Straus optimum coincides with such a point. The developed method has complexity O( n 3 ) , where n is the number of vertices of the graph. It was implemented in a publicly available software package QUALEX-MS. Computational experiments indicate that the algorithm is exact on small graphs and very efficient on the DIMACS benchmark graphs and various random maximum weight clique problem instances.
@article{Busygin2006New,
abstract = {A new simple generalization of the Motzkin–Straus theorem for the maximum weight clique problem is formulated and directly proved. Within this framework a trust region heuristic is developed. In contrast to usual trust region methods, it regards not only the global optimum of a quadratic objective over a sphere, but also a set of other stationary points of the program. We formulate and prove a condition when a Motzkin–Straus optimum coincides with such a point. The developed method has complexity O( n 3 ) , where n is the number of vertices of the graph. It was implemented in a publicly available software package QUALEX-MS. Computational experiments indicate that the algorithm is exact on small graphs and very efficient on the DIMACS benchmark graphs and various random maximum weight clique problem instances.},
added-at = {2013-12-17T09:48:27.000+0100},
author = {Busygin, S},
biburl = {https://www.bibsonomy.org/bibtex/2a39f60fd322039ee0a8dd05936cb932d/jullybobble},
doi = {http://dx.doi.org/10.1016/j.dam.2005.04.010},
interhash = {c3de9b3c6b287106a82064c9ba18dff2},
intrahash = {a39f60fd322039ee0a8dd05936cb932d},
issn = {0166218X},
journal = {Discret. Appl. Math.},
keywords = {clique graph weight phd schemdesc},
month = oct,
number = 15,
pages = {2080--2096},
timestamp = {2014-07-27T15:43:19.000+0200},
title = {{A new trust region technique for the maximum weight clique problem}},
url = {http://dx.doi.org/10.1016/j.dam.2005.04.010},
volume = 154,
year = 2006
}