Efficient approximation algorithms for semidefinite programs arising from MAX CUT and coloring

39Citations
Citations of this article
33Readers
Mendeley users who have this article in their library.

Abstract

The best known approximation algorithm for graph MAX CUT, due to Goemans and Williamson, first finds the optimal solution a semidefinite program and then derives a graph cut from that solution. Building on this result, Karger, Motwani, and Sudan gave an approximation algorithm for graph coloring that also involves solving a semidefinite program. Solving these semidefinite programs using known methods (ellipsoid, interiorpoint), though polynomial-time, is quite expensive. We show how they can be approximately solved in Õ(nm) time for graphs with n nodes and m edges.

Cite

CITATION STYLE

APA

Klein, P., & Lu, H. I. (1996). Efficient approximation algorithms for semidefinite programs arising from MAX CUT and coloring. In Proceedings of the Annual ACM Symposium on Theory of Computing (Vol. Part F129452, pp. 338–347). Association for Computing Machinery. https://doi.org/10.1145/237814.237980

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free