A dual-fitting 3/2-approximation algorithm for some minimum-cost graph problems

1Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In an ESA 2011 paper, Couëtoux [2] gives a beautiful 3/2-approximation algorithm for the problem of finding a minimum-cost set of edges such that each connected component has at least k vertices in it. The algorithm improved on previous 2-approximation algorithms for the problem. In this paper, we reanalyze Couëtoux's algorithm using dual-fitting and show how to generalize the algorithm to a broader class of graph problems previously considered in the literature. © 2012 Springer-Verlag.

Cite

CITATION STYLE

APA

Davis, J. M., & Williamson, D. P. (2012). A dual-fitting 3/2-approximation algorithm for some minimum-cost graph problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7501 LNCS, pp. 373–382). https://doi.org/10.1007/978-3-642-33090-2_33

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