Linear programming in the semi-streaming model with application to the maximum matching problem

43Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we study linear programming based approaches to the maximum matching problem in the semi-streaming model. The semi-streaming model has gained attention as a model for processing massive graphs as the importance of such graphs has increased. This is a model where edges are streamed-in in an adversarial order and we are allowed a space proportional to the number of vertices in a graph. In recent years, there has been several new results in this semi-streaming model. However broad techniques such as linear programming have not been adapted to this model. We present several techniques to adapt and optimize linear programming based approaches in the semi-streaming model with an application to the maximum matching problem. As a consequence, we improve (almost) all previous results on this problem, and also prove new results on interesting variants. © 2011 Springer-Verlag.

Cite

CITATION STYLE

APA

Ahn, K. J., & Guha, S. (2011). Linear programming in the semi-streaming model with application to the maximum matching problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6756 LNCS, pp. 526–538). https://doi.org/10.1007/978-3-642-22012-8_42

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