Approximation Algorithms for the Bipartite Multi-cut Problem

Sreyash Kenkre; Sundar Vishwanathan

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arXiv · cs/0609031

Approximation Algorithms for the Bipartite Multi-cut Problem

Sreyash Kenkre·Sundar Vishwanathan

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Abstract

We introduce the {\it Bipartite Multi-cut} problem. This is a generalization of the {\it st-Min-cut} problem, is similar to the {\it Multi-cut} problem (except for more stringent requirements) and also turns out to be an immediate generalization of the {\it Min UnCut} problem. We prove that this problem is {\bf NP}-hard and then present LP and SDP based approximation algorithms. While the LP algorithm is based on the Garg-Vazirani-Yannakakis algorithm for {\it Multi-cut}, the SDP algorithm uses the {\it Structure Theorem} of $\ell_2^2$ Metrics.

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BibTeX RIS

Sreyash Kenkre, Sundar Vishwanathan. 2006-09-26. Approximation Algorithms for the Bipartite Multi-cut Problem. https://arxiv.org/abs/cs/0609031

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