Approximation Algorithms and Hardness of the k-Route Cut Problem
Julia Chuzhoy, Yury Makarychev, Aravindan Vijayaraghavan, Yuan Zhou

TL;DR
This paper develops approximation algorithms for the k-route cut problem, providing the first non-trivial algorithms for k>3 and establishing hardness results, thereby advancing understanding of network connectivity cut problems.
Contribution
The paper introduces the first poly-logarithmic approximation algorithms for the k-route cut problem for k>3 and proves hardness results, significantly improving prior work.
Findings
O(k log^{3/2}r)-approximation for EC-kRC with uniform weights
Polylogarithmic bi-criteria approximations for EC-kRC and NC-kRC
Hardness of approximation for NC-kRC within a factor of k^{eps}
Abstract
We study the k-route cut problem: given an undirected edge-weighted graph G=(V,E), a collection {(s_1,t_1),(s_2,t_2),...,(s_r,t_r)} of source-sink pairs, and an integer connectivity requirement k, the goal is to find a minimum-weight subset E' of edges to remove, such that the connectivity of every pair (s_i, t_i) falls below k. Specifically, in the edge-connectivity version, EC-kRC, the requirement is that there are at most (k-1) edge-disjoint paths connecting s_i to t_i in G \ E', while in the vertex-connectivity version, NC-kRC, the same requirement is for vertex-disjoint paths. Prior to our work, poly-logarithmic approximation algorithms have been known for the special case where k >= 3, but no non-trivial approximation algorithms were known for any value k>3, except in the single-source setting. We show an O(k log^{3/2}r)-approximation algorithm for EC-kRC with uniform edge…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Optimization and Search Problems · Cryptography and Data Security
