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SODA
2016
ACM

Constant Factor Approximation for Subset Feedback Set Problems via a new LP relaxation

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Constant Factor Approximation for Subset Feedback Set Problems via a new LP relaxation
We consider subset feedback edge and vertex set problems in undirected graphs. The input to these problems is an undirected graph G = (V, E) and a set S = {s1, s2, . . . , sk} ⊂ V of k terminals. A cycle in G is interesting if it contains a terminal. In the Subset Feedback Edge Set problem (SubsetFES) the input graph is edge-weighted and the goal is to remove a minimum weight set of edges such that no interesting cycle remains. In the Subset Feedback Vertex Set problem (Subset-FVS) the input graph is node-weighted and the goal is to remove a minimum weight set of nodes such that no interesting cycle remains. A 2-approximation is known for Subset-FES [12] and a 8approximation is known for Subset-FVS [13]. The algorithm and analysis for Subset-FVS is complicated. One reason for the difficulty in addressing feedback set problems in undirected graphs has been the lack of LP relaxations with constant factor integrality gaps; the natural LP has an integrality gap of Θ(log n). In this pap...
Chandra Chekuri, Vivek Madan
Added 09 Apr 2016
Updated 09 Apr 2016
Type Journal
Year 2016
Where SODA
Authors Chandra Chekuri, Vivek Madan
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