A $4/3$-Approximation Algorithm for the Minimum $2$-Edge Connected Multisubgraph Problem in the Half-Integral Case
August 07, 2020 Β· Declared Dead Β· π International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
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Authors
S. Boyd, J. Cheriyan, R. Cummings, L. Grout, S. Ibrahimpur, Z. Szigeti, L. Wang
arXiv ID
2008.03327
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.CO
Citations
5
Venue
International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
Last Checked
4 months ago
Abstract
Given a connected undirected graph $\bar{G}$ on $n$ vertices, and non-negative edge costs $c$, the 2ECM problem is that of finding a $2$-edge~connected spanning multisubgraph of $\bar{G}$ of minimum cost. The natural linear program (LP) for 2ECM, which coincides with the subtour LP for the Traveling Salesman Problem on the metric closure of $\bar{G}$, gives a lower bound on the optimal cost. For instances where this LP is optimized by a half-integral solution $x$, Carr and Ravi (1998) showed that the integrality gap is at most $\frac43$: they show that the vector $\frac43 x$ dominates a convex combination of incidence vectors of $2$-edge connected spanning multisubgraphs of $\bar{G}$. We present a simpler proof of the result due to Carr and Ravi by applying an extension of LovΓ‘sz's splitting-off theorem. Our proof naturally leads to a $\frac43$-approximation algorithm for half-integral instances. Given a half-integral solution $x$ to the LP for 2ECM, we give an $O(n^2)$-time algorithm to obtain a $2$-edge connected spanning multisubgraph of $\bar{G}$ whose cost is at most $\frac43 c^T x$.
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