Almost Tight Additive Guarantees for $k$-Edge-Connectivity
Nikhil Kumar, Chaitanya Swamy

TL;DR
This paper presents nearly optimal polynomial-time algorithms for the k-edge connected spanning subgraph problem, improving solution quality and simplicity, with extensions to multigraphs and degree-bounded variants, achieving near-optimal guarantees.
Contribution
It introduces new algorithms with tight additive guarantees for kECSS, improving upon previous work, and extends these results to multigraphs and degree-bounded cases with additive violations.
Findings
Polytime algorithms for even/odd k with near-optimal guarantees.
Improved approximation ratios for kECSM with multigraphs.
First results for degree-bounded kECSS and kECSM with additive violations.
Abstract
We consider the \emph{-edge connected spanning subgraph} (kECSS) problem, where we are given an undirected graph with nonnegative edge costs , and we seek a minimum-cost \emph{-edge connected} subgraph of . For even , we present a polytime algorithm that computes a -edge connected subgraph of cost at most the optimal value of the natural LP-relaxation for kECSS; for odd , we obtain a -edge connected subgraph of cost at most . Since kECSS is APX-hard for all , our results are nearly optimal. They also significantly improve upon the recent work of Hershkowitz et al., both in terms of solution quality and the simplicity of algorithm and its analysis. Our techniques also yield an alternate guarantee, where we obtain a -edge connected subgraph of cost at most ; with unit edge costs,…
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Taxonomy
TopicsMobile Ad Hoc Networks · Optimization and Search Problems · Distributed Control Multi-Agent Systems
