Abstract
In minimum power network design problems we are given an undirected graph \(G=(V,E)\) with edge costs \(\{c_e:e \in E\}\). The goal is to find an edge set \(F \subseteq E\) that satisfies a prescribed property of minimum power \(p_c(F)=\sum _{v \in V} \max \{c_e: e \in F \text{ is } \text{ incident } \text{ to } v\}\). In the Min-Power k Edge Disjoint st -Paths problem F should contain k edge disjoint st-paths. The problem admits a k-approximation algorithm, and it was an open question whether it admits an approximation ratio sublinear in k even for unit costs. We give a \(4\sqrt{2k}\)-approximation algorithm for general costs.
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Notes
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To see this, assume w.l.o.g. that \(|B| \ge |A|\) and note that \(j=|A \, \backslash B| \ge 1\). Then \(|A \cap B|^2+|A \cup B|^2= (|A|-j)^2+(|B|+j)^2= |A|^2+|B|^2+2j(|B|-|A|+j) >|A|^2+|B|^2\).
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Nutov, Z. (2023). An \(O(\sqrt{k})\)-Approximation Algorithm for Minimum Power k Edge Disjoint st-Paths. In: Della Vedova, G., Dundua, B., Lempp, S., Manea, F. (eds) Unity of Logic and Computation. CiE 2023. Lecture Notes in Computer Science, vol 13967. Springer, Cham. https://doi.org/10.1007/978-3-031-36978-0_23
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