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- W2952355260 abstract "We examine directed spanners through flow-based linear programming relaxations. We design an $O(n^{2/3})$-approximation algorithm for the directed $k$-spanner problem that works for all $kgeq 1$, which is the first sublinear approximation for arbitrary edge-lengths. Even in the more restricted setting of unit edge-lengths, our algorithm improves over the previous $O(n^{1-1/k})$ approximation of Bhattacharyya et al. when $kge 4$. For the special case of $k=3$ we design a different algorithm achieving an $O(sqrt{n})$-approximation, improving the previous $O(n^{2/3})$. Both of our algorithms easily extend to the fault-tolerant setting, which has recently attracted attention but not from an approximation viewpoint. We also prove a nearly matching integrality gap of $Omega(n^{frac13 - epsilon})$ for any constant $epsilon > 0$. A virtue of all our algorithms is that they are relatively simple. Technically, we introduce a new yet natural flow-based relaxation, and show how to approximately solve it even when its size is not polynomial. The main challenge is to design a rounding scheme that coordinates the choices of flow-paths between the many demand pairs while using few edges overall. We achieve this, roughly speaking, by randomization at the level of vertices." @default.
- W2952355260 created "2019-06-27" @default.
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- W2952355260 date "2010-11-16" @default.
- W2952355260 modified "2023-09-27" @default.
- W2952355260 title "Directed Spanners via Flow-Based Linear Programs" @default.
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