← 研踪 PaperTrailarXiv:2611.06209 · v1
Sublinear Approximations for Spanning Tree Congestion
首次提交 2026-11-04 17:24
版本更新 2026-11-04 17:24
雷达观测 2026-11-05 11:10
摘要
The spanning tree congestion of a connected graph \(G\) is the minimum, over all spanning trees \(T\) of \(G\), of the maximum number of edges of \(G\) crossing a cut induced by deleting an edge of \(T\). In the spanning tree congestion problem we are asked to compute a spanning tree with minimum congestion. We describe two sublinear-ratio approximation algorithms for the spanning tree congestion problem (STC): a simple $\Ot(n^{8/9})$-approximation, and a more involved $\Ot(n^{2/3})$-approximation, where the notation $\Ot$ hides factors polynomial in $\log n$.. Until now, no algorithm with sublinear ratio was known. We also prove that for any fixed $0<\varepsilon<1$, approximation of the spanning tree congestion within $2-\varepsilon$ is NP-hard. This improves the previous best known lower bound $6/5$.
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v1 · 2026-11-04 17:24 · 最新观测版本
Sublinear Approximations for Spanning Tree Congestion
The spanning tree congestion of a connected graph \(G\) is the minimum, over all spanning trees \(T\) of \(G\), of the maximum number of edges of \(G\) crossing a cut induced by deleting an edge of \(T\). In the spanning tree congestion problem we are asked to compute a spanning tree with minimum congestion. We describe two sublinear-ratio approximation algorithms for the spanning tree congestion problem (STC): a simple $\Ot(n^{8/9})$-approximation, and a more involved $\Ot(n^{2/3})$-approximation, where the notation $\Ot$ hides factors polynomial in $\log n$.. Until now, no algorithm with sublinear ratio was known. We also prove that for any fixed $0<\varepsilon<1$, approximation of the spanning tree congestion within $2-\varepsilon$ is NP-hard. This improves the previous best known lower bound $6/5$.
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