Bicriteria approximation for minimum dilation graph augmentation

Kevin Buchin, Maike Buchin, Joachim Gudmundsson, Sampson Wong
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Abstract

Spanner constructions focus on the initial design of the network. However, networks tend to improve over time. In this paper, we focus on the improvement step. Given a graph and a budget $k$, which $k$ edges do we add to the graph to minimise its dilation? Gudmundsson and Wong [TALG'22] provided the first positive result for this problem, but their approximation factor is linear in $k$. Our main result is a $(2 \sqrt[r]{2} \ k^{1/r},2r)$-bicriteria approximation that runs in $O(n^3 \log n)$ time, for all $r \geq 1$. In other words, if $t^*$ is the minimum dilation after adding any $k$ edges to a graph, then our algorithm adds $O(k^{1+1/r})$ edges to the graph to obtain a dilation of $2rt^*$. Moreover, our analysis of the algorithm is tight under the Erd\H{o}s girth conjecture.
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最小扩张图扩展的双标准近似法
扳手构造侧重于网络的初始设计。然而,网络往往会随着时间的推移而不断改进。在本文中,我们将重点放在改进步骤上。给定一个图和 $k$ 预算,我们要在图中添加哪些 $k$ 边来最小化图的扩张?Gudmundsson 和 Wong [TALG'22]为这个问题提供了第一个正结果,但他们的近似系数与 $k$ 成线性关系。我们的主要结果是一个 $(2 \sqrt[r]{2} \ k^{1/r},2r)$ 双标准近似,对于所有 $r \geq 1$,运行时间为 $O(n^3 \log n)$。换句话说,如果$t^*$是在图中添加任意$k$边后的最小扩张,那么我们的算法在图中添加$O(k^{1+1/r})$边,就能得到$2rt^*$的扩张。此外,我们对算法的分析在 Erd\H{o}sgirth 猜想下是严密的。
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