Multiway cut, pairwise realizable distributions, and descending thresholds

Ankit Sharma, J. Vondrák
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引用次数: 50

Abstract

We design new approximation algorithms for the Multiway Cut problem, improving the previously known factor of 1.32388 [Buchbinder et al., 2013]. We proceed in three steps. First, we analyze the rounding scheme of Buchbinder et al. [2013] and design a modification that improves the approximation to [EQUATION]. We also present a tight example showing that this is the best approximation one can achieve with the type of cuts considered by Buchbinder et al. [2013]: (1) partitioning by exponential clocks, and (2) single-coordinate cuts with equal thresholds. Then, we prove that this factor can be improved by introducing a new rounding scheme: (3) single-coordinate cuts with descending thresholds. By combining these three schemes, we design an algorithm that achieves a factor of [EQUATION]. This is the best approximation factor that we are able to verify by hand. Finally, we show that by combining these three rounding schemes with the scheme of independent thresholds from Karger et al. [2004], the approximation factor can be further improved to 1.2965. This approximation factor has been verified only by computer.
多路切割,成对可实现的分布和下降阈值
我们为多路切割问题设计了新的近似算法,改进了之前已知的1.32388因子[Buchbinder等人,2013]。我们分三步进行。首先,我们分析了Buchbinder等人[2013]的舍入方案,并设计了一种改进方法,提高了[方程]的近似值。我们还提出了一个紧密的例子,表明这是Buchbinder等人[2013]所考虑的切割类型所能实现的最佳近似:(1)通过指数时钟划分,(2)具有相等阈值的单坐标切割。然后,我们通过引入一种新的四舍五入方案来证明这一因素可以得到改善:(3)阈值递减的单坐标切割。将这三种方案结合起来,我们设计了一种算法,实现了一个因子[EQUATION]。这是我们可以手工验证的最好的近似因子。最后,我们表明,将这三种舍入方案与来自Karger等[2004]的独立阈值方案相结合,可以进一步将近似因子提高到1.2965。这个近似因子仅用计算机验证过。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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