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arXiv 2510.00331cs.DS
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单侧局部交叉最小化

One-Sided Local Crossing Minimization

City St. George’s, University of London(伦敦大学城市圣乔治学院);Karlsruhe Institute of Technology (KIT)(卡尔斯鲁厄理工学院);Jagiellonian University(雅盖隆大学);Utrecht University(乌得勒支大学);TU Wien(维也纳工业大学);Nagoya University(名古屋大学);FernUniversität in Hagen(哈根远程大学);Technische Universität Graz(格拉茨工业大学);Universität Würzburg(维尔茨堡大学)

Panos Giannopoulos, Miriam Goetze, Grzegorz Gutowski, Maarten Löffler, Martin Nöllenburg, Yuto Okada, Jonathan Rollin, Birgit Vogtenhuber, Alexander Wolff

AI总结:

研究单侧局部交叉最小化问题,证明其NP难性,并提出改进的中位数启发式算法,具有3倍的近似比。

摘要:

研究单侧局部交叉最小化问题,证明其NP难性,并提出改进的中位数启发式算法,具有3倍的近似比。

英文摘要:

Drawing graphs with the minimum number of crossings is a classical problem that has been studied extensively. Many restricted versions of the problem have been considered. For example, bipartite graphs can be drawn such that the two sets in the bipartition of the vertex set are mapped to two parallel lines, and the edges are drawn as straight-line segments. In this setting, the number of crossings depends only on the ordering of the vertices on the two lines. Two natural variants of the problem have been studied. In the one-sided case, the order of the vertices on one of the two lines is given and fixed; in the two-sided case, no order is given. Both cases are important yet NP-hard subproblems in the so-called Sugiyama framework for drawing layered graphs with few crossings. For the one-sided case, Eades and Wormald [Algorithmica 1994] introduced a median heuristic and showed that it has an approximation ratio of 3. In recent years, researchers have focused on a local version of crossing minimization, where the aim is to minimize the maximum number of crossings per edge instead of the total number of crossings. Kobayashi, Okada, and Wolff [SoCG 2025] investigated the complexity of local crossing minimization parameterized by the natural parameter. They conjectured that one-sided local crossing minimization is NP-hard. In this work, we confirm their conjecture by showing that the problem is NP-hard even for forests of high-degree stars. In fact, more strongly, the reduction yields a tight lower bound, which excludes the existence of subexponential-time algorithms assuming the Exponential-Time Hypothesis. In contrast, we present a quadratic-time algorithm for the special case of forests of stars of maximum degree 2. Finally, we provide a median heuristic with a carefully designed tie-breaking scheme and prove that it has an approximation ratio of 3 in the local setting.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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