Constrained and Ordered Level Planarity Parameterized by the Number of Levels

Václav Blažej, Boris Klemz, Felix Klesen, Marie Diana Sieper, Alexander Wolff, Johannes Zink
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Abstract

The problem Level Planarity asks for a crossing-free drawing of a graph in the plane such that vertices are placed at prescribed y-coordinates (called levels) and such that every edge is realized as a y-monotone curve. In the variant Constrained Level Planarity (CLP), each level $y$ is equipped with a partial order $\prec_y$ on its vertices and in the desired drawing the left-to-right order of vertices on level $y$ has to be a linear extension of $\prec_y$. Ordered Level Planarity (OLP) corresponds to the special case of CLP where the given partial orders $\prec_y$ are total orders. Previous results by Br\"uckner and Rutter [SODA 2017] and Klemz and Rote [ACM Trans. Alg. 2019] state that both CLP and OLP are NP-hard even in severely restricted cases. In particular, they remain NP-hard even when restricted to instances whose width (the maximum number of vertices that may share a common level) is at most two. In this paper, we focus on the other dimension: we study the parameterized complexity of CLP and OLP with respect to the height (the number of levels). We show that OLP parameterized by the height is complete with respect to the complexity class XNLP, which was first studied by Elberfeld et al. [Algorithmica 2015] (under a different name) and recently made more prominent by Bodlaender et al. [FOCS 2021]. It contains all parameterized problems that can be solved nondeterministically in time $f(k) n^{O(1)}$ and space $f(k) \log n$ (where $f$ is a computable function, $n$ is the input size, and $k$ is the parameter). If a problem is XNLP-complete, it lies in XP, but is W[$t$]-hard for every $t$. In contrast to the fact that OLP parameterized by the height lies in XP, it turns out that CLP is NP-hard even when restricted to instances of height 4. We complement this result by showing that CLP can be solved in polynomial time for instances of height at most 3.
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以层级数为参数的受限和有序层级平面性
水平平面性问题要求在平面内绘制无交叉的图形,使顶点位于规定的 y 坐标(称为水平)上,并使每条边都是一条 y 单调曲线。在变量受限水平平面图(CLP)中,每个水平 $y$ 的顶点都有一个单独的阶 $\prec_y$,在所需的绘图中,水平 $y$ 上的顶点从左到右的阶必须是 $\prec_y$ 的线性扩展。有序层平面性(OLP)对应于CLP的特例,其中给定的部分阶$\prec_y$是总阶。Br\"uckner 和 Rutter [SODA 2017] 以及 Klemz 和 Rote [ACM Trans. Alg. 2019]之前的结果表明,即使在严格限制的情况下,CLP 和 OLP 都是 NP-hard。在本文中,我们将重点放在另一个维度上:我们研究 CLP 和 OLP 关于高度(层数)的参数化复杂性。我们证明,以高度为参数的 OLP 在复杂度类别 XNLP 方面是完整的,该类别由 Elberfeld 等人[Algorithmica 2015](以不同的名称)首次研究,最近由 Bodlaender 等人[FOCS 2021]变得更加突出。它包含所有可在时间 $f(k) n^{O(1)}$ 和空间 $f(k) \logn$(其中 $f$ 是可计算函数,$n$ 是输入大小,$k$ 是参数)内非确定求解的参数化问题。如果一个问题是 XNLP-complete,那么它位于 XP 中,但对于每个 $t$ 都是 W[$t$]-hard 的。与以高度为参数的 OLP 位于 XP 中这一事实相反,事实证明,即使只限于高度为 4 的实例,CLP 也是 NP-困难的。我们补充这一结果,证明对于高度最多为 3 的实例,CLP 可以在多项式时间内求解。
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