Fast deterministic algorithms for computing all eccentricities in (hyperbolic) Helly graphs

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Feodor F. Dragan , Guillaume Ducoffe , Heather M. Guarnera
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引用次数: 0

Abstract

A graph is Helly if every family of pairwise intersecting balls has a nonempty common intersection. The class of Helly graphs is the discrete analogue of the class of hyperconvex metric spaces. We study diameter, radius and all eccentricity computations within the Helly graphs. Under plausible complexity assumptions, neither the diameter nor the radius can be computed in truly subquadratic time on general graphs. In contrast to these negative results, it was recently shown that the radius and the diameter of an n-vertex m-edge Helly graph can be computed with high probability in O˜(mn) time (i.e., subquadratic in n+m). In this paper, we improve that result by presenting a deterministic O(mn)-time algorithm which computes not only the radius and the diameter but also all vertex eccentricities in a Helly graph. Furthermore, we give a parameterized linear-time algorithm for this problem on Helly graphs, with the parameter being the Gromov hyperbolicity.
计算(双曲)Helly图中所有偏心率的快速确定性算法
如果每一组成对相交的球都有一个非空的公交点,那么这个图就是Helly。Helly图类是超凸度量空间类的离散模拟。我们研究直径,半径和所有的偏心计算在Helly图。在似是而非的复杂性假设下,一般图的直径和半径都不能在真正的次二次时间内计算出来。与这些负面结果相反,最近的研究表明,n顶点m边Helly图的半径和直径可以在O ~ (mn)时间内以高概率计算(即n+m的次二次)。在本文中,我们改进了这一结果,提出了一种确定性的O(mn)时间算法,该算法不仅计算半径和直径,而且计算Helly图中所有顶点的偏心率。进一步,我们给出了Helly图上该问题的参数化线性时间算法,参数为Gromov双曲度。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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