输出多项式时间内的非交叉哈密顿路径和循环

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Algorithmica Pub Date : 2024-07-18 DOI:10.1007/s00453-024-01255-y
David Eppstein
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引用次数: 0

摘要

我们证明,对于平面点集,非交叉哈密顿路径的数量与非交叉路径的数量同多项式有界,而非交叉哈密顿循环(多边形化)的数量与周围循环的数量同多项式有界。因此,我们可以通过过滤简单反向跟踪算法输出的非交叉路径或周围循环,分别列出非交叉哈密顿路径或多边形化,时间与输出大小成多项式关系。我们并不假设这些点处于一般位置。为了证明这些结果,我们将非交叉结构的数量与点集的两个易于计算的参数联系起来:移除后形成碰撞集的最小点数,以及凸壳内部的点数。通过这些关系,我们还可以得到所有四种类型结构的多项式时间近似计算法,其精确度可达到这些数字对数的一个常数因子。
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Non-crossing Hamiltonian Paths and Cycles in Output-Polynomial Time

We show that, for planar point sets, the number of non-crossing Hamiltonian paths is polynomially bounded in the number of non-crossing paths, and the number of non-crossing Hamiltonian cycles (polygonalizations) is polynomially bounded in the number of surrounding cycles. As a consequence, we can list the non-crossing Hamiltonian paths or the polygonalizations, in time polynomial in the output size, by filtering the output of simple backtracking algorithms for non-crossing paths or surrounding cycles respectively. We do not assume that the points are in general position. To prove these results we relate the numbers of non-crossing structures to two easily-computed parameters of the point set: the minimum number of points whose removal results in a collinear set, and the number of points interior to the convex hull. These relations also lead to polynomial-time approximation algorithms for the numbers of structures of all four types, accurate to within a constant factor of the logarithm of these numbers.

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来源期刊
Algorithmica
Algorithmica 工程技术-计算机:软件工程
CiteScore
2.80
自引率
9.10%
发文量
158
审稿时长
12 months
期刊介绍: Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential. Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming. In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.
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