Finding Longest (s, t)-paths of O-shaped Supergrid Graphs in Linear Time

Ruo-Wei Hung, Fatemeh Keshavarz-Kohjerdi, Yuh-Min Tseng, Guo-Hao Qiu
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引用次数: 1

Abstract

The longest path and Hamiltonian problems were known to be NP-complete. In spite of many applications of these problems, their complexities are still unknown for many classes of graphs, including supergrid graphs with holes and solid supergrid graphs. In this paper, we will study the complexity of the longest (s, t)-path problem on O-shaped supergrid graphs. The longest (s, t)-path is a simple path from s to t with the largest number of visited vertices. An O-shaped supergrid graph is a rectangular supergrid graph with one rectangular hollow. We will propose a linear-time algorithm to find the longest (s, t)-path of O-shaped supergrid graphs. The longest (s, t)-paths of O-shaped supergrid graphs can be used to compute the smallest stitching path of computerized embroidery machine and 3D printer when a hollow object is printed.
在线性时间内求o型超网格图的最长(s, t)路径
已知最长路径和哈密顿问题是np完全的。尽管这些问题有许多应用,但对于许多类型的图,包括带孔的超网格图和实体超网格图,它们的复杂性仍然未知。本文研究了o型超网格图上最长(s, t)路径问题的复杂性。最长(s, t)路径是从s到t的简单路径,访问的顶点数量最多。o型超网格图是带有一个矩形空心的矩形超网格图。我们将提出一种线性时间算法来寻找o型超网格图的最长(s, t)路径。o型超网格图的最长(s, t)路径可用于计算计算机绣花机和3D打印机打印空心物体时的最小拼接路径。
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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