Geometric Approach to Optimal Path Problem with Uncertain Arc Lengths

A. Hasan-Zadeh
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Abstract

In this paper, the problem of finding the shortest paths, one of the most important problems in science and technology has been geometrically studied. Shortest path algorithm has been generalized to the shortest cycles in each homotopy class on a surface with arbitrary topology, using the universal covering space notion in the algebraic topology. Then, a general algorithm has been presented to compute the shortest cycles (geometrically rather than combinatorial) in each homotopy class. The algorithm can handle surface meshes with the desired topology, with or without boundary. It also provides a fundamental framework for other algorithms based on universal coverage space due to the capacity and flexibility of the framework.
不确定弧长最优路径问题的几何方法
本文从几何角度研究了最短路径问题,这是科学技术中最重要的问题之一。利用代数拓扑中的普适覆盖空间概念,将最短路径算法推广到任意拓扑曲面上各同伦类的最短环。然后,给出了计算每个同伦类中最短周期(几何而不是组合)的一般算法。该算法可以处理具有理想拓扑结构的曲面网格,无论是否有边界。由于该框架的容量和灵活性,它也为其他基于普遍覆盖空间的算法提供了一个基本框架。
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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