2021年秋季

T. Brown
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引用次数: 0

摘要

1. [10分]假设你有一个有向图和一个起始点s,你想找到从s到其他顶点的路径。与其寻找最短路径(即最小化路径中所有边的权重之和),不如最小化路径中每条边的最大权重。我们称之为“最大边最短路径”。“例如,你正在考虑买一辆电动汽车,想知道什么样的电池电量足够满足你的需求。有向图的顶点是充电站,边的权值是充电站之间的距离。从起始点s到某个点v,你需要一条路线,使沿途任意两个连续充电站之间的最大距离最小,因为这对应于从s到v所需的电池电量,假设你在充电站给电池充电。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fall 2021
1. [10 marks] Suppose you have a directed graph and a start vertex s. You want to find paths from s to every other vertex. Rather than finding shortest paths (i.e., minimizing the sum of the weights of the edges in a path) you want to minimize the maximum weight of an edge in the path. We call these “max-edge shortest paths.” [For example, you are considering buying an electric car and wondering what battery power is good enough for your needs. The vertices of the directed graph are the charging stations, and the weight of an edge is the distance between the charging stations. To travel from your starting vertex s to some vertex v, you want a route that minimizes the maximum distance between any two consecutive charging stations along the route, since that corresponds to the battery strength you need in order to get from s to v, assuming you charge the battery at the charging stations.]
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