正方形网格中加权最短路径的个数

Laith Alzboon, Bashar Khassawneh, B. Nagy
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引用次数: 3

摘要

本文用加权距离法讨论了正方形网格两点间的最短路径数。我们使用8邻接正方形网格,即加权距离取决于水平、垂直和对角线步骤的数量和权重。两种类型的邻域,因此使用了两个权重。作为特例,曼哈顿距离和棋盘距离这两种众所周知且被广泛应用于二维数字空间的数字距离出现了。尽管我们的组合结果是理论上的,但它与应用密切相关,例如在通信网络中。最短路径的数量在通过网络传输消息的应用中起着重要的作用,因为它们在某种程度上指的是给定点之间连接通道的宽度。
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On the number of weighted shortest paths in the square grid
In this paper the number of shortest paths between two points of the square grid using weighted distances is discussed. We use 8-adjacency square grid, that is, the weighted distance depends on the numbers and the weights of the horizontal, vertical and diagonal steps. Two types of neighborhood, and consequently two weights are used. As special cases, the Manhattan distance and chessboard distance, the two well-known and widely used digital distances of the two dimensional digital space occur. Despite our combinatorial result is theoretical, it is closely connected to applications, e.g., in communication networks. The number of shortest paths plays importance in applications of transmitting messages over networks, since they refer somehow to the width of the connection channel between the given points.
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