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On the Number of Shortest Weighted Paths in a Triangular Grid

机译:在三角网格中最短加权路径的数量

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Counting the number of shortest paths in various graphs is an important and interesting combinatorial problem, especially in weighted graphs with various applications. We consider a specific infinite graph here, namely the honeycomb grid. Changing to its dual, the triangular grid, paths between triangle pixels (we abbreviate this term to trixels) are counted. The number of shortest weighted paths between any two trixels of the triangular grid is discussed. For each trixel, there are three different types of neighbor trixels, 1-, 2- and 3-neighbours, depending the Euclidean distance of their midpoints. When considering weighted distances, the positive values α , β and γ are assigned to the ‘steps’ to various neighbors. We gave formulae for the number of shortest weighted paths between any two trixels in various cases by the respective weight values. The results are nicely connected to various numbers well-known in combinatorics, e.g., to binomial coefficients and Fibonacci numbers.
机译:计算各种图表中最短路径的数量是一个重要而有趣的组合问题,尤其是具有各种应用的加权图。我们在此考虑特定的无限图,即蜂窝网格。将三角形网格改变为双向网格,三角形像素之间的路径(我们将该术语缩写为三轴)。讨论了三角形网格的任何两个三轴之间的最短加权路径的数量。对于每个Trixel,有三种不同类型的邻居三轴,1-,2-和3邻居,取决于其中点的欧几里德距离。当考虑加权距离时,将正值α,β和γ分配给各种邻居的“步骤”。我们通过各个权重值在各种情况下,给出了任何两个三轴之间的最短加权路径的交换机。结果很好地连接到组合物中众所周知的各种数字,例如,对二项式系数和斐波纳契数。

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