双环图的度量维度及其在供应链物流中的潜在应用

Muwen Wang, Ghulam Haidar, Faisal Yousafzai, Murad Ul Islam Khan, Waseem Sikandar, Asad Ul Islam Khan
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引用次数: 0

摘要

度量维度和度量基是一种图不变式,用于定位和索引图中的节点。最近有人指出,对于 III 型双环图($\Theta $-graphs),当所有路径的长度相等,或其中一条外路径的长度比其他两条路径的长度多 2 美元时,度量维度仅为 3 美元。在本文中,我们反驳了这一说法,并证明中间路径比另两条路径多 2 美元顶点的情况也有 3 美元的度量维度。我们还确定了其它$p,q,r$值的度量维度,这些值在最近的研究中由于$p \leq q \leq r$的约束而被省略了。我们还提出了一种基于图的技术,利用公制基础和公制维度将农业供应链物流问题转化为数学模型。我们提供了理论基础,可用于利用机器学习算法对这些问题进行建模和求解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metric dimensions of bicyclic graphs with potential applications in Supply Chain Logistics
Metric dimensions and metric basis are graph invariants studied for their use in locating and indexing nodes in a graph. It was recently established that for bicyclic graph of type-III ($\Theta $-graphs), the metric dimension is $3$ only, when all paths have equal lengths, or when one of the outside path has a length $2$ more than the other two paths. In this article, we refute this claim and show that the case where the middle path is $2$ vertices more than the other two paths, also has metric dimension $3$. We also determine the metric dimension for other values of $p,q,r$ which were omitted in the recent research due to the constraint $p \leq q \leq r$. We also propose a graph-based technique to transform an agricultural supply chain logistics problem into a mathematical model, by using metric basis and metric dimensions. We provide a theoretical groundwork which can be used to model and solve these problems using machine learning algorithms.
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