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Kruskal with embedded C-semirings to solve MST problems with partially-ordered costs
Information Processing Letters ( IF 0.5 ) Pub Date : 2021-02-19 , DOI: 10.1016/j.ipl.2021.106107
Stefano Bistarelli , Fabio Rossi , Francesco Santini

We define two algebra-based algorithms for solving the Minimum Spanning Tree problem with partially-ordered edges. The parametric structure we propose is a c-semiring, being able to represent different cost-metrics at the same time. We embed c-semirings into the Kruskal and Reverse-delete Kruskal algorithms (thus generalising them), and we suppose the edge costs to be partially ordered. C-semirings can represent multi-criteria MST problems, which are NP-hard to solve. Finally, we test one of the new algorithms to prove its applicability in practice, and we compare it with related work.



中文翻译:

Kruskal带有嵌入式C指示器,以部分订购的成本解决MST问题

我们定义了两种基于代数的算法,用于求解边缘部分排序的最小生成树问题。我们建议的参数结构是c表示,可以同时表示不同的成本指标。我们将C-半音嵌入到Kruskal反向删除Kruskal算法中(因此将它们概括化),并且我们假设边缘成本需要部分排序。C-semirings可以代表多标准MST问题,这是NP难以解决的。最后,我们测试一种新算法以证明其在实践中的适用性,并将其与相关工作进行比较。

更新日期:2021-02-23
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