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Matrix method to search k-maximum internally stable sets of graphs

机译:搜寻k个最大内部稳定图形集的矩阵方法

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This paper uses a new matrix analysis tool, the semi-tensor product of matrices (STP), to investigate the problem of searching k-internally stable set (k-ISS) and k-maximum internally stable set (k-MISS) of graphs, which serve as mathematical models of analizing many concrete realworld problems such as the k-track assignment problem. By introducing a characteristic vector for vertex subsets of graphs and using the STP, several new sufficient and necessary conditions of the k-ISS and k-MISS are obtained, based on which an algorithm able to find out all k-ISSs and k-MISSs of graphs is established. The results are quite different from existing methods and provide a new angle and means to understand and analyze the structure of graphs. The correctness of the results is finally examined by several illustration examples.
机译:本文使用一种新的矩阵分析工具,即矩阵的半张量积(STP),来研究图的k个内部稳定集(k-ISS)和k个最大内部稳定集(k-MISS)的搜索问题,用作分析许多具体现实世界问题(例如k轨迹分配问题)的数学模型。通过为图的顶点子集引入特征向量并使用STP,获得了k-ISS和k-MISS的几个新的充要条件,在此基础上,能够找到所有k-ISS和k-MISS的算法图的数量已建立。结果与现有方法完全不同,并为理解和分析图的结构提供了新的角度和手段。最后通过几个示例来检验结果的正确性。

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