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首页> 外文期刊>Discrete Applied Mathematics >Split decomposition and graph-labelled trees: Characterizations and fully dynamic algorithms for totally decomposable graphs (Conference Paper)
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Split decomposition and graph-labelled trees: Characterizations and fully dynamic algorithms for totally decomposable graphs (Conference Paper)

机译:拆分分解树和图标记树:完全可分解图的特征和全动态算法(会议论文)

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摘要

In this paper, we revisit the split decomposition of graphs and give new combinatorial and algorithmic results for the class of totally decomposable graphs, also known as the distance hereditary graphs, and for two non-trivial subclasses, namely the cographs and the 3-leaf power graphs. Precisely, we give structural and incremental characterizations, leading to optimal fully dynamic recognition algorithms for vertex and edge modifications, for each of these classes. These results rely on the new combinatorial framework of graph-labelled trees used to represent the split decomposition of general graphs (and also the modular decomposition). The point of the paper is to use bijections between the aforementioned graph classes and graph-labelled trees whose nodes are labelled by cliques and stars. We mention that this bijective viewpoint yields directly an intersection model for the class of distance hereditary graphs.
机译:在本文中,我们将重新讨论图的拆分分解,并为完全可分解图的类(也称为距离遗传图)以及两个非平凡的子类(即图和三叶)提供新的组合和算法结果功率图。精确地,我们给出了结构和增量特征,从而为每种类别的顶点和边缘修改提供了最佳的全动态识别算法。这些结果依赖于图标记树的新组合框架,该树用于表示常规图的分解分解(以及模块分解)。本文的重点是在上述图类和图标树之间使用双射,这些树的节点由团和星标。我们提到,这个双射观点直接产生了距离遗传图类的交集模型。

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