Enumerating and Generating Labeled k-degenerate Graphs

Reinhard Bauer, M. Krug, D. Wagner
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引用次数: 15

Abstract

A k-degenerate graph is a graph in which every induced subgraph has a vertex with degree at most k. The class of k-degenerate graphs is interesting from a theoretical point of view and it plays an interesting role in the theory of fixed parameter tractability since some otherwise W[2]-hard domination problems become fixed-parameter tractable for k-degenerate graphs. It is a well-known fact that the k-degenerate graphs are exactly the graphs whose vertex-set can be well-ordered such that each vertex is incident to at most k larger vertices with respect to this ordering. A well-ordered k-degenerate graph is a labeled graph with vertex-labels 1, ..., n such that the ordering of the vertices by their labels is a well-ordering of the graph. We consider the problem of enumerating and generating well-ordered k-degenerate graphs with a given number of vertices and with a given number of vertices and edges, respectively, uniformly at random. By generating well-ordered k-degenerate graphs we generate at least one labeled copy of each unlabeled k-degenerate graph and we filter some but not all isomorphies compared to the classical labeled approach. We also introduce the class of strongly k-degenerate graphs, which are k-degenerate graphs with minimum degree k. These graphs are a natural generalization of k-regular graphs which can be used in order to generate graphs with predefined core-decomposition. We present efficient algorithms for generating well-ordered k-degenerate graphs with given number of vertices (and edges). After a precomputation which must only be performed once when generating more than one well-ordered k-degenerate graph these algorithms are almost optimal. Additionally, we present complete non-uniform generators for these classes with optimal running time. We also present an efficient and complete generator for well-ordered strongly k-degenerate graphs with given number of vertices (and edges). Finally, we present efficient algorithms for enumerating well-ordered k-degenerate and strongly k-degenerate graphs.
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枚举和生成标记k-退化图
k-退化图是一种图,其中每个诱导子图都有一个最多k度的顶点。从理论的角度来看,k-退化图是有趣的,它在固定参数可跟踪性理论中起着有趣的作用,因为一些W[2]-难的控制问题对于k-退化图来说是固定参数可跟踪的。众所周知的事实是,k-退化图正是顶点集可以有序的图,使得每个顶点相对于这个顺序最多关联k个更大的顶点。良序k-退化图是顶点标记为1,…的标记图。, n使得顶点按标签排序是图的良序。我们考虑了均匀随机地枚举和生成具有给定顶点数量和给定顶点和边数量的良序k-退化图的问题。通过生成良序k-退化图,我们生成了每个未标记k-退化图的至少一个标记副本,并且与经典标记方法相比,我们过滤了一些同构,但不是所有同构。我们还引入了一类强k-退化图,它们是最小度为k的k-退化图。这些图是k-正则图的自然推广,可用于生成具有预定义核心分解的图。我们提出了一种有效的算法,用于生成具有给定数量的顶点(和边)的良序k-退化图。当生成多个良序k-退化图时,只需进行一次预计算,这些算法几乎是最优的。此外,我们还为这些具有最佳运行时间的类提供了完整的非均匀生成器。我们还给出了具有给定顶点(和边)数量的良序强k-退化图的一个高效完备的生成器。最后,我们给出了列举良序k-简并图和强k-简并图的有效算法。
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