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Colorful Frontier-Based Search: Implicit Enumeration of Chordal and Interval Subgraphs

机译:基于多彩边疆的搜索:和弦和间隔子图的隐式枚举

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This paper considers enumeration of specific subgraphs of a given graph by using a data structure called a zero-suppressed binary decision diagram (ZDD). A ZDD can represent the set of solutions quite compactly Recent studies have demonstrated that a technique gener-ically called frontier-based search (FBS) is a powerful framework for using ZDDs to enumerate various yet rather simple types of subgraphs. We in this paper, propose colorful FBS, an enhancement of FBS, which enables us to enumerate more complex types of subgraphs than existing FBS techniques do. On the basis of colorful FBS, we design methods that construct ZDDs representing the sets of chordal and interval subgraphs from an input graph. Computer experiments show that the proposed methods run faster than reverse search based algorithms.
机译:本文通过使用称为零抑制二进制决策图(ZDD)的数据结构考虑给定图的特定子图的枚举。 ZDD可以非常紧凑地表示一组解决方案。最近的研究表明,通常称为基于边界的搜索(FBS)技术是使用ZDD枚举各种但非常简单的子图类型的强大框架。我们在本文中提出彩色FBS,这是FBS的增强功能,它使我们能够枚举比现有FBS技术更复杂的子图类型。在彩色FBS的基础上,我们设计了一些方法,这些方法构造ZDD来表示输入图中的弦和子图集。计算机实验表明,所提出的方法比基于反向搜索的算法运行得更快。

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