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Simpler Linear-Time Modular Decomposition Via Recursive Factorizing Permutations

机译:通过递归分解置换简化线性时间模块化分解

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Modular decomposition is fundamental for many important problems in algorithmic graph theory including transitive orientation, the recognition of several classes of graphs, and certain combinatorial optimization problems. Accordingly, there has been a drive towards a practical, linear-time algorithm for the problem. This paper posits such an algorithm; we present a linear-time modular decomposition algorithm that proceeds in four straightforward steps. This is achieved by introducing the notion of factorizing permutations to an earlier recursive approach. The only data structure used is an ordered list of trees, and each of the four steps amounts to simple traversals of these trees. Previous algorithms were either exceedingly complicated or resorted to impractical data-structures.
机译:模块化分解是算法图论中许多重要问题(包括传递方向,几类图的识别以及某些组合优化问题)的基础。因此,已经有针对该问题的实用的线性时间算法的驱动。本文提出了一种这样的算法。我们提出了一个线性时间模块化分解算法,该算法以四个简单的步骤进行。这是通过在早期的递归方法中引入因式分解的概念来实现的。唯一使用的数据结构是树的有序列表,四个步骤中的每一个都相当于对这些树的简单遍历。以前的算法要么非常复杂,要么诉诸不切实际的数据结构。

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