论文标题
规范的有向树分解及其在定向的不相交路径问题上的应用
The canonical directed tree decomposition and its applications to the directed disjoint paths problem
论文作者
论文摘要
罗伯逊(Robertson)和西摩(Seymour)在其开创性图序列中给出的规范树分解定理原来是结构和算法图理论中最重要的工具之一。在本文中,我们为Digraphs提供了规范的树分解定理。更确切地说,我们在多项式时间内构建了digraphs的定向树分解,以区分其所有订单$ k $的缠结$ k $。作为该规范树分解定理的应用,我们为有向的不相交路径问题提供以下结果: 对于每个固定的$ k $,都有一个多项式时算法,该算法在输入$ g $以及源和终端顶点$(s_1,t_1),\ dots,(s_k,t_k)$,上 1。确定没有将每个源$ s_i $连接到其终端$ t_i $或 2.找到一个半积分解决方案,即输出路径$ p_1,\ dots,p_k $,使得$ p_i $ links $ s_i $ to $ t_i $,以便在最多两个路径上包含图的每个顶点。 给定有针对性的不相交路径问题的已知硬度结果,我们的结果无法改善一般的挖掘物,既不是固定参数的障碍性,也不能完全无法完全顶点 - 偶有指示路径。据我们所知,这是第一次获得$ k $ -dischoint路径问题的通用挖掘问题。我们期望我们的规范树分解的更多应用,以实现定向结果。
The canonical tree-decomposition theorem, given by Robertson and Seymour in their seminal graph minors series, turns out to be one of the most important tool in structural and algorithmic graph theory. In this paper, we provide the canonical tree decomposition theorem for digraphs. More precisely, we construct directed tree-decompositions of digraphs that distinguish all their tangles of order $k$, for any fixed integer $k$, in polynomial time. As an application of this canonical tree-decomposition theorem, we provide the following result for the directed disjoint paths problem: For every fixed $k$ there is a polynomial-time algorithm which, on input $G$, and source and terminal vertices $(s_1, t_1), \dots, (s_k, t_k)$, either 1. determines that there is no set of pairwise vertex-disjoint paths connecting each source $s_i$ to its terminal $t_i$, or 2.finds a half-integral solution, i.e., outputs paths $P_1, \dots, P_k$ such that $P_i$ links $s_i$ to $t_i$, so that every vertex of the graph is contained in at most two paths. Given known hardness results for the directed disjoint paths problem, our result cannot be improved for general digraphs, neither to fixed-parameter tractability nor to fully vertex-disjoint directed paths. As far as we are aware, this is the first time to obtain a tractable result for the $k$-disjoint paths problem for general digraphs. We expect more applications of our canonical tree-decomposition for directed results.