随机收缩与精益分解

Marek Cygan, Pawel Komosa, D. Lokshtanov, Michal Pilipczuk, Marcin Pilipczuk, Saket Saurabh
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引用次数: 27

摘要

我们给出了一个算法,给定一个n顶点图G和一个参数k,在时间2O(k log k) n O(1)中找到G的树分解,它具有以下性质:——每个树分解的附着力大小最多k,每袋,树的分解是(我)牢不可破的G每1⩽我⩽k。这里,一组X⊆V (G) (a, b)牢不可破的G如果每个订单最多的分离(a, b) b G,我们有X | | \帽⩽a或b∩X | |⩽。结果树分解无疑最好的附着力大小范围和unbreakability担保。此外,在运行时间范围内的参数因子明显小于以前的类似结构。这些改进使我们能够在运行时间范围内提出最小平分、STEINER CUT和STEINER multiccut的参数化算法,并改进了参数化因子。主要的技术见解是将Thomas的精益分解概念以及随后的Bellenbaum和Diestel的构造算法适应于参数化设置。
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Randomized Contractions Meet Lean Decompositions
We show an algorithm that, given an n-vertex graph G and a parameter k, in time 2O(k log k) n O(1) finds a tree decomposition of G with the following properties: — every adhesion of the tree decomposition is of size at most k, and — every bag of the tree decomposition is (i,i)-unbreakable in G for every 1 ⩽ i ⩽ k. Here, a set X ⊆ V(G) is (a,b)-unbreakable in G if for every separation (A,B) of order at most b in G, we have |A \cap X| ⩽ a or |B ∩ X| ⩽ a. The resulting tree decomposition has arguably best possible adhesion size bounds and unbreakability guarantees. Furthermore, the parametric factor in the running time bound is significantly smaller than in previous similar constructions. These improvements allow us to present parameterized algorithms for MINIMUM BISECTION, STEINER CUT, and STEINER MULTICUT with improved parameteric factor in the running time bound. The main technical insight is to adapt the notion of lean decompositions of Thomas and the subsequent construction algorithm of Bellenbaum and Diestel to the parameterized setting.
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