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Generalised hypertree width ($ghw$) is a hypergraph parameter that is central to the tractability of many prominent problems with natural hypergraph structure. Computing $ghw$ of a hypergraph is notoriously hard. The decision version of the…

数据结构与算法 · 计算机科学 2024-01-09 Matthias Lanzinger , Igor Razgon

The recently introduced graph parameter tree-cut width plays a similar role with respect to immersions as the graph parameter treewidth plays with respect to minors. In this paper, we provide the first algorithmic applications of tree-cut…

数据结构与算法 · 计算机科学 2022-06-03 Robert Ganian , Eun Jung Kim , Stefan Szeider

We propose an algorithm whose input are parameters $k$ and $r$ and a hypergraph $H$ of rank at most $r$. The algorithm either returns a tree decomposition of $H$ of generalized hypertree width at most $4k$ or 'NO'. In the latter case, it is…

数据结构与算法 · 计算机科学 2023-05-16 Igor Razgon

Fixed parameter tractable (FPT) algorithms run in time f(p(x)) poly(|x|), where f is an arbitrary function of some parameter p of the input x and poly is some polynomial function. Treewidth, branchwidth, cliquewidth, NLC-width, rankwidth,…

组合数学 · 数学 2018-02-20 Jakub Marecek

The notion of $\mathcal{H}$-treewidth, where $\mathcal{H}$ is a hereditary graph class, was recently introduced as a generalization of the treewidth of an undirected graph. Roughly speaking, a graph of $\mathcal{H}$-treewidth at most $k$…

数据结构与算法 · 计算机科学 2023-06-30 Bart M. P. Jansen , Jari J. H. de Kroon , Michal Wlodarczyk

Branchwidth determines how graphs, and more generally, arbitrary connectivity (basically symmetric and submodular) functions could be decomposed into a tree-like structure by specific cuts. We develop a general framework for designing…

数据结构与算法 · 计算机科学 2021-11-08 Fedor V. Fomin , Tuukka Korhonen

We introduce tree-width for first order formulae \phi, fotw(\phi). We show that computing fotw is fixed-parameter tractable with parameter fotw. Moreover, we show that on classes of formulae of bounded fotw, model checking is fixed…

计算机科学中的逻辑 · 计算机科学 2019-03-14 Isolde Adler , Mark Weyer

Hypertree decompositions, as well as the more powerful generalized hypertree decompositions (GHDs), and the yet more general fractional hypertree decompositions (FHD) are hypergraph decomposition methods successfully used for answering…

数据库 · 计算机科学 2019-07-19 Wolfgang Fischl , Georg Gottlob , Reinhard Pichler

There are many classical problems in P whose time complexities have not been improved over the past decades. Recent studies of "Hardness in P" have revealed that, for several of such problems, the current fastest algorithm is the best…

数据结构与算法 · 计算机科学 2017-10-24 Yoichi Iwata , Tomoaki Ogasawara , Naoto Ohsaka

The tree-cut width of a graph is a graph parameter defined by Wollan [J. Comb. Theory, Ser. B, 110:47-66, 2015] with the help of tree-cut decompositions. In certain cases, tree-cut width appears to be more adequate than treewidth as an…

数据结构与算法 · 计算机科学 2018-05-16 Eunjung Kim , Sang-il Oum , Christophe Paul , Ignasi Sau , Dimitrios M. Thilikos

Treewidth is a useful tool in designing graph algorithms. Although many NP-hard graph problems can be solved in linear time when the input graphs have small treewidth, there are problems which remain hard on graphs of bounded treewidth. In…

数据结构与算法 · 计算机科学 2024-01-22 Huairui Chu , Bingkai Lin

Structural parameters of graphs, such as treewidth, play a central role in the study of the parameterized complexity of graph problems. Motivated by the study of parametrized algorithms on phylogenetic networks, scanwidth was introduced…

计算复杂性 · 计算机科学 2026-02-09 Jannik Schestag , Norbert Zeh

We study the parameterized complexity of the classical Edge Hamiltonian Path problem and give several fixed-parameter tractability results. First, we settle an open question of Demaine et al. by showing that Edge Hamiltonian Path is FPT…

数据结构与算法 · 计算机科学 2014-03-11 Michael Lampis , Kazuhisa Makino , Valia Mitsou , Yushi Uno

Hypertree decompositions (HDs), as well as the more powerful generalized hypertree decompositions (GHDs), and the yet more general fractional hypertree decompositions (FHDs) are hypergraph decomposition methods successfully used for…

计算复杂性 · 计算机科学 2021-11-22 Georg Gottlob , Matthias Lanzinger , Reinhard Pichler , Igor Razgon

We study the parameterized complexity of the graph isomorphism problem when parameterized by width parameters related to tree decompositions. We apply the following technique to obtain fixed-parameter tractability for such parameters. We…

离散数学 · 计算机科学 2014-03-31 Yota Otachi , Pascal Schweitzer

A resolving set $S$ of a graph $G$ is a subset of its vertices such that no two vertices of $G$ have the same distance vector to $S$. The Metric Dimension problem asks for a resolving set of minimum size, and in its decision form, a…

计算复杂性 · 计算机科学 2019-07-19 Édouard Bonnet , Nidhi Purohit

We give a fixed-parameter tractable (FPT) approximation algorithm computing the path-width of a tournament, and more generally, of a semi-complete digraph. Based on this result, we prove that topological containment and rooted immersion…

数据结构与算法 · 计算机科学 2012-08-03 Fedor V. Fomin , Michał Pilipczuk

In this paper we propose, implement, and test the first practical decomposition algorithms for the width parameters treecut width and treedepth. These two parameters have recently gained a lot of attention in the theoretical research…

数据结构与算法 · 计算机科学 2019-12-02 Robert Ganian , Neha Lodha , Sebastian Ordyniak , Stefan Szeider

Treewidth and hypertree width have proven to be highly successful structural parameters in the context of the Constraint Satisfaction Problem (CSP). When either of these parameters is bounded by a constant, then CSP becomes solvable in…

数据结构与算法 · 计算机科学 2022-10-14 Andre Schidler , Robert Ganian , Manuel Sorge , Stefan Szeider

Treewidth is a well-studied decompositional parameter to measure the tree-likeness of a graph. While the propositional satisfiability problem (SAT) is known to be tractable when parameterized by the treewidth of the underlying primal graph,…

数据结构与算法 · 计算机科学 2026-05-08 Robert Ganian , Marlene Gründel
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