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Let $G$ be a finite undirected graph. A vertex {\em dominates} itself and all its neighbors in $G$. A vertex set $D$ is an {\em efficient dominating set} (\emph{e.d.}\ for short) of $G$ if every vertex of $G$ is dominated by exactly one…

Discrete Mathematics · Computer Science 2014-07-18 Andreas Brandstadt , Vassilis Giakoumakis

We study a family of generalizations of Edge Dominating Set on directed graphs called Directed $(p,q)$-Edge Dominating Set. In this problem an arc $(u,v)$ is said to dominate itself, as well as all arcs which are at distance at most $q$…

Computational Complexity · Computer Science 2023-06-22 Rémy Belmonte , Tesshu Hanaka , Ioannis Katsikarelis , Eun Jung Kim , Michael Lampis

We study the hardness of approximation of clause minimum and literal minimum representations of pure Horn functions in $n$ Boolean variables. We show that unless P=NP, it is not possible to approximate in polynomial time the minimum number…

Computational Complexity · Computer Science 2014-03-12 Endre Boros , Aritanan Gruber

Many hard graph problems, such as Hamiltonian Cycle, become FPT when parameterized by treewidth, a parameter that is bounded only on sparse graphs. When parameterized by the more general parameter clique-width, Hamiltonian Cycle becomes…

Data Structures and Algorithms · Computer Science 2014-11-24 Sigve Hortemo Sæther

Bl\"omer and Seifert showed that $\mathsf{SIVP}_2$ is NP-hard to approximate by giving a reduction from $\mathsf{CVP}_2$ to $\mathsf{SIVP}_2$ for constant approximation factors as long as the $\mathsf{CVP}$ instance has a certain property.…

Computational Complexity · Computer Science 2020-11-03 Divesh Aggarwal , Eldon Chung

We continue and extend previous work on the parameterized complexity analysis of the NP-hard Stable Roommates with Ties and Incomplete Lists problem, thereby strengthening earlier results both on the side of parameterized hardness as well…

Computational Complexity · Computer Science 2021-03-09 Robert Bredereck , Klaus Heeger , Dušan Knop , Rolf Niedermeier

We develop a complexity theory for approximate real computations. We first produce a theory for exact computations but with condition numbers. The input size depends on a condition number, which is not assumed known by the machine. The…

Computational Complexity · Computer Science 2020-05-05 Gregorio Malajovich , Mike Shub

What is the power of polynomial-time quantum computation with access to an NP oracle? In this work, we focus on two fundamental tasks from the study of Boolean satisfiability (SAT) problems: search-to-decision reductions, and approximate…

Quantum Physics · Physics 2024-09-02 Sevag Gharibian , Jonas Kamminga

We prove a strong inapproximability result for the Balanced Minimum Evolution Problem. Our proof also implies that the problem remains NP-hard even when restricted to metric instances. Furthermore, we give a MST-based 2-approximation…

Data Structures and Algorithms · Computer Science 2012-01-31 Samuel Fiorini , Gwenaël Joret

A set $S\subseteq V$ of a graph $G=(V,E)$ is a dominating set if each vertex has a neighbor in $S$ or belongs to $S$. Dominating Set is the problem of deciding, given a graph $G$ and an integer $k\geq 1$, if $G$ has a dominating set of size…

Combinatorics · Mathematics 2023-04-20 Valentin Bouquet , François Delbot , Christophe Picouleau , Stéphane Rovedakis

We show that the dominating set problem admits a constant factor approximation in a constant number of rounds in the LOCAL model of distributed computing on graph classes with bounded expansion. This generalizes a result of Czygrinow et al.…

Discrete Mathematics · Computer Science 2022-07-07 Ozan Heydt , Simeon Kublenz , Patrice Ossona de Mendez , Sebastian Siebertz , Alexandre Vigny

Clustering is an important task with applications in many fields of computer science. We study the fully dynamic setting in which we want to maintain good clusters efficiently when input points (from a metric space) can be inserted and…

Data Structures and Algorithms · Computer Science 2021-12-15 Hendrik Fichtenberger , Monika Henzinger , Andreas Wiese

We examine a parameterized complexity class for randomized computation where only the error bound and not the full runtime is allowed to depend more than polynomially on the parameter, based on a proposal by Kwisthout in [15,16]. We prove…

Computational Complexity · Computer Science 2018-11-06 Nils Donselaar

Given a graph $G=(V,E)$, the dominating set problem asks for a minimum subset of vertices $D\subseteq V$ such that every vertex $u\in V\setminus D$ is adjacent to at least one vertex $v\in D$. That is, the set $D$ satisfies the condition…

Computational Geometry · Computer Science 2019-11-26 Sandip Banerjee , Sujoy Bhore

We consider pairs of finitely presented, residually finite groups $P\hookrightarrow\G$ for which the induced map of profinite completions $\hat P\to \hat\G$ is an isomorphism. We prove that there is no algorithm that, given an arbitrary…

Group Theory · Mathematics 2008-10-03 Martin R. Bridson

A directed odd cycle transversal of a directed graph (digraph) $D$ is a vertex set $S$ that intersects every odd directed cycle of $D$. In the Directed Odd Cycle Transversal (DOCT) problem, the input consists of a digraph $D$ and an integer…

Data Structures and Algorithms · Computer Science 2017-04-17 Daniel Lokshtanov , M. S. Ramanujan , Saket Saurabh , Meirav Zehavi

Papadimitriou and Yannakakis show that the polynomial-time solvability of a certain singleobjective problem determines the class of multiobjective optimization problems that admit a polynomial-time computable $(1+\varepsilon, \dots ,…

Data Structures and Algorithms · Computer Science 2019-08-29 Arne Herzel , Cristina Bazgan , Stefan Ruzika , Clemens Thielen , Daniel Vanderpooten

Let G be a finite undirected graph. A vertex dominates itself and all its neighbors in G. A vertex set D is an efficient dominating set (e.d. for short) of G if every vertex of G is dominated by exactly one vertex of D. The Efficient…

Discrete Mathematics · Computer Science 2013-04-24 Andreas Brandstädt , Martin Milanic , Ragnar Nevries

We consider the approximability of center-based clustering problems where the points to be clustered lie in a metric space, and no candidate centers are specified. We call such problems "continuous", to distinguish from "discrete"…

Data Structures and Algorithms · Computer Science 2022-09-05 Deeparnab Chakrabarty , Maryam Negahbani , Ankita Sarkar

A matching $M$ in a graph $G$ is an \emph{acyclic matching} if the subgraph of $G$ induced by the endpoints of the edges of $M$ is a forest. Given a graph $G$ and a positive integer $\ell$, Acyclic Matching asks whether $G$ has an acyclic…

Data Structures and Algorithms · Computer Science 2023-07-12 Juhi Chaudhary , Meirav Zehavi