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The input to the NP-hard Point Line Cover problem (PLC) consists of a set $P$ of $n$ points on the plane and a positive integer $k$, and the question is whether there exists a set of at most $k$ lines which pass through all points in $P$. A…

Data Structures and Algorithms · Computer Science 2013-07-10 Stefan Kratsch , Geevarghese Philip , Saurabh Ray

A total dominating set of a graph $G=(V,E)$ is a subset $D \subseteq V$ such that every vertex in $V$ is adjacent to some vertex in $D$. Finding a total dominating set of minimum size is NP-hard on planar graphs and W[2]-complete on general…

Data Structures and Algorithms · Computer Science 2023-06-22 Valentin Garnero , Ignasi Sau

A knot $K$ in a directed graph $D$ is a strongly connected component of size at least two such that there is no arc $(u,v)$ with $u \in V(K)$ and $v\notin V(K)$. Given a directed graph $D=(V,E)$, we study Knot-Free Vertex Deletion (KFVD),…

Data Structures and Algorithms · Computer Science 2023-03-21 Ajaykrishnan E S , Soumen Maity , Abhishek Sahu , Saket Saurabh

In this paper we present a quantum algorithm solving the triangle finding problem in unweighted graphs with query complexity $\tilde O(n^{5/4})$, where $n$ denotes the number of vertices in the graph. This improves the previous upper bound…

Quantum Physics · Physics 2021-10-05 François Le Gall

We study the following two fixed-cardinality optimization problems (a maximization and a minimization variant). For a fixed $\alpha$ between zero and one we are given a graph and two numbers $k \in \mathbb{N}$ and $t \in \mathbb{Q}$. The…

Data Structures and Algorithms · Computer Science 2022-10-20 Tomohiro Koana , Christian Komusiewicz , André Nichterlein , Frank Sommer

Recently, Bollob\'as, Janson and Riordan introduced a very general family of random graph models, producing inhomogeneous random graphs with $\Theta(n)$ edges. Roughly speaking, there is one model for each {\em kernel}, i.e., each symmetric…

Combinatorics · Mathematics 2010-06-29 B. Bollobas , O. Riordan

We investigate whether an n-vertex instance (G,k) of Treewidth, asking whether the graph G has treewidth at most k, can efficiently be made sparse without changing its answer. By giving a special form of OR-cross-composition, we prove that…

Computational Complexity · Computer Science 2013-08-19 Bart M. P. Jansen

Problems of the following kind have been the focus of much recent research in the realm of parameterized complexity: Given an input graph (digraph) on $n$ vertices and a positive integer parameter $k$, find if there exist $k$ edges (arcs)…

Data Structures and Algorithms · Computer Science 2014-09-18 Prachi Goyal , Pranabendu Misra , Fahad Panolan , Geevarghese Philip , Saket Saurabh

We consider problems that can be formulated as a task of finding an optimal triangulation of a graph w.r.t. some notion of optimality. We present algorithms parameterized by the size of a minimum edge clique cover ($cc$) to such problems.…

Data Structures and Algorithms · Computer Science 2022-02-08 Tuukka Korhonen

Boolean-width is a recently introduced graph parameter. Many problems are fixed parameter tractable when parametrized by boolean-width, for instance "Minimum Weighted Dominating Set" (MWDS) problem can be solved in $O^*(2^{3k})$ time given…

Discrete Mathematics · Computer Science 2011-07-11 Rémy Belmonte , Martin Vatshelle

Motivated by the recent rapid growth of research for algorithms to cluster multi-layer and temporal graphs, we study extensions of the classical Cluster Editing problem. In Multi-Layer Cluster Editing we receive a set of graphs on the same…

Discrete Mathematics · Computer Science 2018-12-14 Jiehua Chen , Hendrik Molter , Manuel Sorge , Ondrej Suchy

The notion of a (polynomial) kernelization from parameterized complexity is a well-studied model for efficient preprocessing for hard computational problems. By now, it is quite well understood which parameterized problems do or…

Data Structures and Algorithms · Computer Science 2025-04-28 Leonid Antipov , Stefan Kratsch

We show that a problem of deleting a minimum number of vertices from a graph to obtain a graph embeddable on a surface of a given Euler genus is solvable in time $2^{C_g \cdot k^2 \log k} n^{O(1)}$, where $k$ is the size of the deletion…

Data Structures and Algorithms · Computer Science 2017-06-14 Tomasz Kociumaka , Marcin Pilipczuk

It is well-known that spatial averaging can be realized (in space or frequency domain) using algorithms whose complexity does not depend on the size or shape of the filter. These fast algorithms are generally referred to as constant-time or…

Computer Vision and Pattern Recognition · Computer Science 2013-07-23 Kunal Narayan Chaudhury , Daniel Sage , Michael Unser

In the Colored Clustering problem, one is asked to cluster edge-colored (hyper-)graphs whose colors represent interaction types. More specifically, the goal is to select as many edges as possible without choosing two edges that share an…

Data Structures and Algorithms · Computer Science 2023-02-02 Leon Kellerhals , Tomohiro Koana , Pascal Kunz , Rolf Niedermeier

Let $G$ be an undirected graph. An edge of $G$ dominates itself and all edges adjacent to it. A subset $E'$ of edges of $G$ is an edge dominating set of $G$, if every edge of the graph is dominated by some edge of $E'$. We say that $E'$ is…

Discrete Mathematics · Computer Science 2017-05-24 Min Chih Lin , Vadim Lozin , Veronica A. Moyano , Jayme L. Szwarcfiter

We investigate polynomial-time preprocessing for the problem of hitting forbidden minors in a graph, using the framework of kernelization. For a fixed finite set of connected graphs F, the F-Deletion problem is the following: given a graph…

Computational Complexity · Computer Science 2018-04-25 Bart M. P. Jansen , Astrid Pieterse

For a graph $G$, a subset $S\subseteq V(G)$ is called a resolving set of $G$ if, for any two vertices $u,v\in V(G)$, there exists a vertex $w\in S$ such that $d(w,u)\neq d(w,v)$. The Metric Dimension problem takes as input a graph $G$ on…

Data Structures and Algorithms · Computer Science 2025-03-18 Florent Foucaud , Esther Galby , Liana Khazaliya , Shaohua Li , Fionn Mc Inerney , Roohani Sharma , Prafullkumar Tale

We study the statistical-computational trade-offs for learning with exact invariances (or symmetries) using kernel regression. Traditional methods, such as data augmentation, group averaging, canonicalization, and frame-averaging, either…

Machine Learning · Computer Science 2026-02-05 Ashkan Soleymani , Behrooz Tahmasebi , Stefanie Jegelka , Patrick Jaillet

We study the parameterized and kernelization complexity of the s-Club Cluster Edge Deletion problem, a distance-bounded generalization of Cluster Edge Deletion. Given a graph G = (V, E) and integers k and s, the goal is to delete at most k…

Discrete Mathematics · Computer Science 2025-11-04 Ajinkya Gaikwad