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In this paper we study the hardness of the $k$-Center problem on inputs that model transportation networks. For the problem, a graph $G=(V,E)$ with edge lengths and an integer $k$ are given and a center set $C\subseteq V$ needs to be chosen…

计算复杂性 · 计算机科学 2020-03-03 Andreas Emil Feldmann , Daniel Marx

We consider the $k$-Center problem and some generalizations. For $k$-Center a set of $k$ center vertices needs to be found in a graph $G$ with edge lengths, such that the distance from any vertex of $G$ to its nearest center is minimized.…

数据结构与算法 · 计算机科学 2019-04-29 Andreas Emil Feldmann

The graph parameters highway dimension and skeleton dimension were introduced to capture the properties of transportation networks. As many important optimization problems like Travelling Salesperson, Steiner Tree or $k$-Center arise in…

离散数学 · 计算机科学 2019-11-20 Johannes Blum

The NP-hard Metric Dimension problem is to decide for a given graph G and a positive integer k whether there is a vertex subset of size at most k that separates all vertex pairs in G. Herein, a vertex v separates a pair {u,w} if the…

计算复杂性 · 计算机科学 2012-11-08 Sepp Hartung , André Nichterlein

We consider a the minimum k-way cut problem for unweighted graphs with a size bound s on the number of cut edges allowed. Thus we seek to remove as few edges as possible so as to split a graph into k components, or report that this requires…

离散数学 · 计算机科学 2011-01-27 Ken-ichi Kawarabayashi , Mikkel Thorup

The $k$-center problem is a central optimization problem with numerous applications for machine learning, data mining, and communication networks. Despite extensive study in various scenarios, it surprisingly has not been thoroughly…

分布式、并行与集群计算 · 计算机科学 2024-07-26 Leyla Biabani , Ami Paz

In $(k,r)$-Center we are given a (possibly edge-weighted) graph and are asked to select at most $k$ vertices (centers), so that all other vertices are at distance at most $r$ from a center. In this paper we provide a number of tight…

计算复杂性 · 计算机科学 2018-11-14 Ioannis Katsikarelis , Michael Lampis , Vangelis Th. Paschos

The cyclability of a graph is the maximum integer $k$ for which every $k$ vertices lie on a cycle. The algorithmic version of the problem, given a graph $G$ and a non-negative integer $k,$ decide whether the cyclability of $G$ is at least…

(see paper for full abstract) Given a vertex-weighted directed graph $G=(V,E)$ and a set $T=\{t_1, t_2, \ldots t_k\}$ of $k$ terminals, the objective of the SCSS problem is to find a vertex set $H\subseteq V$ of minimum weight such that…

数据结构与算法 · 计算机科学 2019-12-02 Rajesh Chitnis , Andreas Emil Feldmann , MohammadTaghi Hajiaghayi , Dániel Marx

The Euclidean $k$-means problem is a classical problem that has been extensively studied in the theoretical computer science, machine learning and the computational geometry communities. In this problem, we are given a set of $n$ points in…

计算复杂性 · 计算机科学 2015-02-12 Pranjal Awasthi , Moses Charikar , Ravishankar Krishnaswamy , Ali Kemal Sinop

We study the Steiner Tree problem on unit disk graphs. Given a $n$ vertex unit disk graph $G$, a subset $R\subseteq V(G)$ of $t$ vertices and a positive integer $k$, the objective is to decide if there exists a tree $T$ in $G$ that spans…

计算几何 · 计算机科学 2020-04-21 Sujoy Bhore , Paz Carmi , Sudeshna Kolay , Meirav Zehavi

We study the NP-hard graph problem Collapsed k-Core where, given an undirected graph G and integers b, x, and k, we are asked to remove b vertices such that the k-core of remaining graph, that is, the (uniquely determined) largest induced…

离散数学 · 计算机科学 2018-06-01 Junjie Luo , Hendrik Molter , Ondrej Suchy

Connected clustering denotes a family of constrained clustering problems in which we are given a distance metric and an undirected connectivity graph $G$ that can be completely unrelated to the metric. The aim is to partition the $n$…

数据结构与算法 · 计算机科学 2025-11-25 Jan Eube , Heiko Röglin

We consider a generalized version of the (weighted) one-center problem on graphs. Given an undirected graph $G$ of $n$ vertices and $m$ edges and a positive integer $k\leq n$, the problem aims to find a point in $G$ so that the maximum…

数据结构与算法 · 计算机科学 2025-01-22 Jingru Zhang

Finding the k-medianin a network involves identifying a subset of k vertices that minimize the total distance to all other vertices in a graph. This problem has been extensively studied in computer science, graph theory, operations…

数据结构与算法 · 计算机科学 2023-12-14 Roldan Pozo

We consider the $k$-center problem in which the centers are constrained to lie on two lines. Given a set of $n$ weighted points in the plane, we want to locate up to $k$ centers on two parallel lines. We present an $O(n\log^2 n)$ time…

计算几何 · 计算机科学 2016-04-27 Binay Bhattacharya , Sandip Das , Yuya Higashikawa , Tsunehiko Kameda , Naoki Katoh

In this paper, we study the $k$-center problem of uncertain points on a graph. Given are an undirected graph $G = (V, E)$ and a set $\mathcal{P}$ of $n$ uncertain points where each uncertain point with a non-negative weight has $m$ possible…

数据结构与算法 · 计算机科学 2025-12-22 Haitao Xu , Jingru Zhang

We consider the classical $k$-Center problem in undirected graphs. The problem is known to have a polynomial-time 2-approximation. There are even $(2+\varepsilon)$-approximations running in near-linear time. The conventional wisdom is that…

数据结构与算法 · 计算机科学 2025-03-13 Ce Jin , Yael Kirkpatrick , Virginia Vassilevska Williams , Nicole Wein

In the classic $k$-center problem, we are given a metric graph, and the objective is to open $k$ nodes as centers such that the maximum distance from any vertex to its closest center is minimized. In this paper, we consider two important…

数据结构与算法 · 计算机科学 2013-01-16 Danny Z. Chen , Jian Li , Hongyu Liang , Haitao Wang

Motivated by an application from geodesy, we introduce a novel clustering problem which is a $k$-center (or k-diameter) problem with a side constraint. For the side constraint, we are given an undirected connectivity graph $G$ on the input…

数据结构与算法 · 计算机科学 2023-10-19 Lukas Drexler , Jan Eube , Kelin Luo , Dorian Reineccius , Heiko Röglin , Melanie Schmidt , Julian Wargalla
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