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In the restricted shortest paths problem, we are given a graph $G$ whose edges are assigned two non-negative weights: lengths and delays, a source $s$, and a delay threshold $D$. The goal is to find, for each target $t$, the length of the…

Data Structures and Algorithms · Computer Science 2024-10-23 Vikrant Ashvinkumar , Aaron Bernstein , Adam Karczmarz

We investigate the \emph{minimum weight cycle (MWC)} problem in the $\mathsf{CONGEST}$ model of distributed computing. For undirected weighted graphs, we design a randomized algorithm that achieves a $(k+1)$-approximation, for any…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-30 Yi-Jun Chang , Yanyu Chen , Dipan Dey , Yonggang Jiang , Gopinath Mishra , Hung Thuan Nguyen , Mingyang Yang

In a graph $G = (V,E)$, a k-ruling set $S$ is one in which all vertices $V$ \ $S$ are at most $k$ distance from $S$. Finding a minimum k-ruling set is intrinsically linked to the minimum dominating set problem and maximal independent set…

Data Structures and Algorithms · Computer Science 2024-09-27 Max Koster

In the Connected Budgeted maximum Coverage problem (CBC), we are given a collection of subsets $\mathcal{S}$, defined over a ground set $X$, and an undirected graph $G=(V,E)$, where each node is associated with a set of $\mathcal{S}$. Each…

Data Structures and Algorithms · Computer Science 2025-04-11 Gianlorenzo D'Angelo , Esmaeil Delfaraz

We introduce and discuss the Minimum Capacity-Preserving Subgraph (MCPS) problem: given a directed graph and a retention ratio $\alpha \in (0,1)$, find the smallest subgraph that, for each pair of vertices $(u,v)$, preserves at least a…

Data Structures and Algorithms · Computer Science 2025-02-13 Markus Chimani , Max Ilsen

In a recent work, Esmer et al. describe a simple method - Approximate Monotone Local Search - to obtain exponential approximation algorithms from existing parameterized exact algorithms, polynomial-time approximation algorithms and, more…

Data Structures and Algorithms · Computer Science 2023-08-30 Baris Can Esmer , Ariel Kulik , Daniel Marx , Daniel Neuen , Roohani Sharma

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 $n$…

Data Structures and Algorithms · Computer Science 2025-11-25 Jan Eube , Heiko Röglin

Given an undirected connected graph $G = (V(G), E(G))$ on $n$ vertices, the minimum Monitoring Edge-Geodetic Set (MEG-set) problem asks to find a subset $M \subseteq V(G)$ of minimum cardinality such that, for every edge $e \in E(G)$, there…

Computational Complexity · Computer Science 2024-05-24 Davide Bilò , Giordano Colli , Luca Forlizzi , Stefano Leucci

In the Minimum Consistent Subset (MCS) problem, we are presented with a connected simple undirected graph $G=(V,E)$, consisting of a vertex set $V$ of size $n$ and an edge set $E$. Each vertex in $V$ is assigned a color from the set…

Computational Geometry · Computer Science 2025-09-19 Aritra Banik , Sayani Das , Anil Maheshwari , Bubai Manna , Subhas C Nandy , Krishna Priya K M , Bodhayan Roy , Sasanka Roy , Abhishek Sahu

In the $k$-edge-connected spanning subgraph ($k$ECSS) problem, our goal is to compute a minimum-cost sub-network that is resilient against up to $k$ link failures: Given an $n$-node $m$-edge graph with a cost function on the edges, our goal…

The min-diameter of a directed graph $G$ is a measure of the largest distance between nodes. It is equal to the maximum min-distance $d_{min}(u,v)$ across all pairs $u,v \in V(G)$, where $d_{min}(u,v) = \min(d(u,v), d(v,u))$. Our work…

Data Structures and Algorithms · Computer Science 2023-08-21 Aaron Berger , Jenny Kaufmann , Virginia Vassilevska Williams

Given a $k$-vertex-connected graph $G$ and a set $S$ of extra edges (links), the goal of the $k$-vertex-connectivity augmentation problem is to find a set $S' \subseteq S$ of minimum size such that adding $S'$ to $G$ makes it…

Data Structures and Algorithms · Computer Science 2021-11-04 Waldo Gálvez , Francisco Sanhueza-Matamala , José A. Soto

Given an undirected simple graph, a subset of the vertices of the graph is a {\em dominating set} if every vertex not in the subset is adjacent to at least one vertex in the subset. A subset of the vertices of the graph is a {\em connected…

Combinatorics · Mathematics 2021-09-30 Masahisa Goto , Koji M. Kobayashi

Packing disjoint subgraphs in a given graph is a fundamental problem with many applications. Motivated by political districting, we focus on connected subgraphs that are compact (e.g., having constant radius from a single center vertex) and…

Data Structures and Algorithms · Computer Science 2026-04-13 Ho-Lin Chen , Po-Yu Chou , Prathamesh Dharangutte , Jie Gao , Shang-En Huang , Fang-Yi Yu

The study of power domination in graphs arises from the problem of placing a minimum number of measurement devices in an electrical network while monitoring the entire network. A power dominating set of a graph is a set of vertices from…

Combinatorics · Mathematics 2017-12-08 Boris Brimkov , Derek Mikesell , Logan Smith

We consider the maximum vertex-weighted matching problem (MVM), in which non-negative weights are assigned to the vertices of a graph, the weight of a matching is the sum of the weights of the matched vertices, and we are required to…

Data Structures and Algorithms · Computer Science 2018-10-12 Florin Dobrian , Mahantesh Halappanavar , Alex Pothen , Ahmed Al-Herz

A function f: V \rightarrow \{-1,0,1\} is a minus-domination function of a graph G=(V,E) if the values over the vertices in each closed neighborhood sum to a positive number. The weight of f is the sum of f(x) over all vertices x \in V. The…

Discrete Mathematics · Computer Science 2013-08-26 Luérbio Faria , Wing-Kai Hon , Ton Kloks , Hsiang-Hsuan Liu , Tao-Ming Wang , Yue-Li Wang

Let $G=(V,E)$ be a graph with unit-length edges and nonnegative costs assigned to its vertices. Being given a list of pairwise different vertices $S=(s_1,s_2,\ldots,s_p)$, the {\em prioritized Voronoi diagram} of $G$ with respect to $S$ is…

Data Structures and Algorithms · Computer Science 2022-11-08 Guillaume Ducoffe

Edge connectivity and vertex connectivity are two fundamental concepts in graph theory. Although by now there is a good understanding of the structure of graphs based on their edge connectivity, our knowledge in the case of vertex…

Discrete Mathematics · Computer Science 2013-04-17 Keren Censor-Hillel , Mohsen Ghaffari , Fabian Kuhn

The use of network based approaches to model and analyse large datasets is currently a growing research field. For instance in biology and medicine, networks are used to model interactions among biological molecules as well as relations…

Data Structures and Algorithms · Computer Science 2020-09-04 Pietro Hiram Guzzi , Emanuel Salerno , Giuseppe Tradigo , Pierangelo Veltri