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For an integer $k \ge 1$, a (distance) $k$-dominating set of a connected graph $G$ is a set $S$ of vertices of $G$ such that every vertex of $V(G) \setminus S$ is at distance at most~$k$ from some vertex of $S$. The $k$-domination number,…

Combinatorics · Mathematics 2015-08-03 Randy Davila , Caleb Fast , Michael Henning , Franklin Kenter

Networks are often modeled using graphs, and within this setting we introduce the notion of $k$-fault-tolerant mutual visibility. Informally, a set of vertices $X \subseteq V(G)$ in a graph $G$ is a $k$-fault-tolerant mutual-visibility set…

Combinatorics · Mathematics 2025-12-02 Serafino Cicerone , Gabriele Di Stefano , Sandi Klavžar , Gang Zhang

In a graph G, the cardinality of the smallest ordered set of vertices that distinguishes every element of V(G)U E(G) is called the mixed metric dimension of G, and it is denoted by mdim(G). In [12] it was conjectured that for a graph G with…

Combinatorics · Mathematics 2020-12-17 Jelena Sedlar , Riste Škrekovski

In a graph G, a vertex dominates itself and its neighbors. A subset S of V is called a dominating set in G if every vertex in V is dominated by at least one vertex in S. The domination number gamma G is the minimum cardinality of a…

Combinatorics · Mathematics 2016-11-18 S. Mehry , R. Safakish

Assume that a graph $G$ models a detection system for a facility with a possible "intruder," or a multiprocessor network with a possible malfunctioning processor. We consider the problem of placing (the minimum number of) detectors at a…

Discrete Mathematics · Computer Science 2022-04-26 Devin Jean , Suk Seo

A subset $S$ of vertices of a connected graph $G$ is a distance-equalizer set if for every two distinct vertices $x, y \in V (G) \setminus S$ there is a vertex $w \in S$ such that the distances from $x$ and $y$ to $w$ are the same. The…

Combinatorics · Mathematics 2024-05-09 A. González , C. Hernando , M. Mora

Given a graph $G = (V,E)$, a set $S \subset V$ is called a $k$-\emph{metric generator} for $G$ if any pair of different vertices of $G$ is distinguished by at least $k$ elements of $S$. A graph is $k$-\emph{metric dimensional} if $k$ is the…

Combinatorics · Mathematics 2019-03-29 Samuel G. Corregidor , Álvaro Martínez-Pérez

Let $\lambda(G)$ be the smallest number of vertices that can be removed from a non-empty graph $G$ so that the resulting graph has a smaller maximum degree. Let $\lambda_{\rm e}(G)$ be the smallest number of edges that can be removed from…

Combinatorics · Mathematics 2020-07-24 Peter Borg

The "separation dimension" of a graph $G$ is the minimum positive integer $d$ for which there is an embedding of $G$ into $\mathbb{R}^d$, such that every pair of disjoint edges are separated by some axis-parallel hyperplane. We prove a…

Combinatorics · Mathematics 2021-07-01 Alex Scott , David R. Wood

Metric dimension is a graph parameter that has been applied to robot navigation and finding low-dimensional vector embeddings. Throttling entails minimizing the sum of two available resources when solving certain graph problems. In this…

Combinatorics · Mathematics 2025-10-02 Boris Brimkov , Peter Diao , Jesse Geneson , Carolyn Reinhart , Shen-Fu Tsai , William Wang , Kyle Worley

Let ${\cal G}$ be a family of graphs defined on a common (labeled) vertex set $V$. A set $S\subset V$ is said to be a simultaneous strong metric generator for ${\cal G}$ if it is a strong metric generator for every graph of the family. The…

A set of vertices $W$ resolves a graph $G$ if every vertex is uniquely determined by its vector of distances to the vertices in $W$. A metric dimension of $G$ is the minimum cardinality of a resolving set of $G$. A bipartite graph G(n,n) is…

Combinatorics · Mathematics 2015-03-17 S. W. Saputro , E. T. Baskoro , A. N. M. Salman , D. Suprijanto , And M. Baca

The metric dimension of a graph $G$ is the minimum number of vertices in a subset $S$ of the vertex set of $G$ such that all other vertices are uniquely determined by their distances to the vertices in $S$. In this paper we investigate the…

Combinatorics · Mathematics 2014-06-12 B. Bollobas , D. Mitsche , P. Pralat

A locating-dominating set is a subset of vertices representing "detectors" in a graph G; each detector monitors its closed neighborhood and can distinguish its own location from its neighbors, and given all sensor input, the system can…

Discrete Mathematics · Computer Science 2022-12-19 Devin Jean , Suk Seo

We explore a reconfiguration version of the dominating set problem, where a dominating set in a graph $G$ is a set $S$ of vertices such that each vertex is either in $S$ or has a neighbour in $S$. In a reconfiguration problem, the goal is…

Discrete Mathematics · Computer Science 2014-01-31 Akira Suzuki , Amer E. Mouawad , Naomi Nishimura

Foucaud et al. [Discrete Appl. Math. 319 (2022), 424-438] recently introduced and initiated the study of a new graph-theoretic concept in the area of network monitoring. For a set $M$ of vertices and an edge $e$ of a graph $G$, let $P(M,…

Combinatorics · Mathematics 2022-11-10 Chengxu Yang , Ralf Klasing , Yaping Mao , Xingchao Deng

Let $\Gamma$ be a simple connected undirected graph with vertex set $V(\Gamma)$ and edge set $E(\Gamma)$. The metric dimension of a graph $\Gamma$ is the least number of vertices in a set with the property that the list of distances from…

General Mathematics · Mathematics 2020-04-16 Jia-Bao Liu , Ali Zafari , Hassan Zarei

In the geodetic convexity, a set of vertices $S$ of a graph $G$ is $\textit{convex}$ if all vertices belonging to any shortest path between two vertices of $S$ lie in $S$. The cardinality $con(G)$ of a maximum proper convex set $S$ of $G$…

Discrete Mathematics · Computer Science 2023-06-22 Diane Castonguay , Erika M. M. Coelho , Hebert Coelho , Julliano R. Nascimento

The study of fault-tolerant data structures for various network design problems is a prominent area of research in computer science. Likewise, the study of NP-Complete problems lies at the heart of computer science with numerous results in…

Data Structures and Algorithms · Computer Science 2020-09-15 Pranabendu Misra

Many modern data analysis algorithms either assume that or are considerably more efficient if the distances between the data points satisfy a metric. These algorithms include metric learning, clustering, and dimensionality reduction.…

Data Structures and Algorithms · Computer Science 2018-07-23 Anna C. Gilbert , Rishi Sonthalia