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A Survey on the k-Path Vertex Cover Problem [PDF]

open access: goldAxioms, 2022
Given an integer k ≥ 2, a k-path is a path on k vertices. A set of vertices in a graph G is called a k-path vertex cover if it includes at least one vertex of every k-path of G.
Jianhua Tu
doaj   +4 more sources

Self-Stabilizing Capacitated Vertex Cover Algorithms for Internet-of-Things-Enabled Wireless Sensor Networks [PDF]

open access: yesSensors, 2022
Wireless sensor networks (WSNs) achieving environmental sensing are fundamental communication layer technologies in the Internet of Things. Battery-powered sensor nodes may face many problems, such as battery drain and software problems.
Yasin Yigit   +2 more
doaj   +3 more sources

A Constructive Characterization of Vertex Cover Roman Trees

open access: diamondDiscussiones Mathematicae Graph Theory, 2021
A Roman dominating function on a graph G = (V (G), E(G)) is a function f : V (G) → {0, 1, 2} satisfying the condition that every vertex u for which f (u) = 0 is adjacent to at least one vertex v for which f (v) = 2.
Martínez Abel Cabrera   +2 more
doaj   +3 more sources

TIVC: An Efficient Local Search Algorithm for Minimum Vertex Cover in Large Graphs. [PDF]

open access: yesSensors (Basel), 2023
The minimum vertex cover (MVC) problem is a canonical NP-hard combinatorial optimization problem aiming to find the smallest set of vertices such that every edge has at least one endpoint in the set.
Zhang Y, Wang S, Liu C, Zhu E.
europepmc   +2 more sources

A faster algorithm for Vertex Cover parameterized by solution size [PDF]

open access: greenSymposium on Theoretical Aspects of Computer Science, 2022
We describe a new algorithm for vertex cover with runtime $O^*(1.25284^k)$, where $k$ is the size of the desired solution and $O^*$ hides polynomial factors in the input size. This improves over previous runtime of $O^*(1.2738^k)$ due to Chen, Kanj,&Xia (
David G. Harris, N. S. Narayanaswamy
openalex   +3 more sources

Improving Vertex Cover as a Graph Parameter [PDF]

open access: diamondDiscrete Mathematics & Theoretical Computer Science, 2015
Parameterized algorithms are often used to efficiently solve NP-hard problems on graphs. In this context, vertex cover is used as a powerful parameter for dealing with graph problems which are hard to solve even when parameterized by tree-width; however,
Robert Ganian
doaj   +2 more sources

Solving large Minimum Vertex Cover problems on a quantum annealer [PDF]

open access: greenACM International Conference on Computing Frontiers, 2019
We consider the minimum vertex cover problem having applications in e.g. biochemistry and network security. Quantum annealers can find the optimum solution of such NP-hard problems, given they can be embedded on the hardware. This is often infeasible due
Elijah Pelofske   +2 more
openalex   +3 more sources

An Exact Algorithm for Minimum Vertex Cover Problem

open access: yesMathematics, 2019
In this paper, we propose a branch-and-bound algorithm to solve exactly the minimum vertex cover (MVC) problem. Since a tight lower bound for MVC has a significant influence on the efficiency of a branch-and-bound algorithm, we define two novel lower ...
Luzhi Wang   +3 more
doaj   +2 more sources

The Complexity of Temporal Vertex Cover in Small-Degree Graphs [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2022
Temporal graphs naturally model graphs whose underlying topology changes over time. Recently, the problems Temporal Vertex Cover (or TVC) and Sliding-Window Temporal Vertex Cover (or Delta-TVC for time-windows of a fixed-length Delta) have been ...
Thekla Hamm   +3 more
semanticscholar   +1 more source

Vertex decomposability of complexes associated to forests [PDF]

open access: yesTransactions on Combinatorics, 2022
In this article‎, ‎we discuss the vertex decomposability of three well-studied simplicial complexes associated to forests‎. ‎In particular‎, ‎we show that the bounded degree complex of a forest and the complex of directed trees of a multidiforest is ...
Anurag Singh
doaj   +1 more source

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