Vertex and edge orderings of graphs are commonly used in algorithmic graph theory. Such orderings can encode structural properties of graphs in a condensed way and, thus, they …
J Beisegel, F Ratajczak, R Scheffler - ACM Transactions on Computation …, 2024 - dl.acm.org
When solving the Hamiltonian path problem it seems natural to be given additional precedence constraints for the order in which the vertices are visited. For example one could …
P Manuel - arXiv preprint arXiv:1807.10613, 2018 - arxiv.org
Covering problems belong to the foundation of graph theory. There are several types of covering problems in graph theory such as covering the vertex set by stars (domination …
JH Park - The Journal of Supercomputing, 2021 - Springer
Given disjoint source and sink sets, S={s_1, ..., s_k\} S= s 1,…, sk and T={t_1, ..., t_k\} T= t 1,…, tk, in a graph G, an unpaired k-disjoint path cover joining S and T is a set of pairwise …
J Shang, P Li, Y Shi - Theoretical Computer Science, 2021 - Elsevier
The longest cycle problem is the problem of finding a cycle with maximal vertices in a graph. Although it is solvable in polynomial time on few trivial graph classes, the longest cycle …
P Li, A Wang - Journal of Combinatorial Optimization, 2023 - Springer
Let G be a connected interval graph with n vertices and m edges. For any positive integer k and any subset S of E (G), we design an O (k| S|+ m) time algorithm to find a minimum k …
Given a graph G=(V, E) G=(V, E), A ⊆ VA⊆ V, and integers k and ℓ ℓ, the (A, ℓ)(A, ℓ)-Path Packing problem asks to find k vertex-disjoint paths of length exactly ℓ ℓ that have endpoints …
JH Park, JH Kim, HS Lim - Theoretical Computer Science, 2019 - Elsevier
A disjoint path cover of a graph is a set of internally vertex-disjoint paths that altogether cover every vertex of the graph. Given two disjoint source and sink sets, S and T, in a graph …
P Li - Journal of Combinatorial Optimization, 2024 - Springer
Let G be some simple graph and k be any positive integer. Take h: V (G)→{0, 1,…, k+ 1} and v∈ V (G), let AN h (v) denote the set of vertices w∈ NG (v) with h (w)≥ 1. Let AN h [v]= AN h …