Hardness results on generalized connectivity
Shasha Li, Xueliang Li

TL;DR
This paper investigates the computational complexity of generalized connectivity in graphs, establishing polynomial-time solvability for certain fixed parameters and NP-completeness for others, thereby advancing understanding of the problem's difficulty.
Contribution
It characterizes the complexity of deciding internally disjoint trees connecting a vertex set for various fixed and unfixed parameters, revealing NP-completeness in key cases.
Findings
Polynomial-time algorithm for fixed k1 and k2
NP-completeness when k1 ≥ 4 and k2 is unfixed
NP-completeness when k2 ≥ 2 and k1 is unfixed
Abstract
Let be a nontrivial connected graph of order and let be an integer with . For a set of vertices of , let denote the maximum number of edge-disjoint trees in such that for every pair of distinct integers with . A collection of trees in with this property is called an internally disjoint set of trees connecting . Chartrand et al. generalized the concept of connectivity as follows: The -, denoted by , of is defined by min, where the minimum is taken over all -subsets of . Thus , where is the connectivity of , for which there are polynomial-time algorithms to solve it. This paper mainly focus on the complexity of the…
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Taxonomy
TopicsInterconnection Networks and Systems · Advanced Graph Theory Research · Complexity and Algorithms in Graphs
