On Kernelization and Approximation for the Vector Connectivity Problem
Stefan Kratsch, Manuel Sorge

TL;DR
This paper investigates kernelization and approximation algorithms for the Vector Connectivity problem, providing new bounds and algorithms, including a vertex-linear kernel and a fixed-parameter tractable approach, with implications for related problems.
Contribution
It introduces a vertex-linear kernel for Vector $d$-Connectivity, a factor $d$-approximation, and an alternative FPT algorithm, advancing understanding of kernelization and approximation in this domain.
Findings
Vertex-linear kernelization for Vector $d$-Connectivity
Factor $d$-approximation algorithm for Vector $d$-Connectivity
No polynomial kernel for Vector Connectivity unless NP ⊆ coNP/poly
Abstract
In the Vector Connectivity problem we are given an undirected graph , a demand function , and an integer . The question is whether there exists a set of at most vertices such that every vertex has at least vertex-disjoint paths to ; this abstractly captures questions about placing servers or warehouses relative to demands. The problem is \NP-hard already for instances with (Cicalese et al., arXiv '14), admits a log-factor approximation (Boros et al., Networks '14), and is fixed-parameter tractable in terms of~ (Lokshtanov, unpublished '14). We prove several results regarding kernelization and approximation for Vector Connectivity and the variant Vector -Connectivity where the upper bound on demands is a fixed constant. For Vector -Connectivity we give a factor -approximation…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Optimization and Search Problems
