Survivable Network Design Revisited: Group-Connectivity
Qingyun Chen, Bundit Laekhanukit, Chao Liao, Yuhao Zhang

TL;DR
This paper introduces the first true approximation algorithm for the Group EC-SNDP, a generalized survivable network design problem involving subset-to-subset connectivity, expanding understanding beyond point-to-point cases.
Contribution
It develops a novel framework that provides the first non-trivial approximation algorithm for Group EC-SNDP, advancing the theoretical understanding of subset-to-subset connectivity problems.
Findings
First non-trivial approximation algorithm for Group EC-SNDP
Framework extends survivable network design to subset-to-subset connectivity
Improves upon previous bicriteria and single-source algorithms
Abstract
In the classical survivable network design problem (SNDP), we are given an undirected graph with costs on edges and a connectivity requirement for each pair of vertices. The goal is to find a minimum-cost subgraph such that every pair are connected by edge or (openly) vertex disjoint paths, abbreviated as EC-SNDP and VC-SNDP, respectively. The seminal result of Jain [FOCS'98, Combinatorica'01] gives a -approximation algorithm for EC-SNDP, and a decade later, an -approximation algorithm for VC-SNDP, where is the largest connectivity requirement, was discovered by Chuzhoy and Khanna [FOCS'09, Theory Comput.'12]. While there is rich literature on point-to-point settings of SNDP, the viable case of connectivity between subsets is still relatively poorly understood. This paper concerns the generalization of SNDP into…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Optimization and Search Problems
