English

A 1.5-pproximation algorithms for activating 2 disjoint $st$-paths

Data Structures and Algorithms 2023-07-25 v1

Abstract

In the ActivationActivation kk DisjointDisjoint stst-PathsPaths (ActivationActivation kk-DPDP) problem we are given a graph G=(V,E)G=(V,E) with activation costs {cuvu,cuvv}\{c_{uv}^u,c_{uv}^v\} for every edge uvEuv \in E, a source-sink pair s,tVs,t \in V, and an integer kk. The goal is to compute an edge set FEF \subseteq E of kk internally node disjoint stst-paths of minimum activation cost vVmaxuvEcuvv\displaystyle \sum_{v \in V}\max_{uv \in E}c_{uv}^v. The problem admits an easy 22-approximation algorithm. Alqahtani and Erlebach [CIAC, pages 1-12, 2013] claimed that Activation 2-DP admits a 1.51.5-approximation algorithm. Their proof has an error, and we will show that the approximation ratio of their algorithm is at least 22. We will then give a different algorithm with approximation ratio 1.51.5.

Cite

@article{arxiv.2307.12646,
  title  = {A 1.5-pproximation algorithms for activating 2 disjoint $st$-paths},
  author = {Zeev Nutov and Dawod Kahba},
  journal= {arXiv preprint arXiv:2307.12646},
  year   = {2023}
}
R2 v1 2026-06-28T11:38:27.575Z