English

A parallel algorithm for minimum weight set cover with small neighborhood property

Data Structures and Algorithms 2022-02-09 v1

Abstract

This paper studies the minimum weight set cover (MinWSC) problem with a {\em small neighborhood cover} (SNC) property proposed by Agarwal {\it et al.} in \cite{Agarwal.}. A parallel algorithm for MinWSC with τ\tau-SNC property is presented, obtaining approximation ratio τ(1+3ε)\tau(1+3\varepsilon) in O(Llog1+εn3ε2+4τ32τL2logn)O(L\log_{1+\varepsilon}\frac{n^3}{\varepsilon^2}+ 4\tau^{3}2^\tau L^2\log n) rounds, where 0<ε<120< \varepsilon <\frac{1}{2} is a constant, nn is the number of elements, and LL is a parameter related to SNC property. Our results not only improve the approximation ratio obtained in \cite{Agarwal.}, but also answer two questions proposed in \cite{Agarwal.}.

Cite

@article{arxiv.2202.03872,
  title  = {A parallel algorithm for minimum weight set cover with small neighborhood property},
  author = {Yingli Ran and Yaoyao Zhang and Zhao Zhang},
  journal= {arXiv preprint arXiv:2202.03872},
  year   = {2022}
}
R2 v1 2026-06-24T09:26:16.470Z