English

Approximating Max-Cut on Bounded Degree Graphs: Tighter Analysis of the FKL Algorithm

Data Structures and Algorithms 2022-06-23 v1 Computational Complexity

Abstract

In this note, we describe a αGW+Ω~(1/d2)\alpha_{GW} + \tilde{\Omega}(1/d^2)-factor approximation algorithm for Max-Cut on weighted graphs of degree d\leq d. Here, αGW0.878\alpha_{GW}\approx 0.878 is the worst-case approximation ratio of the Goemans-Williamson rounding for Max-Cut. This improves on previous results for unweighted graphs by Feige, Karpinski, and Langberg and Flor\'en. Our guarantee is obtained by a tighter analysis of the solution obtained by applying a natural local improvement procedure to the Goemans-Williamson rounding of the basic SDP strengthened with triangle inequalities.

Keywords

Cite

@article{arxiv.2206.09204,
  title  = {Approximating Max-Cut on Bounded Degree Graphs: Tighter Analysis of the FKL Algorithm},
  author = {Jun-Ting Hsieh and Pravesh K. Kothari},
  journal= {arXiv preprint arXiv:2206.09204},
  year   = {2022}
}
R2 v1 2026-06-24T11:56:00.067Z