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

06/18/2022
by   Jun-Ting Hsieh, et al.
0

In this note, we describe a α_GW + Ω̃(1/d^2)-factor approximation algorithm for Max-Cut on weighted graphs of degree ≤ d. Here, α_GW≈ 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 Florén. 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/14/2018

Near-optimal approximation algorithm for simultaneous Max-Cut

In the simultaneous Max-Cut problem, we are given k weighted graphs on t...
research
03/15/2018

Approximating Max-Cut under Graph-MSO Constraints

We consider the max-cut and max-k-cut problems under graph-based constra...
research
10/09/2021

A Faster Algorithm for Max Cut in Dense Graphs

We design an algorithm for approximating the size of Max Cut in dense gr...
research
11/23/2019

Subexponential LPs Approximate Max-Cut

We show that for every ε > 0, the degree-n^ε Sherali-Adams linear progra...
research
11/24/2021

A Classical Algorithm Which Also Beats 1/2+2/π1/√(D) For High Girth MAX-CUT

We give a simple classical algorithm which provably achieves the perform...
research
06/03/2021

Oblivious Stacking and MAX k-CUT for Circle Graphs

Stacking is an important process within logistics. Some notable examples...
research
11/10/2022

Streaming Euclidean Max-Cut: Dimension vs Data Reduction

Max-Cut is a fundamental problem that has been studied extensively in va...

Please sign up or login with your details

Forgot password? Click here to reset