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

June 18, 2022 · Declared Dead · 🏛 International Colloquium on Automata, Languages and Programming

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Authors Jun-Ting Hsieh, Pravesh K. Kothari arXiv ID 2206.09204 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CC Citations 5 Venue International Colloquium on Automata, Languages and Programming Last Checked 4 months ago
Abstract
In this note, we describe a $α_{GW} + \tildeΩ(1/d^2)$-factor approximation algorithm for Max-Cut on weighted graphs of degree $\leq d$. Here, $α_{GW}\approx 0.878$ 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 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.
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