Approximating Maximum Cut on Interval Graphs and Split Graphs beyond Goemans-Williamson

July 14, 2025 Β· Declared Dead Β· πŸ› International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

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Authors Jungho Ahn, Ian DeHaan, Eun Jung Kim, Euiwoong Lee arXiv ID 2507.10436 Category cs.DS: Data Structures & Algorithms Citations 0 Venue International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques Last Checked 5 months ago
Abstract
We present a polynomial-time $(Ξ±_{GW} + \varepsilon)$-approximation algorithm for the Maximum Cut problem on interval graphs and split graphs, where $Ξ±_{GW} \approx 0.878$ is the approximation guarantee of the Goemans-Williamson algorithm and $\varepsilon > 10^{-34}$ is a fixed constant. To attain this, we give an improved analysis of a slight modification of the Goemans-Williamson algorithm for graphs in which triangles can be packed into a constant fraction of their edges. We then pair this analysis with structural results showing that both interval graphs and split graphs either have such a triangle packing or have maximum cut close to their number of edges. We also show that, subject to the Small Set Expansion Hypothesis, there exists a constant $c > 0$ such that there is no polyomial-time $(1 - c)$-approximation for Maximum Cut on split graphs.
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