An Improved Approximation Algorithm for the Max-$3$-Section Problem
August 07, 2023 Β· Declared Dead Β· π Embedded Systems and Applications
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Authors
Dor Katzelnick, Aditya Pillai, Roy Schwartz, Mohit Singh
arXiv ID
2308.03516
Category
cs.DS: Data Structures & Algorithms
Citations
2
Venue
Embedded Systems and Applications
Last Checked
4 months ago
Abstract
We consider the Max-$3$-Section problem, where we are given an undirected graph $ G=(V,E)$ equipped with non-negative edge weights $w :E\rightarrow \mathbb{R}_+$ and the goal is to find a partition of $V$ into three equisized parts while maximizing the total weight of edges crossing between different parts. Max-$3$-Section is closely related to other well-studied graph partitioning problems, e.g., Max-$k$-Cut, Max-$3$-Cut, and Max-Bisection. We present a polynomial time algorithm achieving an approximation of $ 0.795$, that improves upon the previous best known approximation of $ 0.673$. The requirement of multiple parts that have equal sizes renders Max-$3$-Section much harder to cope with compared to, e.g., Max-Bisection. We show a new algorithm that combines the existing approach of Lassere hierarchy along with a random cut strategy that suffices to give our result.
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