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A maximum hypergraph 3-cut problem with limited unbalance: approximation and analysis

Jian Sun, Zan-Bo Zhang, Yannan Chen, Deren Han, Donglei Du and Xiaoyan Zhang ()
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Jian Sun: Beijing University of Technology
Zan-Bo Zhang: Guangdong University of Finance and Economics
Yannan Chen: South China Normal University
Deren Han: Beihang University
Donglei Du: University of New Brunswick
Xiaoyan Zhang: Nanjing Normal University

Journal of Global Optimization, 2023, vol. 87, issue 2, No 25, 917-937

Abstract: Abstract We consider the max hypergraph 3-cut problem with limited unbalance (MH3C-LU). The objective is to divide the vertex set of an edge-weighted hypergraph $$H=(V,E,w)$$ H = ( V , E , w ) into three disjoint subsets $$V_{1}$$ V 1 , $$V_{2}$$ V 2 , and $$V_{3}$$ V 3 such that the sum of edge weights cross different parts is maximized subject to $$||V_{i}|-|V_{l}||\le B$$ | | V i | - | V l | | ≤ B ( $$\forall i\ne l\in \{1,2,3\}$$ ∀ i ≠ l ∈ { 1 , 2 , 3 } ) for a given parameter B. This problem is NP-hard because it includes some well-known problems like the max 3-section problem and the max 3-cut problem as special cases. We formulate the MH3C-LU as a ternary quadratic program and present a randomized approximation algorithm based on the complex semidefinite programming relaxation technique.

Keywords: Randomized algorithm; Approximation algorithm; Complex semidefinite programming; Max hypergraph 3-cut (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10898-022-01183-7

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