Journals / Turkish Journal of Mathematics and Computer Science / 2021 / Cilt: 13 - Sayı: 1

A Maximum Cardinality Cut Algorithm for Co-bipartite and Split Graphs Using Bimodular Decomposition

Pages
182–191
Publication Date
2022-11-02
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Namely, we show thatMaxCut is polynomial-time solvable for co-bipartite graphs that can be factored to bounded treewidth graphs using bimodular decomposition.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The maximum cardinality cut (MaxCut) problem remains NP-complete for co-bipartite graphs and for split graphs.
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Key Findings & Data:Based on modular decomposition, in [3] it is shown that MaxCut is polynomial-time solvable for graphs that are factorable to bounded treewidth graphs.
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Conclusion & Impact:Namely, we show thatMaxCut is polynomial-time solvable for co-bipartite graphs that can be factored to bounded treewidth graphs using bimodular decomposition.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The maximum cardinality cut (MaxCut) problem remains NP-complete for co-bipartite graphs and for split graphs. Based on modular decomposition, in [3] it is shown that MaxCut is polynomial-time solvable for graphs that are factorable to bounded treewidth graphs. However, this approach fails in co-bipartite graphs because the modules of a co-bipartite graph are exactly twins and connected components. In this work we extend the result of [3] to co-bipartite graphs using the concept of bimodules and bimodular decomposition proposed in [6]. Namely, we show thatMaxCut is polynomial-time solvable for co-bipartite graphs that can be factored to bounded treewidth graphs using bimodular decomposition.

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Cite This Article

Boyacı, A., Shalom, M. (2022). A Maximum Cardinality Cut Algorithm for Co-bipartite and Split Graphs Using Bimodular Decomposition. Turkish Journal of Mathematics and Computer Science, Cilt: 13 - Sayı: 1, 182–191. https://ajindex.com/articles/609057

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