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Published in 2025 at "Optimization Letters"
DOI: 10.1007/s11590-025-02199-0
Abstract: Given graph G=(V,E)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G=(V,E)$$\end{document} with vertex set V and edge set E, the max k-cut problem seeks to partition the vertex set V into at most k…
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Keywords:
max cut;
preprocess;
problem;
cut problem ... See more keywords
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Published in 2024 at "Nanotechnology"
DOI: 10.1088/1361-6528/ad6f18
Abstract: Solving certain combinatorial optimization problems like Max-Cut becomes challenging once the graph size and edge connectivity increase beyond a threshold, with brute-force algorithms which solve such problems exactly on conventional digital computers having the bottleneck…
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Keywords:
max cut;
time;
time complexity;
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Published in 2025 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2025.3627078
Abstract: This brief presents an approach to solve Max 3-Cut problems using tripolar oscillatory cellular neural networks. We demonstrate the solution to Max 3-Cut can be formulated in terms of minimizing the Potts Hamiltonian. We propose…
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Keywords:
max cut;
tripolar oscillatory;
computing max;
oscillatory cellular ... See more keywords
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Published in 2025 at "INFORMS Journal on Computing"
DOI: 10.1287/ijoc.2024.0812
Abstract: The subgraph sampling scheme (SSS) is a technique originally introduced for Markov random fields. It is a powerful tool for designing heuristic algorithms for max-cut, quadratic unconstrained binary optimization (QUBO), and other optimization problems. The…
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Keywords:
max cut;
methodology;
history;
algorithms max ... See more keywords