Abstract
In this paper, we study the maximum directed cut (MaxDC) problem. In the MaxDC, we are given a directed graph with nonnegative edge weights. Our goal is to obtain a bipartition of the vertices such that the total edge weight of the directed cut is maximized. By exploring the combinatorial characteristics of the optimal solution, we offer a 0.272-approximation algorithm based on the technique of spectral partitioning rounding.
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Acknowledgments
The first author is supported by Beijing Excellent Talents Funding (No. 2014000020124G046). The second author’s research is supported by Natural Sciences and Engineering Research Council of Canada (NSERC) grant 283106. The third author’s research is supported by NSFC (No. 11501412). The fourth author’s research is supported by NSFC (No. 11531014). The fifth author is supported by Shandong Jianzhu University grant Z0013.
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Zhang, Z., Du, D., Wu, C., Xu, D., Zhang, D. (2017). A Spectral Partitioning Algorithm for Maximum Directed Cut Problem. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10627. Springer, Cham. https://doi.org/10.1007/978-3-319-71150-8_26
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DOI: https://doi.org/10.1007/978-3-319-71150-8_26
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