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Published in: Journal of Combinatorial Optimization 3/2021

01-01-2019

A spectral partitioning algorithm for maximum directed cut problem

Authors: Zhenning Zhang, Donglei Du, Chenchen Wu, Dachuan Xu, Dongmei Zhang

Published in: Journal of Combinatorial Optimization | Issue 3/2021

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Abstract

We investigate the maximum directed cut (MaxDC) problem by designing a spectral partitioning algorithm. Given a directed graph with nonnegative arc weights, we wish to obtain a bipartition of the vertices such that the total weight of the directed cut arcs is maximized. Relaxing the MaxDC problem as a quadratic program allows us to explore combinatorial properties of the optimal solution, leading to a 0.272-approximation algorithm via the technique of spectral partitioning rounding.

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Appendix
Available only for authorised users
Literature
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go back to reference Lewin M, Livnat D, Zwick U (2002) Improved rounding techniques for the MAX \(2\)-SAT and MAX DI-CUT problems. In: Proceedings of the 9th international conference on integer programming and combinatorial optimization, pp 67–82 Lewin M, Livnat D, Zwick U (2002) Improved rounding techniques for the MAX \(2\)-SAT and MAX DI-CUT problems. In: Proceedings of the 9th international conference on integer programming and combinatorial optimization, pp 67–82
go back to reference Soto A (2015) Improved analysis of Max-Cut algorithm based on spectral partitioning. SIAM J Discrete Math 29:259–268MathSciNetCrossRef Soto A (2015) Improved analysis of Max-Cut algorithm based on spectral partitioning. SIAM J Discrete Math 29:259–268MathSciNetCrossRef
Metadata
Title
A spectral partitioning algorithm for maximum directed cut problem
Authors
Zhenning Zhang
Donglei Du
Chenchen Wu
Dachuan Xu
Dongmei Zhang
Publication date
01-01-2019
Publisher
Springer US
Published in
Journal of Combinatorial Optimization / Issue 3/2021
Print ISSN: 1382-6905
Electronic ISSN: 1573-2886
DOI
https://doi.org/10.1007/s10878-018-0369-4

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