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Improving the linear relaxation of maximum k-cut with semidefinite-based constraints

Vilmar Jefté Rodrigues de Sousa, Miguel F. Anjos and Sébastien Le Digabel

Article (2019)

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Department: Department of Mathematics and Industrial Engineering
Research Center: GERAD - Research Group in Decision Analysis
PolyPublie URL: https://publications.polymtl.ca/43593/
Journal Title: EURO Journal on Computational Optimization (vol. 7, no. 2)
Publisher: Springer
DOI: 10.1007/s13675-019-00110-y
Official URL: https://doi.org/10.1007/s13675-019-00110-y
Date Deposited: 18 Apr 2023 15:01
Last Modified: 25 Sep 2024 16:30
Cite in APA 7: de Sousa, V. J. R., Anjos, M. F., & Le Digabel, S. (2019). Improving the linear relaxation of maximum k-cut with semidefinite-based constraints. EURO Journal on Computational Optimization, 7(2), 123-151. https://doi.org/10.1007/s13675-019-00110-y

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