An approximation algorithm for k-level squared metric facility location problem with outliers
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11590-024-02107-y.pdf
Reference15 articles.
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3. Wang, X., Hua, Y., Kodirov, E., Robertson, N.M.: Ranked list loss for deep metric learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(9), 5414–5429 (2022)
4. Chudak, F.A., Shmoys, D.B.: Improved approximation algorithms for the uncapacitated facility location problem. SIAM J. Comput. 33(1), 1–25 (2003)
5. Mahdian, M., Ye, Y., Zhang, J.: Approximation algorithms for metric facility location problems. SIAM J. Comput. 36(2), 411–432 (2006)
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