Fine-Grained Complexity and Algorithms for the Schulze Voting Method

Author(s)
Sornat, Krzysztof; Vassilevska Williams, Virginia; Xu, Yinzhan
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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Date issued
2021
URI
https://hdl.handle.net/1721.1/143943
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Proceedings of the 22nd ACM Conference on Economics and Computation
Publisher
Association for Computing Machinery (ACM)
Citation
Sornat, Krzysztof, Vassilevska Williams, Virginia and Xu, Yinzhan. 2021. "Fine-Grained Complexity and Algorithms for the Schulze Voting Method." Proceedings of the 22nd ACM Conference on Economics and Computation.
Version: Final published version
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