Fine-Grained Complexity and Algorithms for the Schulze Voting Method
Name
3465456.3467630.pdf
Description
Published version
Size
1.56 MB
Format
Adobe PDF
Checksum (MD5)
021a354c578af7da45addfd6f94bc6da
Author(s)
Sornat, Krzysztof
Vassilevska Williams, Virginia
Xu, Yinzhan
Date Issued
2021
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
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3465456.3467630
