Borgs, Christian, Chayes, Jennifer, Helmuth, Tyler, Perkins, Will, and Tetali, Prasad. Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures. Retrieved from https://par.nsf.gov/biblio/10168973. STOC 2020: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing . Web. doi:10.1145/3357713.3384271.

Borgs, Christian, Chayes, Jennifer, Helmuth, Tyler, Perkins, Will, & Tetali, Prasad. Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures. STOC 2020: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, (). Retrieved from https://par.nsf.gov/biblio/10168973. https://doi.org/10.1145/3357713.3384271

Borgs, Christian, Chayes, Jennifer, Helmuth, Tyler, Perkins, Will, and Tetali, Prasad. "Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures". STOC 2020: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing (). Country unknown/Code not available. https://doi.org/10.1145/3357713.3384271. https://par.nsf.gov/biblio/10168973.

@article{osti_10168973,
place = {Country unknown/Code not available}, title = {Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures}, url = {https://par.nsf.gov/biblio/10168973}, DOI = {10.1145/3357713.3384271}, abstractNote = {}, journal = {STOC 2020: Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing}, author = {Borgs, Christian and Chayes, Jennifer and Helmuth, Tyler and Perkins, Will and Tetali, Prasad}, }