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Fast algorithms at low temperatures via Markov chains†

  • Published:2020-10-05 Issue:2 Volume:58 Page:294-321
  • ISSN:1042-9832
  • Container-title:Random Structures & Algorithms
  • language:en
  • Short-container-title:Random Struct Alg

Author:

Chen Zongchen1,Galanis Andreas2,Goldberg Leslie A.2,Perkins Will3,Stewart James2,Vigoda Eric1

Affiliation:

1. School of Computer Science Georgia Institute of Technology Atlanta Georgia

2. Department of Computer Science University of Oxford Oxford United Kingdom

3. Department of Mathematics, Statistics, and Computer Science University of Illinois at Chicago Chicago Illinois

Funder

NSF

ERC

Publisher

Wiley

Subject

Applied Mathematics,Computer Graphics and Computer-Aided Design,General Mathematics,Software

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Cluster Expansion in Combinatorics;Surveys in Combinatorics 2024;2024-06-13

2. On the tractability of sampling from the Potts model at low temperatures via random-cluster dynamics;Probability Theory and Related Fields;2024-06-08

3. Algorithms for the ferromagnetic Potts model on expanders;Combinatorics, Probability and Computing;2024-04-05

4. Fast and Perfect Sampling of Subgraphs and Polymer Systems;ACM Transactions on Algorithms;2024-01-22

5. Sampling from the Potts model at low temperatures via Swendsen–Wang dynamics;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06
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