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A faster method for sampling independent sets
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Source Symposium on Discrete Algorithms archive
Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms table of contents
San Francisco, California, United States
Pages: 625 - 626  
Year of Publication: 2000
ISBN:0-89871-453-2
Author
Mark Huber  Department of Statistics, Stanford University, Stanford, CA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIAM : Society for Industrial and Applied Mathematics
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 22,   Citation Count: 1
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
W. Doeblin. Expos6 de la th6orie des chains simples constantes de Markov h un hombre tint d'~tats. Rev. Math. de l'Union Interbalkanique, 2:77-105, 1933.
 
2
Martin Dyer, Alan Frieze, and Mark Jerrum. On counting independent sets in sparse graphs. Technical Report ECS-LFCS-98-391, Univ. of Edinburgh, 1998.
 
3
Martin Dyer and Catherine GreenhiU. On Markov cJaains for independent sets. Preprint, 1997.
 
4
Olle HiiggstrSm and Karin Nelander. Exact sampling from anti-monotone systems, 1997. Preprint.
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9
Barry Simon. The Statistical Mechanics of Lattice Gasses, volume 1. Princeton University Press, 1993.
 
10
Eric Vigoda. Fast convergence of the Glauber dynamics for sampling independent sets: Part II. Technical Report TR-99-003, International Computer Science Institute, January 1998.