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1 Ergebnisse
1
Efficient sampling and counting algorithms for the Potts mo..:
, In:
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing
,
Borgs, Christian
;
Chayes, Jennifer
;
Helmuth, Tyler
.. - p. 738-751 , 2020
Link:
https://dl.acm.org/doi/10.1145/3357713.3384271
RT T1
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing
: T1
Efficient sampling and counting algorithms for the Potts model on ℤᵈ at all temperatures
UL https://suche.suub.uni-bremen.de/peid=acm-3384271&Exemplar=1&LAN=DE A1 Borgs, Christian A1 Chayes, Jennifer A1 Helmuth, Tyler A1 Perkins, Will A1 Tetali, Prasad PB ACM YR 2020 K1 Potts model K1 approximate counting K1 cluster expansion K1 sampling K1 Theory of computation K1 Randomness, geometry and discrete structures K1 Generating random combinatorial structures K1 Design and analysis of algorithms SP 738 OP 751 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3357713.3384271 DO https://dl.acm.org/doi/10.1145/3357713.3384271 SF ELIB - SuUB Bremen
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