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Perfect sampling of Ising spin glasses with bounding chains

Péron, Lukas et al.
arXiv (All) · Papers
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disordered-systems-and-neural-networksprobability
We study perfect sampling algorithms for Ising spin glasses based on coupling from the past and bounding chains, on several graph families and coupling distributions. For the single-site bounding chain, we establish coalescence in $O(n\log n)$ updates under Dobrushin conditions. On sparse random gra
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