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The Swendsen–Wang algorithm is the first non-local or cluster algorithm for Monte Carlo simulation for large systems near criticality. It has been introduced by Robert Swendsen and Jian-Sheng Wang in 1987 at Carnegie Mellon.
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algorithm displaystyle ising model cluster spin beta systems probability monte carlo percolation algorithms bond nm first probabilities swendsen wang bibcode
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Swendsen–Wang algorithm | is a | first non-local or cluster algorithm for Monte Carlo simulation for large systems near criticality | 0.90 | text |
| the Metropolis | instance of | the SW algorithm is usually used in conjunction with single spin-flip algorithms | 0.80 | text |
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