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+ An implementation of a simulated annealing sampler.
+
+ A simulated annealing sampler can be used for approximate Boltzmann
+sampling or heuristic optimization. This implementation approaches
+the equilibrium distribution by performing updates at a sequence of
+increasing beta values, beta_schedule, terminating at the target
+beta. Each spin is updated once in a fixed order per point in the
+beta_schedule according to a Metropolis- Hastings update. When beta
+is large the target distribution concentrates, at equilibrium,
+over ground states of the model. Samples are guaranteed to match
+the equilibrium for long 'smooth' beta schedules.