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