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@ -280,7 +280,7 @@ in an array.
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\end{algorithmic}
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\end{algorithm}
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The Markov process reaches an equilibrium after a certain number of Monte Carlo cycles,
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called burn-in time. After the burn-in time, the system state reflects the state of a real system.
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called burn-in time. After the burn-in time, the system state reflects the state of a real system,
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and we can start sampling microstates. The probability distribution of the samples
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will tend toward the actual probability distribution of the system.
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