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Metropolis Algorithm

One of Monte Carlo methods to arrive at a stable solution

Start with a random initial configuration

Suggest a change with probability p

Accept the change with probability q

Generate a random number from a random number generator of uniform distribution between 0 and 1

Let the action be carried out if the random number generated < probability of action

Reiterate process starting again by suggesting a change

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