Advanced Chemical Engineering Science
The metropolis algorithm is a Monte Carlo method used for obtaining a sequence of random samples from a probability distribution. It is particularly effective in situations where direct sampling is challenging. By using a proposal distribution and accepting or rejecting moves based on a calculated acceptance probability, the algorithm can explore the state space efficiently and converge towards the desired distribution.
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