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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Reverse Monte Carlo (RMC) is a variation of the standard Metropolis-Hastings algorithm to solve an inverse problem probing the configuration space though a random walk in search for set of parameters that is consistent with experimental data. An inverse problem is the task that often occurs in many branches of science and mathematics where the values of some model parameter(s) must be obtained from the observed data.