व्हाट इस हिट एंड रन मेथड
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Hit-and-run is a Markov chain Monte Carlo (MCMC) sampling technique that iteratively generates a sequence of points in a set by taking steps of random length in randomly generated directions. Hit-and-run can be applied to virtually any bounded region in {\Re^n} , and has nice convergence properties.
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