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In statistics, response surface methodology (RSM) is a popular approach to stochastic optimization. RSM uses least-squares regression to construct local linear or quadratic approximations of the objective function. In standard practice, the objective function is assumed to be quadratic and several iterations using linear approximations culminate in a final iteration using a quadratic approximation...