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Variance reduction in Monte Carlo sampling-based optimality gap estimators for two-stage stochastic linear programming
This paper presents a comparative computational study of the variance reduction techniques antithetic variates and Latin hypercube sampling when used for assessing solution quality in stochastic programming. T...