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“Green Simulation: Reusing the Output of Repeated Experiments” by Feng and Staum describes methods based on likelihood ratio or importance sampling theory for reusing the outputs of simulation experiments at previous parameter settings to augment and improve (by reducing the estimator variance) simulation experiments at new parameter settings. The article presents empirical results for two realistic examples in the area of finance; Matlab code for these examples was made available by the authors. The examples were straightforward to run without extensive knowledge of Matlab, and both experiment and scenario parameters can be altered easily. All experiment results in the article were reproduced.

Replicated Computations Results (RCR) Report for “Green Simulation: Reusing the Output of Repeated Experiments”