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Savings in time and money can be achieved through the use of a Monte Carlo swindle in place of unaided experimental sampling. A description is provided of a swindle currently in use which often achieves efficiencies of several orders of magnitude in terms of the number of samples needed to achieve a given precision. Data are provided to show some efficiencies actually observed.
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Alan M. Gross (1973) studied this question.
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