It is shown that by combining GM (1, 1) with the addition generation of random Numbers, can be employed to predicts the time of forthcoming abnormal seasonal precipitation.
将GM(1,1)模型与随机数据的累加生成相结合，对未来异常降水发生时刻作预测。
The graphs show throughput (in rolls per second) for random number generation using various numbers of threads on an 8-way Ultrasparc3 box and a single-processor Pentium 4 box.
这些图显示了在 8-way Ultrasparc3 和单处理器 Pentium 4 上使用不同数量线程的随机发生的吞吐量（以每秒转数为单位）。
As a consequence, any Monte Carlo method relies on the generation of a sequence of random Numbers with given distribution probabilities.
因此，蒙特卡罗方法依赖于根据给定分布概率产生的一系列随机数。
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