一阶和二阶PMD的多重重要抽样

H. Bulow, S. L. Fogal, G. Biondini, W. Kath
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引用次数: 7

摘要

我们已经证明了一种仿真方法,不仅可以有效地生成大的一阶和二阶PMD,而且还可以生成其中一个大而另一个小的组合。此外,使用重要性抽样可以准确地确定相关的概率分布,即使是非常罕见的事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple importance sampling for first- and second-order PMD
We have demonstrated a simulation method that can efficiently generate not only large first- and second-order PMD, but also combinations where one of the two is large and the other is small. Furthermore, the use of importance sampling allows the accurate determination of the associated probability distribution, even for very rare events.
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