Random number generators

ACM '59 Pub Date : 1959-09-01 DOI:10.1145/612201.612203
Martin Greenberger
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引用次数: 1

Abstract

One requirement common to all Monte Carlo computer simulations is an abundant and automatic supply of random numbers. For most purposes it generally suffices to draw this supply from the uniform distribution in the unit interval. The mathematical tricks used to convert these samplings to samplings from other distributions are well-known. Also well-known are the reasons for preferring an arithmetic process on a digital computer to stored tables,or to analogue methods, as a source of random numbers.
随机数生成器
所有蒙特卡罗计算机模拟的一个共同要求是大量和自动提供随机数。对于大多数用途,通常从单位间隔内的均匀分布中得出这个供应就足够了。将这些样本转换为来自其他分布的样本的数学技巧是众所周知的。同样众所周知的是,人们更喜欢数字计算机上的算术过程,而不是存储表或模拟方法,作为随机数的来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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