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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/77367

    Title: 幾種常見的亂數產生器所產生的亂數的基本統計性質
    Other Titles: Basic statistical properties of random numbers obtained from some often used random number generators
    Authors: 汪長榮;Wang, Chang-Jung
    Contributors: 淡江大學物理學系碩士班
    周子聰;Zhou, Zicong
    Keywords: 亂數產生器;分佈函數;關聯函數;;中心矩;序列長度;樣品數;randum number generator;distribution function;correlation function;moment;center moment;sequence length;number of samples
    Date: 2012
    Issue Date: 2012-06-21 06:37:16 (UTC+8)
    Abstract: 我們計算了幾種常見的亂數產生器的基本性質,用以比較這些亂數產生器。我們考察了5種均勻分佈的亂數產生器:ran0、ran1、ran2、ranmar與roulet,以及由這些均勻亂數產生器衍生的指數分佈、高斯分佈的亂數產生器。其中高斯分佈的數據中,我們採用了兩種不同的產生高斯分佈的方法,原理上其中一種將得到嚴格的高斯分佈序列(gas1),而另一種應得到近似的高斯分佈序列(gas2)。
    We evaluate some basic properties of several often used random number generators. We examine five uniform random number generators named ran0, ran1, ran2, ranmar and roulet. We also analyze the random number generators with exponential and Gaussian distribution. In calculation, we use two different methods to generate Gaussian distribution. In principle one (named gas1) produces exact Gaussian sequence, and the other (named gas2) yields approximate Gaussian sequence.
    Especially, we evaluate the distribution functions, correlation functions [C1(k) and C2(k)], first to fourth moments and first to fourth center moments of the sequences obtained from the above generators. We find that for distribution functions, the square deviations from theoretical values decays in power law with increasing sequence length. For the exact Gaussian generator which is derived from Roulet, the square deviation of the colleration functions from theoretical values also decays in power law. Tne index of the power law is close to -1. For the uniform and exponential distribution, we find that roulet output the best distribution function, but the worst correlation function. Moreover, we do not find obvious difference for the sequences obtained from ran0, ran1, ran2 and ranmar. Similarly, there is also little difference for the sequences of gas1 and gas2 which are converted from the ran0, ran1, ran2 and ranmar. In contrast, for the Gaussian sequences converted from roulet, the exact method results in better result than the approximate method.
    Appears in Collections:[Graduate Institute & Department of Physics] Thesis

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