以伪均匀随机数为基础，根据大数中心极限定理，产生高斯分布随机数。
Based on pseudo random uniformity number and the central limit theory of great numeral, random Numbers of Gaussian distribution are produced.
采用均匀随机数蒙特卡罗法计算多重积分是一种简单而有效的方法，其程序结构简单，易于编制和调试。
Monte Carlo method by adopting uniform random number is a simple and effective way to calculate multiple integrals, its structure is simple and easy to program and debug.
依据中心极限定理，用均匀分布随机数求和的方法得到趋于高斯分布的白噪声。
White noise tending to Gaussian distribution is implemented by summing uniformly distributed random numbers according to the central limit theorem.
对于改进型中心极限定理法，用概率密度转换器对均匀分布的随机数做密度转换，然后再累加产生正态分布的随机数。
With new Central Limit Theorem, convert the uniform random number's probability density using probability density Converter, then add all generated random Numbers.
对于改进型中心极限定理法，用概率密度转换器对均匀分布的随机数做密度转换，然后再累加产生正态分布的随机数。
With new Central Limit Theorem, convert the uniform random number's probability density using probability density Converter, then add all generated random Numbers.
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