概率模型和伪随机数发生器是蒙特卡罗法中两个很重要的组成部分，它们决定了蒙特卡罗法的正确性和计算精度。
Probability models and pseudorandom number generators are two important component part of Monte Carlo method, and they influence the accuracy and correctness of the calculation.
因为伪随机数发生器的每一位是由三个不同的混沌轨道产生的，所以对攻击者来说，提取混沌系统信息是非常难的。
It is difficult for an eavesdropper to extract information about chaotic systems for every bit of pseudo-random number generator is generated from three different chaotic orbits.
什么是更好的(伪)的随机数发生器比彩票调度参数？
What are the better (pseudo) random number generator than the LCG for lottery scheduler?
采用随机数发生器结合给定的矩阵产生伪随机序列，实现了较强的嵌入强度系数。
Adopting randomizer and filter matrix produce the fake random sequence, having achieved much stronger embedding modulus.
该伪随机数是提供给发生器的输入序列值的复线性组合，与该输入值相关性很小。
The pseudo-random number is a complex, linear combination of values of input sequences provided to the generator and exhibits little correlation with such input values.
该伪随机数是提供给发生器的输入序列值的复线性组合，与该输入值相关性很小。
The pseudo-random number is a complex, linear combination of values of input sequences provided to the generator and exhibits little correlation with such input values.
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