FastRng/README.md

# FastRng

FastRng is a multi-threaded pseudo-random number generator. Besides the generation of uniformly distributed random numbers, there are several other distributions to choose from. For performance reasons the parameters of the distributions are not user-definable. For some distributions, therefore, different parameter variations are available. If a different combination is desired, a separate class can be created.

## Available Distributions

### Normal Distribution (std. dev.=0.2, mean=0.5)
![](images/normal.png)

Wikipedia: https://en.wikipedia.org/wiki/Normal_distribution


### Beta Distribution (alpha=2, beta=2)
![](images/beta-a2b2.png)

Wikipedia: https://en.wikipedia.org/wiki/Beta_distribution


### Beta Distribution (alpha=2, beta=5)
![](images/beta-a2b5.png)

Wikipedia: https://en.wikipedia.org/wiki/Beta_distribution


### Beta Distribution (alpha=5, beta=2)
![](images/beta-a5b2.png)

Wikipedia: https://en.wikipedia.org/wiki/Beta_distribution


### Cauchy / Lorentz Distribution (x0=0)
![](images/cauchy-lorentz-x0.png)

Wikipedia: https://en.wikipedia.org/wiki/Cauchy_distribution


### Cauchy / Lorentz Distribution (x0=1)
![](images/cauchy-lorentz-x1.png)

Wikipedia: https://en.wikipedia.org/wiki/Cauchy_distribution


### Chi-Square Distribution (k=1)
![](images/chi-square-k1.png)

Wikipedia: https://en.wikipedia.org/wiki/Chi-square_distribution


### Chi-Square Distribution (k=4)
![](images/chi-square-k4.png)

Wikipedia: https://en.wikipedia.org/wiki/Chi-square_distribution


### Chi-Square Distribution (k=10)
![](images/chi-square-k10.png)

Wikipedia: https://en.wikipedia.org/wiki/Chi-square_distribution


### Exponential Distribution (lambda=5)
![](images/exponential-la5.png)

Wikipedia: https://en.wikipedia.org/wiki/Exponential_distribution


### Exponential Distribution (lambda=10)
![](images/exponential-la10.png)

Wikipedia: https://en.wikipedia.org/wiki/Exponential_distribution


### Inverse Exponential Distribution (lambda=5)
![](images/inverse-exponential-la5.png)

Wikipedia: https://en.wikipedia.org/wiki/Inverse_distribution#Inverse_exponential_distribution


### Inverse Exponential Distribution (lambda=10)
![](images/inverse-exponential-la10.png)

Wikipedia: https://en.wikipedia.org/wiki/Inverse_distribution#Inverse_exponential_distribution


### Gamma Distribution (alpha=5, beta=15)
![](images/gamma-a5b15.png)

Wikipedia: https://en.wikipedia.org/wiki/Gamma_distribution


### Inverse Gamma Distribution (alpha=3, beta=0.5)
![](images/inverse-gamma-a3b05.png)

Wikipedia: https://en.wikipedia.org/wiki/Inverse-gamma_distribution


### Laplace Distribution (b=0.1, mu=0)
![](images/laplace-b01m0.png)

Wikipedia: https://en.wikipedia.org/wiki/Laplace_distribution


### Laplace Distribution (b=0.1, mu=0.5)
![](images/laplace-b01m05.png)

Wikipedia: https://en.wikipedia.org/wiki/Laplace_distribution


### Log-Normal Distribution (sigma=1, mu=0)
![](images/log-normal-s1m0.png)

Wikipedia: https://en.wikipedia.org/wiki/Log-normal_distribution


### StudentT Distribution (nu=1)
![](images/student-t-nu1.png)

Wikipedia: https://en.wikipedia.org/wiki/Student%27s_t-distribution


### Weibull Distribution (k=0.5, lambda=1)
![](images/weibull-k05la1.png)

Wikipedia: https://en.wikipedia.org/wiki/Weibull_distribution