Added distributions

README.md

@@ -1,3 +1,124 @@
 # FastRng
 
-A fast random number generator
+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