Troschuetz.Random
3.2.0
dotnet add package Troschuetz.Random --version 3.2.0
NuGet\Install-Package Troschuetz.Random -Version 3.2.0
<PackageReference Include="Troschuetz.Random" Version="3.2.0" />
<PackageVersion Include="Troschuetz.Random" Version="3.2.0" />
<PackageReference Include="Troschuetz.Random" />
paket add Troschuetz.Random --version 3.2.0
#r "nuget: Troschuetz.Random, 3.2.0"
#:package Troschuetz.Random@3.2.0
#addin nuget:?package=Troschuetz.Random&version=3.2.0
#tool nuget:?package=Troschuetz.Random&version=3.2.0
Fully managed library providing various random number generators and distributions.
More precisely, this library offers four generators (ALF, MT19937, Standard, XorShift128), six discrete distributions (Bernoulli, Binomial, Categorical, DiscreteUniform, Geometric, Poisson) and twenty continuous distributions (like Normal, Exponential, ChiSquare, Beta, and so on); moreover, it offers a random class similar to the one Python offers (TRandom).
All the hard work behind this library was done by Stefan Troschütz, and for which I thank him very much. What I have done with his great project, was simply to refactor and improve his code, while offering the new random class similar to the one Python offers.
You can find the modified source code and the available documentation at the project URL.
NOTICE: If you need more performance, please have a look at the Troschuetz.Random.Unchecked package. It is a release where all integrity checks have been stripped away.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET Framework | net40-client is compatible. |
This package has no dependencies.
GitHub repositories (2)
Showing the top 2 popular GitHub repositories that depend on Troschuetz.Random:
| Repository | Stars |
|---|---|
|
GoodAI/BrainSimulator
Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.
|
|
|
FlorianRappl/Mages
:tophat: MAGES is a very simple, yet powerful, expression parser and interpreter.
|
* Generators and distributions are now serializable.