Random Variables

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mXparser provides a rich collection of built-in math functions, math expressions, and math symbols. Familiarize yourself with the scope and the syntax. Math collection internal help is also available directly from the software – see the tutorial and the API documentation for all the details. The math collection library is available at runtime and is fully and identically supported by the Java (including Kotlin, Android), C# (all .NET) and C++ versions.

Tutorial Math Collection API spec Download

mXparser – built-in Random Variables

Keyword	Type	Syntax	Since	Description
[Uni]	Random variable	[Uni]	3.0	Uniform continuous distribution U(0,1) – Random variable
[Int]	Random variable	[Int]	3.0	Random integer – Random variable
[Int1]	Random variable	[Int1]	3.0	Uniform discrete distribution – Random integer U{-10¹,10¹} – Random variable
[Int2]	Random variable	[Int2]	3.0	Uniform discrete distribution – Random integer U{-10²,10²} – Random variable
[Int3]	Random variable	[Int3]	3.0	Uniform discrete distribution – Random integer U{-10³,10³} – Random variable
[Int4]	Random variable	[Int4]	3.0	Uniform discrete distribution – Random integer U{-10⁴,10⁴} – Random variable
[Int5]	Random variable	[Int5]	3.0	Uniform discrete distribution – Random integer U{-10⁵,10⁵} – Random variable
[Int6]	Random variable	[Int6]	3.0	Uniform discrete distribution – Random integer U{-10⁶,10⁶} – Random variable
[Int7]	Random variable	[Int7]	3.0	Uniform discrete distribution – Random integer U{-10⁷,10⁷} – Random variable
[Int8]	Random variable	[Int8]	3.0	Uniform discrete distribution – Random integer U{-10⁸,10⁸} – Random variable
[Int9]	Random variable	[Int9]	3.0	Uniform discrete distribution – Random integer U{-10⁹,10⁹} – Random variable
[nat]	Random variable	[nat]	3.0	Random natural number including 0 – Random variable
[nat1]	Random variable	[nat1]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10¹} – Random variable
[nat2]	Random variable	[nat2]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10²} – Random variable
[nat3]	Random variable	[nat3]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10³} – Random variable
[nat4]	Random variable	[nat4]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10⁴} – Random variable
[nat5]	Random variable	[nat5]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10⁵} – Random variable
[nat6]	Random variable	[nat6]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10⁶} – Random variable
[nat7]	Random variable	[nat7]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10⁷} – Random variable
[nat8]	Random variable	[nat8]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10⁸} – Random variable
[nat9]	Random variable	[nat9]	3.0	Uniform discrete distribution – Random natural number including 0 U{0,10⁹} – Random variable
[Nat]	Random variable	[Nat]	3.0	Random natural number – Random variable
[Nat1]	Random variable	[Nat1]	3.0	Uniform discrete distribution – Random natural number U{1,10¹} – Random variable
[Nat2]	Random variable	[Nat2]	3.0	Uniform discrete distribution – Random natural number U{1,10²} – Random variable
[Nat3]	Random variable	[Nat3]	3.0	Uniform discrete distribution – Random natural number U{1,10³} – Random variable
[Nat4]	Random variable	[Nat4]	3.0	Uniform discrete distribution – Random natural number U{1,10⁴} – Random variable
[Nat5]	Random variable	[Nat5]	3.0	Uniform discrete distribution – Random natural number U{1,10⁵} – Random variable
[Nat6]	Random variable	[Nat6]	3.0	Uniform discrete distribution – Random natural number U{1,10⁶} – Random variable
[Nat7]	Random variable	[Nat7]	3.0	Uniform discrete distribution – Random natural number U{1,10⁷} – Random variable
[Nat8]	Random variable	[Nat8]	3.0	Uniform discrete distribution – Random natural number U{1,10⁸} – Random variable
[Nat9]	Random variable	[Nat9]	3.0	Uniform discrete distribution – Random natural number U{1,10⁹} – Random variable
[Nor]	Random variable	[Nor]	3.0	Normal distribution N(0,1) – Random variable

as of 2023-01-29

Nuget – Package Manager (C#, F#, Visual Basic, …)

Install-Package MathParser.org-mXparser -Version 6.1.0

Nuget – .NET CLI

dotnet add package MathParser.org-mXparser --version 6.1.0

Nuget – Package Reference

<PackageReference Include="MathParser.org-mXparser" Version="6.1.0"/>

Maven – Dependency (Java, Kotlin, Scala, Groovy, …)

<dependency> <groupid>org.mariuszgromada.math</groupid> <artifactid>MathParser.org-mXparser</artifactid> <version>6.1.0</version> </dependency>

Maven – Gradle

implementation 'org.mariuszgromada.math:MathParser.org-mXparser:6.1.0'

CMake – Dependency / FetchContent (C++, MSVC, LLVM/Clang, GNU/GCC, MinGW, MSYS2, WSL, Windows, Linux, Unix, MacOS)

include(FetchContent) FetchContent_Declare(MathParserOrgMxParserGIT_REPOSITORYhttps://github.com/mariuszgromada/MathParser.org-mXparser.gitGIT_TAGv.6.1.0SOURCE_SUBDIR CURRENT/cpp/lib ) FetchContent_MakeAvailable(MathParserOrgMxParser) target_link_libraries(YourExecutableMathParserOrgMxParser)