Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET

  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Nuget packages
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Nuget packages
    • Configuration
    • Using Parallelism
    • Mathematics Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Data Access Library User's Guide
    • Reference
  • Mathematics Library User's Guide
    • General Classes
    • Mathematical Functions
    • Complex Numbers
    • Arbitrary Precision Arithmetic
    • Automatic Differentiation
    • Curves and Interpolation
    • Curve Fitting
    • Solving Equations
    • Optimization
    • Calculus
    • Fast Fourier Transforms
    • Random Numbers
    • Generic Arithmetic
    • Appendices
  • Random Numbers
    • Random Number Generators
    • Quasi-Random Sequences
    • Random Enumerators and Shufflers

Random Numbers

Extreme Optimization Numerical Libraries for .NET Professional

Random numbers are indispensable in applications like Monte Carlo simulations. The Extreme Optimization Numerical Libraries for .NET provide a full spectrum of random number generators, from the fast and simple to the slower but more robust. Classes are also available to generate pseudo-random sequences (Fauré, Sobol sequences) and to test data for randomness. All these classes reside in the Extreme.Mathematics.Random namespace.

In this section:

  • Random Number Generators
  • Random Enumerators and Shufflers
  • Quasi-Random Sequences

Copyright (c) 2004-2021 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2021, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.