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Introduction
Deployment Guide
Using Parallelism
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  • Statistics Library User's Guide
    • Statistical Variables
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    • Random Numbers
    • Appendices
  • Random Numbers
    • Random Number Generators
    • Quasi-Random Sequences
    • Random Enumerators and Shufflers
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Random Numbers

Random numbers are indispensable in applications like Monte Carlo simulations. The Extreme Optimization Statistics Library for .NET provides 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 (Faur sequences) and to test data for randomness. All these classes reside in the Extreme.Statistics.Random namespace.

In this section:

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

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