Generation of Pseudo-Random Numbers

Abstract

The generation of pseudo-random numbers from specified probability distributions has found extensive application in Monte Carlo simulations. Because these simulations often require a large number of calculations, the time required to generate pseudo-random numbers has become a major factor. At the same time it is essential to guarantee accuracy and statistical randomness of the sequence of generated numbers. This report provides practical methods for generating acceptable random numbers from a variety of probability distributions which are frequently encountered in engineering applications.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA329500

Entities

People

  • Leonard W. Howell
  • Mario H. Rheinfurth

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Programs
  • Computers
  • Data Science
  • Demographic Cohorts
  • Discrete Distribution
  • Distribution Functions
  • Engineering
  • Generators
  • Information Science
  • Normal Distribution
  • Probability
  • Probability Density Functions
  • Random Number Generators
  • Random Variables
  • Reliability
  • Simulations
  • Social Sciences

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Programming and Software Development.
  • Regression Analysis.