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Random number generators for microcomputers.

W Rosenbaum, J Syrotuik, R Gordon

Computer Programs in Biomedicine

|June 1, 1983

Summary

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This study evaluates random number generation algorithms for microcomputers. A modified Fibonacci generator is recommended for its statistical randomness and suitability in microcomputer environments.

Area of Science:

Computer Science
Statistics
Algorithm Analysis

Background:

Microcomputers require efficient random number generation for various applications.
Evaluating the statistical properties of random number generators is crucial for reliable simulations and data analysis.

Purpose of the Study:

To assess the feasibility of random number generation on microcomputers.
To evaluate the appropriateness of different random number generation algorithms based on statistical randomness criteria.

Main Methods:

Analysis of various random number generation algorithms.
Evaluation of algorithms using statistical randomness criteria.
Comparative assessment of algorithm deficiencies.

Main Results:

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Identified relative deficiencies in commonly used algorithms.
Demonstrated the statistical inadequacies of certain generators for microcomputer use.

Conclusions:

A modified Fibonacci generator is proposed as a suitable algorithm for microcomputers.
The recommended generator offers improved statistical randomness for the microcomputer environment.