Analysis of Random Number Generators Using Monte Carlo Simulation
P.D. Coddington (Northeast Parallel Architectures Center, Syracuse, University, 111 College Place, Syracuse, NY, U.S.A.)
TL;DR
This paper evaluates various random number generators through Monte Carlo simulation, providing insights into their performance and reliability for computational tasks.
Contribution
It offers a revised analysis with updated comments and references on the performance of different random number generators.
Findings
Certain generators outperform others in simulation accuracy
Recommendations for selecting suitable generators are provided
The analysis confirms the importance of generator quality in Monte Carlo methods
Abstract
Revisions are almost entirely in the introduction and conclusion. Results are unchanged, however the comments and recommendations on different generators were changed, and more references were added.
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