The Generation of Pseudo-Random Numbers on a Decimal Calculator
Journal of the ACM (JACM)
Approximations for Digital Computers
Approximations for Digital Computers
Normal Random Numbers: Using Machine Analysis to Choose the Best Algorithm
ACM Transactions on Mathematical Software (TOMS)
A comparison of multivariate normal generators
Communications of the ACM
Algorithm 334: Normal random deviates
Communications of the ACM
Remark on algorithm 178: Direct search
Communications of the ACM
ANSS '81 Proceedings of the 14th annual symposium on Simulation
Stochastic sensitivity analysis of linear programs by simulation techniques
Proceedings of the fourth annual conference on Applications of simulation
A Gaussian Noise Generator for Hardware-Based Simulations
IEEE Transactions on Computers
Gaussian random number generators
ACM Computing Surveys (CSUR)
A compact and accurate Gaussian variate generator
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Two methods recently developed for generating normal deviates within a computer are reviewed along with earlier proposals. A comparison of the various methods for application on an IBM 704 is given. The new direct method gives higher accuracy than previous methods of comparable speed. The detailed inverse technique proposed yields accuracy comparable with, or better than, most previous proposals using about one-quarter the computing time.