Abstract
The main techniques for random varlate generation were developed in chapters II and III. These will be supplemented in this chapter with a host of other techniques: these include historically important methods (such as the Forsythe-von Neumann method), methods based upon specific properties of the uniform distribution (such as the polar method for the normal density), methods for densities that are given as convergent series (the series method) and methods that have proven particularly successful for many distributions (such as the ratlo-of-unlforms method).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1986 Springer Science+Business Media New York
About this chapter
Cite this chapter
Devroye, L. (1986). Specialized Algorithms. In: Non-Uniform Random Variate Generation. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8643-8_4
Download citation
DOI: https://doi.org/10.1007/978-1-4613-8643-8_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4613-8645-2
Online ISBN: 978-1-4613-8643-8
eBook Packages: Springer Book Archive