Random Number Generators--Principles and Practices: A Guide for Engineers and Programmers

Random numbers come in many forms and distributions. Some represent measured data. Some are generated numbers intended to have a uniform distribution. Some are generated to have other distributions such as Gaussian (otherwise known as ’normal’, binomial, logarithmic or one of many other distributions. They may be represented at decimal numbers or in another base such as hexadecimal which is common in computer science. They may be fractional or floating point. Often they are displayed graphically to show some property. In this book we take a look at some of the more common distributions and forms.

Readers will learn:

• The different types of Random Number Generators
• The S/W tools used to generate random numbers
• Testing for randomness