Random Number Generators—Principles and Practices: A Guide for Engineers and Programmers
Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in understanding random numbers generators and gaining the tools necessary to work with random number generators with confidence and knowledge.
Using an approach that employs clear diagrams and running code examples rather than excessive mathematics, random number related topics such as entropy estimation, entropy extraction, entropy sources, PRNGs, randomness testing, distribution generation, and many others are exposed and demystified.
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15 Making a Uniform Random Number Between Nonpower of Two Bounds
16 Generating Random Prime Numbers
17 Additive Distributions
18 Probability Distributions
19 Quantifying Entropy
20 Random Methods to Generate π
Appendix A Adaptive Proportion Test Cutoff Tables
Appendix B HighPrecision Incomplete Beta Function Implementation
9 Online Random Number Testing
10 SP80022 Distinguishability Tests
11 Software Tools
12 RdRand and RdSeed Instructions in x86 CPUs
13 Accessing RNGs from Software
14 FloatingPoint Random Numbers