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 app...
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| Format: | eBook |
| Language: | English |
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Berlin ; Boston
De Gruyter
2018
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| Collection: | DeGruyter MPG Collection - Collection details see MPG.ReNa |
Table of Contents:
- Frontmatter
- About De/G PRESS
- Contents
- Preface
- 1. Introduction
- 2. Entropy Sources
- 3. Entropy Extraction
- 4. Cryptographically Secure Pseudorandom Number Generators
- 5. Nondeterministic Random Number Generators
- 6. Statistically Uniform Noncryptographic PRNGs
- 7. Gaussian or Normally Distributed PRNGs
- 8. Testing Random Numbers
- 9. Online Random Number Testing
- 10. SP800-22 Distinguishability Tests
- 11. Software Tools
- 12. RdRand and RdSeed Instructions in x86 CPUs
- 13. Accessing RNGs from Software
- 14. Floating-Point Random Numbers
- 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. High-Precision Incomplete Beta Function Implementation
- Appendix C. Incomplete Gamma Function Implementation
- Appendix D. Software Tool Sources
- Appendix E. Listing Reference
- Bibliography
- Index