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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston :
Walter de Gruyter GmbH,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. If you have ever Wondered how to test if data is really random Needed to measure the randomness of data in real time as it is generated Wondered how to get randomness into your programs Wondered whether or not a random number generator is trustworthy Wanted to be able to choose between random number generator solutions Needed to turn uniform random data into a different distribution Needed to ensure the random numbers from your computer will work for your cryptographic application Wanted to combine more than one random number generator to increase reliability or security Wanted to get random numbers in a floating point format Needed to verify that a random number generator meets the requirements of a published standard like SP800-90 or AIS 31 Needed to choose between an LCG, PCG or XorShift algorithm Then this might be the book for you. |
| Beschreibung: | 1 online resource (xvi, 424 pages) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781501506062 1501506064 9781501506260 1501506269 |
Internformat
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| 505 | 0 | |6 880-01 |a Intro; 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. | |
| 520 | |a 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. If you have ever Wondered how to test if data is really random Needed to measure the randomness of data in real time as it is generated Wondered how to get randomness into your programs Wondered whether or not a random number generator is trustworthy Wanted to be able to choose between random number generator solutions Needed to turn uniform random data into a different distribution Needed to ensure the random numbers from your computer will work for your cryptographic application Wanted to combine more than one random number generator to increase reliability or security Wanted to get random numbers in a floating point format Needed to verify that a random number generator meets the requirements of a published standard like SP800-90 or AIS 31 Needed to choose between an LCG, PCG or XorShift algorithm Then this might be the book for you. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on October 22, 2018). | |
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| 650 | 4 | |a PRNG, Entropy, Extractors, Randomness, RNG. | |
| 650 | 4 | |a Zufallszahlengenerator. | |
| 650 | 6 | |a Générateurs de nombres aléatoires. | |
| 650 | 6 | |a Nombres aléatoires. | |
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| contents | Intro; 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. |
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| spelling | Johnston, David, author. Random number generators - principles and practices : a guide for engineers and programmers / David Johnston. Berlin ; Boston : Walter de Gruyter GmbH, [2018] 1 online resource (xvi, 424 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 880-01 Intro; 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. 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. If you have ever Wondered how to test if data is really random Needed to measure the randomness of data in real time as it is generated Wondered how to get randomness into your programs Wondered whether or not a random number generator is trustworthy Wanted to be able to choose between random number generator solutions Needed to turn uniform random data into a different distribution Needed to ensure the random numbers from your computer will work for your cryptographic application Wanted to combine more than one random number generator to increase reliability or security Wanted to get random numbers in a floating point format Needed to verify that a random number generator meets the requirements of a published standard like SP800-90 or AIS 31 Needed to choose between an LCG, PCG or XorShift algorithm Then this might be the book for you. Online resource; title from digital title page (viewed on October 22, 2018). Random number generators. http://id.loc.gov/authorities/subjects/sh85111351 Numbers, Random. http://id.loc.gov/authorities/subjects/sh85093219 Entropie. Extraktor. mittlerer Informationsgehalt. PRNG, Entropy, Extractors, Randomness, RNG. Zufallszahlengenerator. Générateurs de nombres aléatoires. Nombres aléatoires. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Numbers, Random fast Random number generators fast has work: Random Number Generators--Principles and Practices (Text) https://id.oclc.org/worldcat/entity/E39PD3D4WKX46yDXtCHqQ8xFcd https://id.oclc.org/worldcat/ontology/hasWork Print version: Johnston, David. Random Number Generators : Principles and Practice - A Guide for Engineers and Programmers. Boston : DEG Press, ©2018 9781501515132 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1893613 Volltext 505-01/(S 15. Making a Uniform Random Number Between Nonpower of Two Bounds16. 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. |
| spellingShingle | Johnston, David Random number generators - principles and practices : a guide for engineers and programmers / Intro; 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. Random number generators. http://id.loc.gov/authorities/subjects/sh85111351 Numbers, Random. http://id.loc.gov/authorities/subjects/sh85093219 Entropie. Extraktor. mittlerer Informationsgehalt. PRNG, Entropy, Extractors, Randomness, RNG. Zufallszahlengenerator. Générateurs de nombres aléatoires. Nombres aléatoires. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Numbers, Random fast Random number generators fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85111351 http://id.loc.gov/authorities/subjects/sh85093219 |
| title | Random number generators - principles and practices : a guide for engineers and programmers / |
| title_auth | Random number generators - principles and practices : a guide for engineers and programmers / |
| title_exact_search | Random number generators - principles and practices : a guide for engineers and programmers / |
| title_full | Random number generators - principles and practices : a guide for engineers and programmers / David Johnston. |
| title_fullStr | Random number generators - principles and practices : a guide for engineers and programmers / David Johnston. |
| title_full_unstemmed | Random number generators - principles and practices : a guide for engineers and programmers / David Johnston. |
| title_short | Random number generators - principles and practices : |
| title_sort | random number generators principles and practices a guide for engineers and programmers |
| title_sub | a guide for engineers and programmers / |
| topic | Random number generators. http://id.loc.gov/authorities/subjects/sh85111351 Numbers, Random. http://id.loc.gov/authorities/subjects/sh85093219 Entropie. Extraktor. mittlerer Informationsgehalt. PRNG, Entropy, Extractors, Randomness, RNG. Zufallszahlengenerator. Générateurs de nombres aléatoires. Nombres aléatoires. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Numbers, Random fast Random number generators fast |
| topic_facet | Random number generators. Numbers, Random. Entropie. Extraktor. mittlerer Informationsgehalt. PRNG, Entropy, Extractors, Randomness, RNG. Zufallszahlengenerator. Générateurs de nombres aléatoires. Nombres aléatoires. MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Numbers, Random Random number generators |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1893613 |
| work_keys_str_mv | AT johnstondavid randomnumbergeneratorsprinciplesandpracticesaguideforengineersandprogrammers |