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Random Number Generators--Principles and Practices - by David Johnston (Paperback)
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About this item
Highlights
- 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.
- About the Author: David Johnston, Principal Engineer, Intel Corporation
- 439 Pages
- Mathematics, Numerical Analysis
Description
About the Book
Random Numbers are widely used in many parts of life. They are used in simulations, lottery winner selections, cryptography, games, statistics, computer algorithms, graphics and many other places. The aim of this book is to help the reader understanBook Synopsis
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.
About the Author
David Johnston, Principal Engineer, Intel CorporationDimensions (Overall): 9.4 Inches (H) x 6.6 Inches (W) x 1.0 Inches (D)
Weight: 1.8 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 439
Genre: Mathematics
Sub-Genre: Numerical Analysis
Publisher: Deg Press
Format: Paperback
Author: David Johnston
Language: English
Street Date: September 10, 2018
TCIN: 91356759
UPC: 9781501515132
Item Number (DPCI): 247-09-5003
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 1 inches length x 6.6 inches width x 9.4 inches height
Estimated ship weight: 1.8 pounds
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