Random number generators : principles and practices: a guide for engineers and programmers

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Book Description

Programmers, hardware engineers, and sophisticated hobbyists who are interested in obtaining an understanding of random number generators and acquiring the skills necessary to work with random number generators with confidence and competence are the target audience for the book Random Number Generators, Principles and Practices. Random number-related subjects such as entropy estimate, entropy extraction, entropy sources, PRNGs, randomness testing, distribution creation, and many more are revealed and demystified through the utilization of an approach that emphasises the use of understandable diagrams and running code examples rather than an excessive amount of mathematics. If you have ever wondered how to determine whether or not the data is truly random, then you are in luck. necessary for determining the degree of unpredictability of data in real time while it is being generated Are you curious in how to incorporate randomness into your programs? I was curious about the reliability of a random number generator. Are they reliable? was interested in having the ability to select from a variety of random number generator options a requirement for transforming data that is uniformly random into a different distribution Important in order to guarantee that the random numbers generated by your computer will be suitable for use in your cryptography application I was interested in combining many random number generators in order to improve the reliability or security of the system. Wanted to obtain random integers in a format that used floating point and The verification of whether or not a random number generator satisfies the requirements of a published standard, such as SP800-90 or AIS 31, is considered necessary. if you were in a position where you needed to decide between an LCG, PCG, or XorShift algorithm, then this book might be good for you.