Titlebook: Random Numbers and Computers; Ronald T. Kneusel Textbook 2018 Springer International Publishing AG, part of Springer Nature 2018 Random Nu

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Testing Pseudorandom Generators, apply them to the generators discussed in Chap. .. Next we investigate two popular test suites: dieharder (based on the older DIEHARD) and TestU01, and one quick test program (ent). These test suites are the benchmarks against which researchers generally measure new algorithms.

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Cryptographically Secure Pseudorandom Number Generators, high quality pseudorandom values. In this chapter, we explore four of these generators, one for historical purposes (Blum Blum Shub) and three that are considered secure and are in current use: ISAAC, Fortuna, and ChaCha20.

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Other Random Sequences,icality of such sequences for use where pseudorandom generators are typically used, but instead present them for fun as they are interesting in their own right. We will look at the randomness of the digits in base 10 and base 16 expansions of numbers that are known to be normal or believed to be nor

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Textbook 2018Computers. is an essential introduction or refresher on pseudorandom numbers in computer science...?The first comprehensive book on the topic, readers are provided with a practical introduction to the techniques of pseudorandom number generation, including how the algorithms work and how to test the

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DEMUR

Random and Pseudorandom Sequences,mans are bad at randomness. Pseudorandom sequences are introduced next, along with an experiment showing that the quality of a pseudorandom sequence matters. We conclude with a quick look at hardware random number generation as supported by modern CPUs.