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  2. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.

  3. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    A pseudorandom number generator (PRNG) is an algorithm that produces a sequence of numbers that resemble random numbers, but are completely determined by an initial value. Learn about the properties, applications, and potential issues of PRNGs, as well as the difference between PRNGs and cryptographically secure PRNGs (CSPRNGs).

  4. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    Learn about the process and methods of generating random numbers or symbols that cannot be reasonably predicted better than by random chance. Compare true random number generators (RNGs) and pseudorandom number generators (PRNGs) and their applications in various fields.

  5. Rule 30 - Wikipedia

    en.wikipedia.org/wiki/Rule_30

    Rule 30 is a simple rule that produces complex patterns from two states and three neighbors. Learn about its structure, properties, applications, and how to program it in C++.

  6. ISAAC (cipher) - Wikipedia

    en.wikipedia.org/wiki/ISAAC_(cipher)

    ISAAC (indirection, shift, accumulate, add, and count) is a cryptographically secure pseudorandom number generator and a stream cipher designed by Robert J. Jenkins Jr. in 1993. [1] The reference implementation source code was dedicated to the public domain. [2] "I developed (...) tests to break a generator, and I developed the generator to ...

  7. Randomness test - Wikipedia

    en.wikipedia.org/wiki/Randomness_test

    Learn how to test the randomness of a set of data or a number generator using various statistical tests, transforms, and complexity measures. See the list of common and widely used random number generators and their performance on different tests.

  8. Random number - Wikipedia

    en.wikipedia.org/wiki/Random_number

    Learn about random numbers, how they are generated, and how they are used in algorithms, encryption, and statistics. Find out the common understanding and real world consequences of randomness.

  9. Middle-square method - Wikipedia

    en.wikipedia.org/wiki/Middle-square_method

    A method of generating pseudorandom numbers by squaring an n-digit seed and taking the middle n digits as the next seed. The method has a short period and many weaknesses, and was invented by John von Neumann in 1949.