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  2. List of random number generators - Wikipedia

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

    A modification of Marsaglia's Xorshift generators, one of the fastest generators on modern 64-bit CPUs. Related generators include xoroshiro128**, xoshiro256+ and xoshiro256**. 64-bit MELG (MELG-64) 2018 S. Harase, T. Kimoto [38] An implementation of 64-bit maximally equidistributed F 2-linear generators with Mersenne prime period. Squares RNG ...

  3. Mersenne Twister - Wikipedia

    en.wikipedia.org/wiki/Mersenne_Twister

    The Mersenne Twister is a general-purpose pseudorandom number generator (PRNG) developed in 1997 by Makoto Matsumoto (松本 眞) and Takuji Nishimura (西村 拓士). [1] [2] Its name derives from the choice of a Mersenne prime as its period length. The Mersenne Twister was designed specifically to rectify most of the flaws found in older PRNGs.

  4. Counter-based random number generator - Wikipedia

    en.wikipedia.org/wiki/Counter-based_random...

    In addition to Threefry and ARS, Salmon et al. described a third counter-based PRNG, Philox, based on wide multiplies; e.g. multiplying two 32-bit numbers and producing a 64-bit number, or multiplying two 64-bit numbers and producing a 128-bit number. As of 2020, Philox is popular on CPUs and GPUs.

  5. Xorshift - Wikipedia

    en.wikipedia.org/wiki/Xorshift

    Xorshift. Xorshift random number generators, also called shift-register generators, are a class of pseudorandom number generators that were invented by George Marsaglia. [1] They are a subset of linear-feedback shift registers (LFSRs) which allow a particularly efficient implementation in software without the excessive use of sparse polynomials ...

  6. Linear congruential generator - Wikipedia

    en.wikipedia.org/wiki/Linear_congruential_generator

    For Monte Carlo simulations, an LCG must use a modulus greater and preferably much greater than the cube of the number of random samples which are required. This means, for example, that a (good) 32-bit LCG can be used to obtain about a thousand random numbers; a 64-bit LCG is good for about 2 21 random samples (a little over two million), etc ...

  7. RDRAND - Wikipedia

    en.wikipedia.org/wiki/RdRand

    An astrophysical Monte Carlo simulator examined the time to generate 10 7 64-bit random numbers using RDRAND on a quad-core Intel i7-3740 QM processor. They found that a C implementation of RDRAND ran about 2× slower than the default random number generator in C, and about 20× slower than the Mersenne Twister .

  8. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    Dice are an example of a mechanical hardware random number generator. When a cubical die is rolled, a random number from 1 to 6 is obtained. Random number generation is a process by which, often by means of a random number generator (RNG), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated.

  9. MIXMAX generator - Wikipedia

    en.wikipedia.org/wiki/MIXMAX_generator

    MIXMAX generator. A pseudorandom number generator. The MIXMAX generator is a family of pseudorandom number generators (PRNG) and is based on Anosov C-systems ( Anosov diffeomorphism) and Kolmogorov K-systems ( Kolmogorov automorphism ). It was introduced in a 1986 preprint by G. Savvidy and N. Ter-Arutyunyan-Savvidy and published in 1991.