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  2. Lehmer random number generator - Wikipedia

    en.wikipedia.org/wiki/Lehmer_random_number_generator

    The Lehmer random number generator [1] (named after D. H. Lehmer), sometimes also referred to as the Park–Miller random number generator (after Stephen K. Park and Keith W. Miller), is a type of linear congruential generator (LCG) that operates in multiplicative group of integers modulo n.

  3. List of random number generators - Wikipedia

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

    Lehmer generator: 1951 D. H. Lehmer [2] One of the very earliest and most influential designs. Linear congruential generator (LCG) 1958 W. E. Thomson; A. Rotenberg [3] [4] A generalisation of the Lehmer generator and historically the most influential and studied generator. Lagged Fibonacci generator (LFG) 1958 G. J. Mitchell and D. P. Moore [5]

  4. Linear congruential generator - Wikipedia

    en.wikipedia.org/wiki/Linear_congruential_generator

    The second row is the same generator with a seed of 3, which produces a cycle of length 2. Using a = 4 and c = 1 (bottom row) gives a cycle length of 9 with any seed in [0, 8]. A linear congruential generator (LCG) is an algorithm that yields a sequence of pseudo-randomized numbers calculated with a discontinuous piecewise linear equation.

  5. D. H. Lehmer - Wikipedia

    en.wikipedia.org/wiki/D._H._Lehmer

    In September 1949, he presented the pseudorandom number generator now known as the Lehmer random number generator. [4] D. H. Lehmer wrote the article "The Machine Tools of Combinatorics," which is the first chapter in Edwin Beckenbach's Applied Combinatorial Mathematics (1964). [5] It describes methods for producing permutations, combinations, etc.

  6. Multiply-with-carry pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Multiply-with-carry...

    An MWC generator is a special form of Lehmer random number generator = which allows efficient implementation of a prime modulus much larger than the machine word size. Normal Lehmer generator implementations choose a modulus close to the machine word size.

  7. Marsaglia's theorem - Wikipedia

    en.wikipedia.org/wiki/Marsaglia's_theorem

    In computational number theory, Marsaglia's theorem connects modular arithmetic and analytic geometry to describe the flaws with the pseudorandom numbers resulting from a linear congruential generator. As a direct consequence, it is now widely considered that linear congruential generators are weak for the purpose of generating random numbers.

  8. Trump keeps saying send water from the north to LA fires, but ...

    www.aol.com/trump-blames-newsom-biden-california...

    As several fires spread across Southern California, President-elect Donald Trump urged California Gov. Gavin Newsom to send water down south from Northern California despite some local officials ...

  9. Category:Pseudorandom number generators - Wikipedia

    en.wikipedia.org/wiki/Category:Pseudorandom...

    Lagged Fibonacci generator; Lehmer random number generator; Linear congruential generator; Linear-feedback shift register; M. Marsaglia polar method; Mersenne Twister;