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  2. Fisher–Yates shuffle - Wikipedia

    en.wikipedia.org/wiki/Fisher–Yates_shuffle

    The Fisher–Yates shuffle is an algorithm for shuffling a finite sequence. The algorithm takes a list of all the elements of the sequence, and continually determines the next element in the shuffled sequence by randomly drawing an element from the list until no elements remain. [1] The algorithm produces an unbiased permutation: every ...

  3. List of ECMAScript engines - Wikipedia

    en.wikipedia.org/wiki/List_of_ECMAScript_engines

    An ECMAScript engine is a program that executes source code written in a version of the ECMAScript language standard, for example, JavaScript. Just-in-time compilation engines [ edit ] These are new generation ECMAScript engines for web browsers, all implementing just-in-time compilation (JIT) or variations of that idea.

  4. List of random number generators - Wikipedia

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

    A SWB generator is the basis for the RANLUX generator, widely used e.g. for particle physics simulations. Maximally periodic reciprocals: 1992 R. A. J. Matthews A method with roots in number theory, although never used in practical applications. KISS: 1993 G. Marsaglia Prototypical example of a combination generator. Multiply-with-carry (MWC)

  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. Code generation (compiler) - Wikipedia

    en.wikipedia.org/wiki/Code_generation_(compiler)

    In general, a syntax and semantic analyzer tries to retrieve the structure of the program from the source code, while a code generator uses this structural information (e.g., data types) to produce code. In other words, the former adds information while the latter loses some of the information.

  7. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    A pseudorandom number generator ( PRNG ), also known as a deterministic random bit generator ( DRBG ), [1] is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated sequence is not truly random, because it is completely determined by an initial value ...

  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. Generator (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Generator_(computer...

    In computer science, a generator is a routine that can be used to control the iteration behaviour of a loop. All generators are also iterators. A generator is very similar to a function that returns an array, in that a generator has parameters, can be called, and generates a sequence of values.