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  2. List of random number generators - Wikipedia

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

    Random number generators are important in many kinds of technical applications, including physics, engineering or mathematical computer studies (e.g., Monte Carlo simulations), cryptography and gambling (on game servers ). This list includes many common types, regardless of quality or applicability to a given use case.

  3. 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), is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers.

  4. Wikipedia:Random - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Random

    Random. On Wikipedia and other sites running on MediaWiki, Special:Random can be used to access a random article in the main namespace; this feature is useful as a tool to generate a random article. Depending on your browser, it's also possible to load a random page using a keyboard shortcut (in Firefox, Edge, and Chrome Alt-Shift + X ).

  5. Code-division multiple access - Wikipedia

    en.wikipedia.org/wiki/Code-division_multiple_access

    Multiplexing. Code-division multiple access ( CDMA) is a channel access method used by various radio communication technologies. CDMA is an example of multiple access, where several transmitters can send information simultaneously over a single communication channel. This allows several users to share a band of frequencies (see bandwidth ).

  6. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    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. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.

  7. Random permutation - Wikipedia

    en.wikipedia.org/wiki/Random_permutation

    unsigned uniform (unsigned m); /* Returns a random integer 0 <= uniform(m) <= m-1 with uniform distribution */ void initialize_and_permute (unsigned permutation [], unsigned n) {unsigned i; for (i = 0; i <= n-2; i ++) {unsigned j = i + uniform (n-i); /* A random integer such that i ≤ j < n */ swap (permutation [i], permutation [j]); /* Swap ...

  8. Linear code - Wikipedia

    en.wikipedia.org/wiki/Linear_code

    In coding theory, a linear code is an error-correcting code for which any linear combination of codewords is also a codeword. Linear codes are traditionally partitioned into block codes and convolutional codes, although turbo codes can be seen as a hybrid of these two types. [1]

  9. Pseudorandom generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_generator

    Pseudorandom generator. In theoretical computer science and cryptography, a pseudorandom generator (PRG) for a class of statistical tests is a deterministic procedure that maps a random seed to a longer pseudorandom string such that no statistical test in the class can distinguish between the output of the generator and the uniform distribution.

  10. List of hash functions - Wikipedia

    en.wikipedia.org/wiki/List_of_hash_functions

    Name Length Type Pearson hashing: 8 bits (or more) XOR/table Paul Hsieh's SuperFastHash: 32 bits Buzhash: variable XOR/table Fowler–Noll–Vo hash function

  11. Simulated annealing - Wikipedia

    en.wikipedia.org/wiki/Simulated_annealing

    Simulated annealing ( SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimization in a large search space for an optimization problem. For large numbers of local optima, SA can find the global optima. [1]