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  2. Fisher–Yates shuffle - Wikipedia

    en.wikipedia.org/wiki/Fisher–Yates_shuffle

    Their description of the algorithm used pencil and paper; a table of random numbers provided the randomness. The basic method given for generating a random permutation of the numbers 1 through N goes as follows: Write down the numbers from 1 through N. Pick a random number k between one and the number of unstruck numbers remaining (inclusive).

  3. Mask generation function - Wikipedia

    en.wikipedia.org/wiki/Mask_generation_function

    Mask generation functions are deterministic; the octet string output is completely determined by the input octet string. The output of a mask generation function should be pseudorandom, that is, if the seed to the function is unknown, it should be infeasible to distinguish the output from a truly random string. [1]

  4. Pseudorandom generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_generator

    If a full derandomization is desired, a completely deterministic simulation proceeds by replacing the random input to the randomized algorithm with the pseudorandom string produced by the pseudorandom generator. The simulation does this for all possible seeds and averages the output of the various runs of the randomized algorithm in a suitable way.

  5. Random password generator - Wikipedia

    en.wikipedia.org/wiki/Random_password_generator

    A random password generator is a software program or hardware device that takes input from a random or pseudo-random number generator and automatically generates a password. Random passwords can be generated manually, using simple sources of randomness such as dice or coins , or they can be generated using a computer.

  6. Cryptographic hash function - Wikipedia

    en.wikipedia.org/wiki/Cryptographic_hash_function

    the probability of a particular -bit output result for a random input string ("message") is (as for any good hash), so the hash value can be used as a representative of the message; finding an input string that matches a given hash value (a pre-image ) is infeasible, assuming all input strings are equally likely.

  7. Cryptographically secure pseudorandom number generator

    en.wikipedia.org/wiki/Cryptographically_secure...

    In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...

  8. Bogosort - Wikipedia

    en.wikipedia.org/wiki/Bogosort

    import random # this function checks whether or not the array is sorted def is_sorted (random_array): for i in range (1, len (random_array)): if random_array [i] < random_array [i-1]: return False return True # this function repeatedly shuffles the elements of the array until they are sorted def bogo_sort (random_array): while not is_sorted (random_array): random. shuffle (random_array) return ...

  9. Universal hashing - Wikipedia

    en.wikipedia.org/wiki/Universal_hashing

    Consider two strings ¯, ¯ and let be length of the longer one; for the analysis, the shorter string is conceptually padded with zeros up to length . A collision before applying h i n t {\displaystyle h_{\mathrm {int} }} implies that a {\displaystyle a} is a root of the polynomial with coefficients x ¯ − y ¯ {\displaystyle {\bar {x}}-{\bar ...