• Intuitively, an algorithmically random sequence (or random sequence) is a sequence of binary digits that appears random to any algorithm running on a (prefix-free...
    33 KB (4,875 words) - 16:37, 11 May 2024
  • random bit generator (DRBG), is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers...
    26 KB (3,303 words) - 08:49, 21 October 2024
  • Thumbnail for Random number
    needed] Algorithmically random sequence Quasi-random sequence Random number generation Random sequence Random variable Random variate Random real Richard...
    4 KB (386 words) - 02:59, 14 October 2024
  • example, it is an algorithmically random sequence and thus its binary digits are evenly distributed (in fact it is normal). Algorithmic information theory...
    22 KB (2,582 words) - 21:36, 25 May 2024
  • Chaitin's constant (category Algorithmic information theory)
    enumerated. A real number is random if the binary sequence representing the real number is an algorithmically random sequence. Calude, Hertling, Khoussainov...
    17 KB (2,387 words) - 20:33, 27 September 2024
  • concept of a random sequence is essential in probability theory and statistics. The concept generally relies on the notion of a sequence of random variables...
    9 KB (1,191 words) - 00:02, 21 August 2024
  • NIST Statistical Test Suite Randomness Statistical randomness Algorithmically random sequence Seven states of randomness Wald–Wolfowitz runs test Wolfram...
    9 KB (1,112 words) - 18:41, 18 March 2024
  • A pseudorandom sequence of numbers is one that appears to be statistically random, despite having been produced by a completely deterministic and repeatable...
    7 KB (865 words) - 12:05, 1 October 2024
  • Thumbnail for 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...
    36 KB (4,419 words) - 15:23, 28 October 2024
  • Thumbnail for Fisher–Yates shuffle
    next element in the shuffled sequence by randomly drawing an element from the list until no elements remain. The algorithm produces an unbiased permutation:...
    39 KB (4,792 words) - 21:43, 24 October 2024
  • values of a low-discrepancy sequence are neither random nor pseudorandom, but such sequences share some properties of random variables and in certain applications...
    25 KB (4,259 words) - 22:43, 18 October 2024
  • Thumbnail for Randomness
    In common usage, randomness is the apparent or actual lack of definite pattern or predictability in information. A random sequence of events, symbols...
    34 KB (4,301 words) - 12:36, 17 June 2024
  • will produce the same sequence of numbers. For a seed to be used in a pseudorandom number generator, it does not need to be random. Because of the nature...
    2 KB (245 words) - 17:34, 23 September 2024
  • difficult to predict and exhibits statistical behavior similar to a truly random sequence. PRBS generators are used in telecommunication, such as in analog-to-information...
    8 KB (1,064 words) - 16:26, 5 February 2024
  • Thumbnail for Kolmogorov complexity
    randomness for infinite sequences from a finite alphabet. These algorithmically random sequences can be defined in three equivalent ways. One way uses an effective...
    55 KB (7,273 words) - 22:06, 22 August 2024
  • optimization algorithm Odds algorithm (Bruss algorithm): Finds the optimal strategy to predict a last specific event in a random sequence event Random Search...
    71 KB (7,829 words) - 19:14, 31 October 2024
  • Thumbnail for Algorithm
    In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ) is a finite sequence of mathematically rigorous instructions, typically used to solve...
    58 KB (6,735 words) - 18:51, 30 October 2024
  • Thumbnail for Claus P. Schnorr
    approach to the definition of an algorithmically random sequence which is alternative to the concept of Martin-Löf randomness. Schnorr was a professor of mathematics...
    3 KB (181 words) - 21:40, 24 March 2022
  • training set.: 587–588  The first algorithm for random decision forests was created in 1995 by Tin Kam Ho using the random subspace method, which, in Ho's...
    46 KB (6,483 words) - 22:02, 2 October 2024
  • Reservoir sampling (category Randomized algorithms)
    Reservoir sampling is a family of randomized algorithms for choosing a simple random sample, without replacement, of k items from a population of unknown...
    21 KB (3,514 words) - 00:25, 14 October 2024
  • theory, there exist several different notions of convergence of sequences of random variables, including convergence in probability, convergence in distribution...
    41 KB (5,280 words) - 21:51, 25 September 2024
  • Thumbnail for Sorting algorithm
    some algorithms are designed for sequential access, the highest-performing algorithms assume data is stored in a data structure which allows random access...
    68 KB (6,408 words) - 17:30, 26 September 2024
  • Thumbnail for De Bruijn sequence
    The Logic of Scientific Discovery (1934), calling them "shortest random-like sequences". Taking A = {0, 1}, there are two distinct B(2, 3): 00010111 and...
    32 KB (3,515 words) - 19:08, 29 October 2024
  • Thumbnail for Maze-solving algorithm
    A maze-solving algorithm is an automated method for solving a maze. The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be...
    20 KB (2,874 words) - 05:39, 23 July 2024
  • passing through the same sequence of states. Deterministic algorithms are by far the most studied and familiar kind of algorithm, as well as one of the...
    9 KB (965 words) - 21:18, 20 August 2024
  • Thumbnail for Per Martin-Löf
    invariant to the model of computation being used. An algorithmically random sequence is an infinite sequence of characters, all of whose prefixes (except possibly...
    27 KB (2,874 words) - 01:32, 5 October 2024
  • Thumbnail for Halton sequence
    is, appear to be random for many purposes. They were first introduced in 1960 and are an example of a quasi-random number sequence. They generalize the...
    7 KB (738 words) - 15:53, 4 April 2024
  • in games of chance and in randomized algorithms in coding theory, cryptography, and simulation. A good example of a random permutation is the fair shuffling...
    7 KB (835 words) - 18:28, 23 September 2024
  • Thumbnail for Metropolis–Hastings algorithm
    physics, the Metropolis–Hastings algorithm is a Markov chain Monte Carlo (MCMC) method for obtaining a sequence of random samples from a probability distribution...
    30 KB (4,535 words) - 20:02, 13 June 2024
  • science, cycle detection or cycle finding is the algorithmic problem of finding a cycle in a sequence of iterated function values. For any function f that...
    31 KB (4,183 words) - 21:18, 20 August 2024