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  2. Category:Randomized algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Randomized_algorithms

    Download as PDF; Printable version; In other projects Wikidata item; ... Pages in category "Randomized algorithms" The following 44 pages are in this category, out of ...

  3. Randomized algorithm - Wikipedia

    en.wikipedia.org/wiki/Randomized_algorithm

    A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random determined by the random bits; thus either the running time, or the output (or both) are ...

  4. Las Vegas algorithm - Wikipedia

    en.wikipedia.org/wiki/Las_vegas_algorithm

    Las Vegas algorithms were introduced by László Babai in 1979, in the context of the graph isomorphism problem, as a dual to Monte Carlo algorithms. [3] Babai [4] introduced the term "Las Vegas algorithm" alongside an example involving coin flips: the algorithm depends on a series of independent coin flips, and there is a small chance of failure (no result).

  5. Random optimization - Wikipedia

    en.wikipedia.org/wiki/Random_optimization

    The basic RO algorithm can then be described as: Initialize x with a random position in the search-space. Until a termination criterion is met (e.g. number of iterations performed, or adequate fitness reached), repeat the following: Sample a new position y by adding a normally distributed random vector to the current position x

  6. Monte Carlo algorithm - Wikipedia

    en.wikipedia.org/wiki/Monte_carlo_algorithm

    In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are the Karger–Stein algorithm [ 1 ] and the Monte Carlo algorithm for minimum feedback arc set .

  7. Greedy randomized adaptive search procedure - Wikipedia

    en.wikipedia.org/wiki/Greedy_randomized_adaptive...

    The greedy randomized adaptive search procedure (also known as GRASP) is a metaheuristic algorithm commonly applied to combinatorial optimization problems. GRASP typically consists of iterations made up from successive constructions of a greedy randomized solution and subsequent iterative improvements of it through a local search . [ 1 ]

  8. List update problem - Wikipedia

    en.wikipedia.org/wiki/List_update_problem

    The List Update or the List Access problem is a simple model used in the study of competitive analysis of online algorithms.Given a set of items in a list where the cost of accessing an item is proportional to its distance from the head of the list, e.g. a linked List, and a request sequence of accesses, the problem is to come up with a strategy of reordering the list so that the total cost of ...

  9. Articles of association - Wikipedia

    en.wikipedia.org/wiki/Articles_of_association

    In corporate governance, a company's articles of association (AoA, called articles of incorporation in some jurisdictions) is a document that, along with the memorandum of association (in cases where it exists) forms the company's constitution. The AoA defines the responsibilities of the directors, the kind of business to be undertaken, and the ...