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  2. 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 ...

  3. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    Quicksort is an efficient, general-purpose sorting algorithm. Quicksort was developed by British computer scientist Tony Hoare in 1959 [1] and published in 1961. [2] It is still a commonly used algorithm for sorting. Overall, it is slightly faster than merge sort and heapsort for randomized data, particularly on larger distributions. [3]

  4. Probabilistic analysis of algorithms - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_analysis_of...

    In analysis of algorithms, probabilistic analysis of algorithms is an approach to estimate the computational complexity of an algorithm or a computational problem. It starts from an assumption about a probabilistic distribution of the set of all possible inputs.

  5. 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).

  6. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    A randomized integer sorting algorithm taking (⁡ ⁡) expected time and O(n) space. [ 20 ] One of the authors of the previously mentioned algorithm also claims to have discovered an algorithm taking O ( n log ⁡ n ) {\displaystyle O\left(n{\sqrt {\log n}}\right)} time and O ( n ) space, sorting real numbers. [ 21 ]

  7. Divide-and-conquer algorithm - Wikipedia

    en.wikipedia.org/wiki/Divide-and-conquer_algorithm

    The divide-and-conquer technique is the basis of efficient algorithms for many problems, such as sorting (e.g., quicksort, merge sort), multiplying large numbers (e.g., the Karatsuba algorithm), finding the closest pair of points, syntactic analysis (e.g., top-down parsers), and computing the discrete Fourier transform . [1]

  8. Convex hull algorithms - Wikipedia

    en.wikipedia.org/wiki/Convex_hull_algorithms

    Created independently in 1977 by W. Eddy and in 1978 by A. Bykat. Just like the quicksort algorithm, it has the expected time complexity of O(n log n), but may degenerate to O(n 2) in the worst case. Divide and conquer, a.k.a. merge hull — O(n log n) Another O(n log n) algorithm, published in 1977 by Preparata and Hong. This algorithm is also ...

  9. List of algorithm general topics - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithm_general...

    This is a list of algorithm general topics.. Analysis of algorithms; Ant colony algorithm; Approximation algorithm; Best and worst cases; Big O notation; Combinatorial search ...