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  2. Online algorithm - Wikipedia

    en.wikipedia.org/wiki/Online_algorithm

    Note that the final result of an insertion sort is optimum, i.e., a correctly sorted list. For many problems, online algorithms cannot match the performance of offline algorithms. If the ratio between the performance of an online algorithm and an optimal offline algorithm is bounded, the online algorithm is called competitive. [1]

  3. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...

  4. Category:Search algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Search_algorithms

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  5. Gnome sort - Wikipedia

    en.wikipedia.org/wiki/Gnome_sort

    Gnome sort (nicknamed stupid sort) is a variation of the insertion sort sorting algorithm that does not use nested loops. Gnome sort was originally proposed by Iranian computer scientist Hamid Sarbazi-Azad (professor of Computer Science and Engineering at Sharif University of Technology) [1] in 2000.

  6. Heapsort - Wikipedia

    en.wikipedia.org/wiki/Heapsort

    The heapsort algorithm can be divided into two phases: heap construction, and heap extraction. The heap is an implicit data structure which takes no space beyond the array of objects to be sorted; the array is interpreted as a complete binary tree where each array element is a node and each node's parent and child links are defined by simple arithmetic on the array indexes.

  7. Bubble sort - Wikipedia

    en.wikipedia.org/wiki/Bubble_sort

    Bubble sort. The list was plotted in a Cartesian coordinate system, with each point (x, y) indicating that the value y is stored at index x. Then the list would be sorted by bubble sort according to every pixel's value. Note that the largest end gets sorted first, with smaller elements taking longer to move to their correct positions.

  8. Beam search - Wikipedia

    en.wikipedia.org/wiki/Beam_search

    Beam search with width 3 (animation) In computer science, beam search is a heuristic search algorithm that explores a graph by expanding the most promising node in a limited set.

  9. Comb sort - Wikipedia

    en.wikipedia.org/wiki/Comb_sort

    Comb sort is a relatively simple sorting algorithm originally designed by Włodzimierz Dobosiewicz and Artur Borowy in 1980, [1] [2] later rediscovered (and given the name "Combsort") by Stephen Lacey and Richard Box in 1991. [3]

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