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  2. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    Each complete English word has an arbitrary integer value associated with it. In computer science, a trie (/ ˈtraɪ /, / ˈtriː /), also called digital tree or prefix tree, [ 1 ] is a type of search tree: specifically, a k -ary tree data structure used for locating specific keys from within a set. These keys are most often strings, with links ...

  3. Radix sort - Wikipedia

    en.wikipedia.org/wiki/Radix_sort

    Radix sort. O (w ⋅ n) {\displaystyle O (w\cdot n)} , where n {\displaystyle n} is the number of keys, and w {\displaystyle w} is the key length. In computer science, radix sort is a non- comparative sorting algorithm. It avoids comparison by creating and distributing elements into buckets according to their radix.

  4. Radix tree - Wikipedia

    en.wikipedia.org/wiki/Radix_tree

    Radix tree. In computer science, a radix tree (also radix trie or compact prefix tree or compressed trie) is a data structure that represents a space-optimized trie (prefix tree) in which each node that is the only child is merged with its parent. The result is that the number of children of every internal node is at most the radix r of the ...

  5. C Sharp syntax - Wikipedia

    en.wikipedia.org/wiki/C_Sharp_syntax

    Whether it is a console or a graphical interface application, the program must have an entry point of some sort. The entry point of the C# application is the method called Main. There can only be one, and it is a static method in a class. The method usually returns void and is passed command-line arguments as an array of strings.

  6. Rope (data structure) - Wikipedia

    en.wikipedia.org/wiki/Rope_(data_structure)

    Rope (data structure) A simple rope built on the string of "Hello_my_name_is_Simon". In computer programming, a rope, or cord, is a data structure composed of smaller strings that is used to efficiently store and manipulate longer strings or entire texts. For example, a text editing program may use a rope to represent the text being edited, so ...

  7. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    Best, worst and average case behavior in terms of the size of the list. For typical serial sorting algorithms, good behavior is O(n log n), with parallel sort in O(log 2 n), and bad behavior is O(n 2). Ideal behavior for a serial sort is O(n), but this is not possible in the average case. Optimal parallel sorting is O(log n).

  8. Selection sort - Wikipedia

    en.wikipedia.org/wiki/Selection_sort

    Selection sort. In computer science, selection sort is an in-place comparison sorting algorithm. It has an O (n2) time complexity, which makes it inefficient on large lists, and generally performs worse than the similar insertion sort. Selection sort is noted for its simplicity and has performance advantages over more complicated algorithms in ...

  9. Insertion sort - Wikipedia

    en.wikipedia.org/wiki/Insertion_sort

    Insertion sort. Insertion sort is a simple sorting algorithm that builds the final sorted array (or list) one item at a time by comparisons. It is much less efficient on large lists than more advanced algorithms such as quicksort, heapsort, or merge sort. However, insertion sort provides several advantages: