When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Bitwise trie with bitmap - Wikipedia

    en.wikipedia.org/wiki/Bitwise_trie_with_bitmap

    To give an example that explains the difference between "classic" tries and bitwise tries: For numbers as keys, the alphabet for a trie could consist of the symbols '0' .. '9' to represent digits of a number in the decimal system and the nodes would have up to 10 possible children. A trie with the keys "07" and "42".

  3. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    In computer science, a trie (/ ˈ t r aɪ /, / ˈ t r iː /), also known as a digital tree or prefix tree, [1] is a specialized search tree data structure used to store and retrieve strings from a dictionary or set.

  4. X-fast trie - Wikipedia

    en.wikipedia.org/wiki/X-fast_trie

    An x-fast trie containing the integers 1 (001 2), 4 (100 2) and 5 (101 2). Blue edges indicate descendant pointers. An x-fast trie is a bitwise trie: a binary tree where each subtree stores values whose binary representations start with a common prefix. Each internal node is labeled with the common prefix of the values in its subtree and ...

  5. Statistical model - Wikipedia

    en.wikipedia.org/wiki/Statistical_model

    A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a larger population). A statistical model represents, often in considerably idealized form, the data-generating process . [ 1 ]

  6. Predecessor problem - Wikipedia

    en.wikipedia.org/wiki/Predecessor_problem

    An x-fast trie containing the integers 1 (001 2), 4 (100 2) and 5 (101 2), which can be used to efficiently solve the predecessor problem. One simple solution to this problem is to use a balanced binary search tree , which achieves (in Big O notation ) a running time of O ( log ⁡ n ) {\displaystyle O(\log n)} for predecessor queries.

  7. Radix tree - Wikipedia

    en.wikipedia.org/wiki/Radix_tree

    Radix trees support insertion, deletion, and searching operations. Insertion adds a new string to the trie while trying to minimize the amount of data stored. Deletion removes a string from the trie. Searching operations include (but are not necessarily limited to) exact lookup, find predecessor, find successor, and find all strings with a prefix.

  8. Suffix tree - Wikipedia

    en.wikipedia.org/wiki/Suffix_tree

    Suffix trees are also used in data compression; they can be used to find repeated data, and can be used for the sorting stage of the Burrows–Wheeler transform. Variants of the LZW compression schemes use suffix trees . A suffix tree is also used in suffix tree clustering, a data clustering algorithm used in some search engines. [26]

  9. Bit array - Wikipedia

    en.wikipedia.org/wiki/Bit_array

    Haskell likewise currently lacks standard support for bitwise operations, but both GHC and Hugs provide a Data.Bits module with assorted bitwise functions and operators, including shift and rotate operations and an "unboxed" array over Boolean values may be used to model a Bit array, although this lacks support from the former module.