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  2. Sorting - Wikipedia

    en.wikipedia.org/wiki/Sorting

    A new sort key can be created from two or more sort keys by lexicographical order. The first is then called the primary sort key, the second the secondary sort key, etc. For example, addresses could be sorted using the city as primary sort key, and the street as secondary sort key.

  3. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.

  4. Natural sort order - Wikipedia

    en.wikipedia.org/wiki/Natural_sort_order

    Natural sort order has been promoted as being more human-friendly ("natural") than machine-oriented, pure alphabetical sort order. [ 1 ] For example, in alphabetical sorting, "z11" would be sorted before "z2" because the "1" in the first string is sorted as smaller than "2", while in natural sorting "z2" is sorted before "z11" because "2" is ...

  5. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    When they are sorted with a non-stable sort, the 5s may end up in the opposite order in the sorted output. Stable sort algorithms sort equal elements in the same order that they appear in the input. For example, in the card sorting example to the right, the cards are being sorted by their rank, and their suit is being ignored.

  6. Damerau–Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Damerau–Levenshtein_distance

    The difference between the two algorithms consists in that the optimal string alignment algorithm computes the number of edit operations needed to make the strings equal under the condition that no substring is edited more than once, whereas the second one presents no such restriction.

  7. Bitonic sorter - Wikipedia

    en.wikipedia.org/wiki/Bitonic_sorter

    The green and blue boxes combine to form the entire sorting network. For any arbitrary sequence of inputs, it will sort them correctly, with the largest at the bottom. The output of each green or blue box will be a sorted sequence, so the output of each pair of adjacent lists will be bitonic, because the top one is blue and the bottom one is green.

  8. K-sorted sequence - Wikipedia

    en.wikipedia.org/wiki/K-sorted_sequence

    So if a program needs only to consider -sorted sequences as input or output, considering -sorted sequences may save time. The radius of a sequence is a measure of presortedness , that is, its value indicate how much the elements in the list has to be moved to get a totally sorted value.

  9. Smoothsort - Wikipedia

    en.wikipedia.org/wiki/Smoothsort

    In computer science, smoothsort is a comparison-based sorting algorithm.A variant of heapsort, it was invented and published by Edsger Dijkstra in 1981. [1] Like heapsort, smoothsort is an in-place algorithm with an upper bound of O(n log n) operations (see big O notation), [2] but it is not a stable sort.