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  2. Rope (data structure) - Wikipedia

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

    Definition: Split (i, S): split the string S into two new strings S 1 and S 2, S 1 = C 1, ..., C i and S 2 = C i + 1, ..., C m. Time complexity: ⁠ (⁡) ⁠ There are two cases that must be dealt with: The split point is at the end of a string (i.e. after the last character of a leaf node) The split point is in the middle of a string.

  3. Strand sort - Wikipedia

    en.wikipedia.org/wiki/Strand_sort

    Strand Sort Animation. Strand sort is a recursive sorting algorithm that sorts items of a list into increasing order. It has O(n 2) worst-case time complexity, which occurs when the input list is reverse sorted. [1] It has a best-case time complexity of O(n), which occurs when the input is already sorted. [citation needed]

  4. Multi-key quicksort - Wikipedia

    en.wikipedia.org/wiki/Multi-key_quicksort

    Multi-key quicksort, also known as three-way radix quicksort, [1] is an algorithm for sorting strings.This hybrid of quicksort and radix sort was originally suggested by P. Shackleton, as reported in one of C.A.R. Hoare's seminal papers on quicksort; [2]: 14 its modern incarnation was developed by Jon Bentley and Robert Sedgewick in the mid-1990s. [3]

  5. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    An example of stable sort on playing cards. When the cards are sorted by rank with a stable sort, the two 5s must remain in the same order in the sorted output that they were originally in. When they are sorted with a non-stable sort, the 5s may end up in the opposite order in the sorted output.

  6. Insertion sort - Wikipedia

    en.wikipedia.org/wiki/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:

  7. Ukkonen's algorithm - Wikipedia

    en.wikipedia.org/wiki/Ukkonen's_algorithm

    Final suffix tree using Ukkonen's algorithm (example). To better illustrate how a suffix tree is constructed using Ukkonen's algorithm, we can consider the string S = xabxac. Start with an empty root node. Construct for S[1] by adding the first character of the string. Rule 2 applies, which creates a new leaf node.

  8. Burstsort - Wikipedia

    en.wikipedia.org/wiki/Burstsort

    Burstsort algorithms use a trie to store prefixes of strings, with growable arrays of pointers as end nodes containing sorted, unique, suffixes (referred to as buckets). Some variants copy the string tails into the buckets. As the buckets grow beyond a predetermined threshold, the buckets are "burst" into tries, giving the sort its name.

  9. Stack-sortable permutation - Wikipedia

    en.wikipedia.org/wiki/Stack-sortable_permutation

    The sequence of pushes and pops performed by Knuth's sorting algorithm as it sorts a stack-sortable permutation form a Dyck language: reinterpreting a push as a left parenthesis and a pop as a right parenthesis produces a string of balanced parentheses. Moreover, every Dyck string comes from a stack-sortable permutation in this way, and every ...