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  2. Lexicographically minimal string rotation - Wikipedia

    en.wikipedia.org/wiki/Lexicographically_minimal...

    An efficient algorithm was proposed by Booth (1980). [2] The algorithm uses a modified preprocessing function from the Knuth–Morris–Pratt string search algorithm.The failure function for the string is computed as normal, but the string is rotated during the computation so some indices must be computed more than once as they wrap around.

  3. Smallest-circle problem - Wikipedia

    en.wikipedia.org/wiki/Smallest-circle_problem

    The dual to this quadratic program may also be formulated explicitly; [17] an algorithm of Lawson [18] can be described in this way as a primal dual algorithm. [ 16 ] Shamos and Hoey [ 7 ] proposed an O( n log n ) time algorithm for the problem based on the observation that the center of the smallest enclosing circle must be a vertex of the ...

  4. Convex hull algorithms - Wikipedia

    en.wikipedia.org/wiki/Convex_hull_algorithms

    Monotone chain, a.k.a. Andrew's algorithmO(n log n) Published in 1979 by A. M. Andrew. The algorithm can be seen as a variant of Graham scan which sorts the points lexicographically by their coordinates. When the input is already sorted, the algorithm takes O(n) time. Incremental convex hull algorithmO(n log n) Published in 1984 by ...

  5. Round-robin scheduling - Wikipedia

    en.wikipedia.org/wiki/Round-robin_scheduling

    A Round Robin preemptive scheduling example with quantum=3. Round-robin (RR) is one of the algorithms employed by process and network schedulers in computing. [1] [2] As the term is generally used, time slices (also known as time quanta) [3] are assigned to each process in equal portions and in circular order, handling all processes without priority (also known as cyclic executive).

  6. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    More abstractly, given an O(n) selection algorithm, one can use it to find the ideal pivot (the median) at every step of quicksort and thus produce a sorting algorithm with O(n log n) running time. Practical implementations of this variant are considerably slower on average, but they are of theoretical interest because they show an optimal ...

  7. In-place algorithm - Wikipedia

    en.wikipedia.org/wiki/In-place_algorithm

    Identifying the in-place algorithms with L has some interesting implications; for example, it means that there is a (rather complex) in-place algorithm to determine whether a path exists between two nodes in an undirected graph, [3] a problem that requires O(n) extra space using typical algorithms such as depth-first search (a visited bit for ...

  8. Selection sort - Wikipedia

    en.wikipedia.org/wiki/Selection_sort

    It has a O(n 2) 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 certain situations, particularly where auxiliary memory is limited.

  9. Graham scan - Wikipedia

    en.wikipedia.org/wiki/Graham_scan

    This step takes O(n), where n is the number of points in question. Next, the set of points must be sorted in increasing order of the angle they and the point P make with the x-axis. Any general-purpose sorting algorithm is appropriate for this, for example heapsort (which is O(n log n)). Sorting in order of angle does not require computing the ...