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Quickselect and its variants are the selection algorithms most often used in efficient real-world implementations. Quickselect uses the same overall approach as quicksort, choosing one element as a pivot and partitioning the data in two based on the pivot, accordingly as less than or greater than the pivot.
In computer science, the median of medians is an approximate median selection algorithm, frequently used to supply a good pivot for an exact selection algorithm, most commonly quickselect, that selects the kth smallest element of an initially unsorted array. Median of medians finds an approximate median in linear time.
As a baseline algorithm, selection of the th smallest value in a collection of values can be performed by the following two steps: . Sort the collection; If the output of the sorting algorithm is an array, retrieve its th element; otherwise, scan the sorted sequence to find the th element.
Banker's algorithm; Bellman–Ford algorithm; Biconjugate gradient stabilized method; Biconnected component; Binary search; Bisection method; Bitwise operation; Block sort; Blowfish (cipher) Borůvka's algorithm; Braess's paradox; Brandes' algorithm; Bresenham's line algorithm; Bron–Kerbosch algorithm; Bubble sort; Bucket sort; Burning Ship ...
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The Floyd-Rivest algorithm is a divide and conquer algorithm, sharing many similarities with quickselect. It uses sampling to help partition the list into three sets. It then recursively selects the kth smallest element from the appropriate set. The general steps are: Select a small random sample S from the list L.
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