In computer science, quickselect is a selection algorithm to find the kth smallest element in an unordered list. It is also known as the kth order statistics . It is related to the quicksort sorting algorithm. Like quicksort, it was developed by Tony Hoare, and thus is also known as Hoare's selection algorithm. Like quicksort, it is efficient in practice and has good average-case performance, but has poor worst-case performance. 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. However, instead of recursing into both sides, as in quicksort, quickselect only recurses into one side – the side with the element it is searching for. This reduces the average complexity from to , with a worst case of . As with quicksort, quickselect is generally implemented as an in-place algorithm, and beyond selecting the kth element, it also partially sorts the data. See selection algorithm for further discussion of the connection with sorting. (Wikipedia).
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Quickstart for Desktop Version Example 5: Intersection of a Plane and a Line
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Intersection of a Plane and a Line
Quickstart for Web and Tablet App Example 5: Intersection of a Plane and a Line
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Quickstart for Desktop Version Example 1: Circumcircle of a Triangle
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Quickstart for Desktop Version Example 3: Intersection of Polynomial Functions
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Quickstart for Desktop Version Example 4: Scatter Plot and Best Fit Line
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Intersection of Polynomial Functions
Quickstart for Web and Tablet App Example 3: Intersection of Polynomial Functions
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Quickstart for Web and Tablet App Example 2: Parameters of a Linear Equation
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From playlist MIT 7.91J Foundations of Computational and Systems Biology
Quickstart for Web and Tablet App Example 1: Circumcircle of a Triangle
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