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Randomized QuickSort is a modified version of the standard QuickSort algorithm that uses randomness to select the pivot element, reducing worst-case performance. It uses a random pivot instead of a fixed position, reducing the worst-case time complexity in sorted or nearly sorted data. The algorithm involves choosing a random element as the pivot, partitioning the array to include elements with values less than the pivot, and applying recursive sort to sub-arrays of smaller and greater values.

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