'1st order statistic' diaporamas de présentation

Linear-Time Sorting Algorithms

Linear-Time Sorting Algorithms. Sorting So Far. Insertion sort: Easy to code Fast on small inputs (less than ~50 elements) Fast on nearly-sorted inputs O(n 2 ) worst case O(n 2 ) average (equally-likely inputs) case O(n 2 ) reverse-sorted case. Sorting So Far. Merge sort:

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CS 332: Algorithms

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CS 332: Algorithms

CS 332: Algorithms. Linear-Time Sorting Continued Medians and Order Statistics. Review: Comparison Sorts. Comparison sorts: O(n lg n) at best Model sort with decision tree Path down tree = execution trace of algorithm Leaves of tree = possible permutations of input

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CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms. Lecture 14: Order Statistics. Order statistics. The i th order statistic in a set of n elements is the i th smallest element The minimum is thus the 1 st order statistic The maximum is the n th order statistic The median is the n/2 order statistic

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