The order of qick sort at the best case is O(n log n)
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∙ 12y agoit has less complexity
Although quick sort has a worst case time complexity of O(n^2), but for sorting a large amount of numbers, quick sort is very efficient because of the concept of locality of reference.
quick sort has a best case time complexity of O(nlogn) and worst case time complexity of 0(n^2). the best case occurs when the pivot element choosen as the center or close to the center element of the list.the time complexity can be derived for this case as: t(n)=2*t(n/2)+n. whereas the worst case time complexity for quick sort happens when the pivot element is towards the end of the list.the time complexity for this can be derived using the recurrence eqn: t(n)=t(n-1)+n
o(n)
quicksort should be O(n^2), but merge sort should be O(nlogn). but if you can modify partition algorithm with checking all values same in array from p to r, it could be O(nlogn).
Yes, that's how quick-sort works.
Time complexity Best case: The best case complexity of bubble sort is O(n). When sorting is not required, all the elements are already sorted. Average case: The average case complexity of bubble sort is O(n*n). It occurs when the elements are jumbled, neither properly ascending nor descending. Worst case: The worst-case complexity of bubble sort is O(n*n). It occurs when the array elements are needed to be sorted in reverse order. Space complexity In the bubble sort algorithm, space complexity is O(1) as an extra variable is needed for swapping.
Quick Sort
When you want to sort an array.
Bubble sort-O(n*n)-in all cases Insertion sort-O(n*n)-in avg and worst case in best case it is O(logn) Quick Sort-0(nlogn)-in avg n best case and 0(n*n)-in Worst case selection sort-same as bubble Linear search-o(n) Binary Search-o(nlog) Any doubt mail me-jain88visionary@rediffmail.com
quick sort is a divide and conquer method , it is not dynamic programming
quick sort