Quick sort is an extremely efficient sorting technique that divides a large array of data into smaller arrays. A huge array is split into two arrays, one of which contains values less than the specified value, say pivot, on which the partition is based, and the other of which contains values larger than the pivot value.
Quicksort divides an array and then recursively calls itself twice to sort the two resulting subarrays. This approach is very efficient for huge data sets since its average and worst-case complexity are both O(n2).
Quick Sort Pivot Algorithm
Based on our understanding of partitioning in quick sort, we will now try to write an algorithm for it, which is as follows.
Quick Sort Pivot Pseudocode The pseudocode for the above algorithm can be derived as − function partitionFunc(left, right, pivot) leftPointer = left rightPointer = right - 1 while True do while A[++leftPointer] < pivot do //do-nothing end while while rightPointer > 0 && A[--rightPointer] > pivot do //do-nothing end while if leftPointer >= rightPointer break else swap leftPointer,rightPointer end if end while swap leftPointer,right return leftPointer end function Quick Sort Algorithm Using pivot algorithm recursively, we end up with smaller possible partitions. Each partition is then processed for quick sort. We define recursive algorithm for quicksort as follows − Step 1 − Make the right-most index value pivot Step 2 − partition the array using pivot value Step 3 − quicksort left partition recursively Step 4 − quicksort right partition recursively Quick Sort Pseudocode To get more into it, let see the pseudocode for quick sort algorithm − procedure quickSort(left, right) if right-left <= 0 return else pivot = A[right] partition = partitionFunc(left, right, pivot) quickSort(left,partition-1) quickSort(partition+1,right) end if end procedureStep 1 − Choose the highest index value has pivot Step 2 − Take two variables to point left and right of the list excluding pivot Step 3 − left points to the low index Step 4 − right points to the high Step 5 − while value at left is less than pivot move right Step 6 − while value at right is greater than pivot move left Step 7 − if both step 5 and step 6 does not match swap left and right Step 8 − if left ≥ right, the point where they met is new pivot
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