Insertion Sort and the simple version of QuickSort were stable, but the faster in-place version of Quicksort was not (since it scrambled around elements while sorting). In cases where you care about the original order, it is important to use a stable sorting algorithm. In this challenge, y...
Another sorting method, the counting sort, does not require comparison. Instead, you create an integer array whose index range covers the entire range of values in your array to sort. Each time a value occurs in the original array, you increment the counter at that index. At the end, run...
def countInversions(arr): def merge_sort_and_count(arr): if len(arr) <= 1: return arr, 0 mid = len(arr) // 2 left, left_inversions = merge_sort_and_count(arr[:mid]) right, right_inversions = merge_sort_and_count(arr[mid:]) merged, split_inversions = merge_and_count(left, ...
sort(val + 1, val + n + 1); sort(val_2 + 1, val_2 + n + 1); cnt1 = 0; cnt2 = 0; cnt3 = 0; for (i = 1; i <= n; i++) { for (j = i + 1; j <= n; j++) { v = val_2[i] + val_2[j]; pos = lower_bound(val_2 + j + 1, val_2 + n + 1...
arr: an array of integers to sort . Input Format The first line contains an integer, , the number of datasets. Each of the next pairs of lines is as follows: The first line contains an integer, , the number of elements in .