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...
C++ solution. Solving this by merge sort is probably the quickest way, as it is done in O(nlogn) time, as opposed to other methods most of which run in O(n^2). An addition to the merge sort algorithm made specifically for this question is that we need to keep track of the number...
For example, consider the dataset . It has two inversions: and . To sort the array, we must perform the following two swaps to correct the inversions: Given datasets, print the number of inversions that must be swapped to sort each dataset on a new line. Function Description Complete the ...
countSort has the following parameter(s): string arr[n][2]: each arr[i] is comprised of two strings, x and s Returns - Print the finished array with each element separated by a single space. Note: The first element of each , , must be cast as an integer to perform the sort....