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使用归并排序算法编写的C/C++程序,用于计算数组中的逆序数

归并排序 C/C程序 逆序数
466 2023-08-19

The inversions of an array indicate; how many changes are required to convert the array into its sorted form. When an array is already sorted, it needs 0 inversions, and in other case, the number of inversions will be maximum, if the array is reversed.

To solve this problem, we will follow the Merge sort approach to reduce the time complexity, and make it in Divide and Conquer algorithm.

Input

A sequence of numbers. (1, 5, 6, 4, 20).

Output

The number of inversions required to arrange the numbers into ascending order.

Here the number of inversions are 2.
First inversion: (1, 5, 4, 6, 20)
Second inversion: (1, 4, 5, 6, 20)

Algorithm

merge(array, tempArray, left, mid, right)

Input - Two arrays, who have merged, the left, right and the mid indexes.

Output -The merged array in sorted order.

Begin
   i := left, j := mid, k := right
   count := 0
   while i <= mid -1 and j <= right, do
      if array[i] <= array[j], then
         tempArray[k] := array[i]
         increase i and k by 1
      else
         tempArray[k] := array[j]
         increase j and k by 1
         count := count + (mid - i)
   done
   while left part of the array has some extra element, do
      tempArray[k] := array[i]
      increase i and k by 1
   done
   while right part of the array has some extra element, do
      tempArray[k] := array[j]
      increase j and k by 1
   done
   return count
End

mergeSort(array, tempArray, left, right)

输入 - 给定数组和临时数组,数组的左右索引。

输出 - 排序后的逆序对数量。

Begin
   count := 0
   if right > left, then
      mid := (right + left)/2
      count := mergeSort(array, tempArray, left, mid)
      count := count + mergeSort(array, tempArray, mid+1, right)
      count := count + merge(array, tempArray, left, mid+1, right)
   return count
End

Example

 Live Demo

#include <iostream>
using namespace std;
int merge(int arr[], int temp[], int left, int mid, int right) {
   int i, j, k;
   int count = 0;
   i = left; //i to locate first array location
   j = mid; //i to locate second array location
   k = left; //i to locate merged array location
   while ((i <= mid - 1) && (j <= right)) {
      if (arr[i] <= arr[j]){ //when left item is less than right item
      temp[k++] = arr[i++];
      } else {
         temp[k++] = arr[j++];
         count += (mid - i); //find how many convertion is performed
      }
   }
   while (i <= mid - 1) //if first list has remaining item, add them in the list
      temp[k++] = arr[i++];
   while (j <= right) //if second list has remaining item, add them in the list
      temp[k++] = arr[j++];
   for (i=left; i <= right; i++)
      arr[i] = temp[i]; //store temp Array to main array
   return count;
}
int mergeSort(int arr[], int temp[], int left, int right){
   int mid, count = 0;
   if (right > left) {
      mid = (right + left)/2; //find mid index of the array
      count = mergeSort(arr, temp, left, mid); //merge sort left sub array
      count += mergeSort(arr, temp, mid+1, right); //merge sort right sub array
      count += merge(arr, temp, left, mid+1, right); //merge two sub arrays
   }
   return count;
}
int arrInversion(int arr[], int n) {
   int temp[n];
   return mergeSort(arr, temp, 0, n - 1);
}
int main() {
   int arr[] = {1, 5, 6, 4, 20};
   int n = 5;
   cout << "Number of inversions are "<< arrInversion(arr, n);
}

Output

Number of inversions are 2