Implementing Counting Sort using map in C++

Counting Sort is one of the best sorting algorithms which can sort in O(n) time complexity but the disadvantage with the counting sort is it’s space complexity, for a small collection of values, it will also require a huge amount of unused space.

So, we need two things to overcome this:

  1. A data structure which occupies the space for input elements only and not for all the elements other than inputs.
  2. The stored elements must be in sorted order because if it’s unsorted then storing them will be of no use.

So Map in C++ satisfies both the condition. Thus we can achieve this through a map.



Examples:

Input: arr[] = {1, 4, 3, 5, 1}
Output: 1 1 3 4 5

Input: arr[] = {1, -1, -3, 8, -3}
Output: -3 -3 -1 1 8

Below is the implementation of Counting Sort using map in C++:

filter_none

edit
close

play_arrow

link
brightness_4
code

// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
  
// Function to sort the array using counting sort
void countingSort(vector<int> arr, int n)
{
  
    // Map to store the frequency
    // of the array elements
    map<int, int> freqMap;
    for (auto i = arr.begin(); i != arr.end(); i++) {
        freqMap[*i]++;
    }
  
    int i = 0;
  
    // For every element of the map
    for (auto it : freqMap) {
  
        // Value of the element
        int val = it.first;
  
        // Its frequency
        int freq = it.second;
        for (int j = 0; j < freq; j++)
            arr[i++] = val;
    }
  
    // Print the sorted array
    for (auto i = arr.begin(); i != arr.end(); i++) {
        cout << *i << " ";
    }
}
  
// Driver code
int main()
{
    vector<int> arr = { 1, 4, 3, 5, 1 };
    int n = arr.size();
  
    countingSort(arr, n);
  
    return 0;
}

chevron_right


Output:

1 1 3 4 5


My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.