Make all array elements equal by reducing array elements to half minimum number of times

Last Updated : 17 May, 2021

Given an array arr[] consisting of N integers, the task is to minimize the number of operations required to make all array elements equal by converting A_i to A_i/ 2. in each operation

Examples:

Input: arr[] = {3, 1, 1, 3}
Output: 2
Explanation:
Reducing A₀ to A₀ / 2 modifies arr[] to {1, 1, 1, 3}.
Reducing A₃ to A₃ / 2 modifies arr[] to {1, 1, 1, 1}.
Therefore, all array elements are equal, Hence, the minimum operations required is 2.

Input: arr[] = {2, 2, 2}
Output: 0

Approach: The idea to solve this problem is to use Greedy Approach. Below are the steps:

Initialize an auxiliary Map, say mp.
Traverse the array and for each array element, divide the element by 2 until it reduces to 1, and store the resulting number in the Map.
Traverse the map and find the maximum element having a frequency equal to N, say mx.
Again, traverse the array and for each element, divide the element by 2 until it becomes equal to mx and increment count.
Print count as the minimum number of required operations.

Below is the implementation of the above approach:

C++

// C++ program for the above approach

#include <bits/stdc++.h>
using namespace std;

// Function to find minimum number of operations
int minOperations(int arr[], int N)
{
    // Initialize map
    map<int, int> mp;

    // Traverse the array
    for (int i = 0; i < N; i++) {
        int res = arr[i];

        // Divide current array
        // element until it reduces to 1
        while (res) {

            mp[res]++;
            res /= 2;
        }
    }

    int mx = 1;
    // Traverse the map
    for (auto it : mp) {
        // Find the maximum element
        // having frequency equal to N
        if (it.second == N) {
            mx = it.first;
        }
    }

    // Stores the minimum number
    // of operations required
    int ans = 0;

    for (int i = 0; i < N; i++) {
        int res = arr[i];

        // Count operations required to
        // convert current element to mx
        while (res != mx) {

            ans++;

            res /= 2;
        }
    }

    // Print the answer
    cout << ans;
}

// Driver Code
int main()
{
    // Given array
    int arr[] = { 3, 1, 1, 3 };

    // Size of the array
    int N = sizeof(arr) / sizeof(arr[0]);

    minOperations(arr, N);
}

Java

// Java program to implement
// the above approach
import java.io.*;
import java.util.*;

class GFG{

  // Function to find minimum number of operations
  static void minOperations(int[] arr, int N)
  {
    // Initialize map
    HashMap<Integer, 
    Integer> mp = new HashMap<Integer, 
    Integer>();

    // Traverse the array
    for (int i = 0; i < N; i++) {
      int res = arr[i];

      // Divide current array
      // element until it reduces to 1
      if (mp.containsKey(res))
        mp.put(res, mp.get(res) + 1);
      else
        mp.put(res, 1);

      res /= 2;
    }    
    int mx = 1;

    for(Map.Entry<Integer, Integer> it : mp.entrySet())
    {

      // Find the maximum element
      // having frequency equal to N
      if (it.getValue() == N) 
      {
        mx = it.getKey();
      }
    }

    // Stores the minimum number
    // of operations required
    int ans = 0;

    for (int i = 0; i < N; i++)
    {
      int res = arr[i];

      // Count operations required to
      // convert current element to mx
      while (res != mx)
      {
        ans++;
        res /= 2;
      }
    }

    // Print the answer
    System.out.println(ans);
  }       

  // Driver Code
  public static void main(String[] args)
  {
    // Given array
    int arr[] = { 3, 1, 1, 3 };

    // Size of the array
    int N = arr.length;
    minOperations(arr, N);
  }
}

// This code is contributed by code_hunt.

Python3

# Python program for the above approach
# Function to find minimum number of operations
def minOperations(arr, N):
  
  # Initialize map
  mp = {}
  
  # Traverse the array
  for i in range(N): 
    res = arr[i]
    
    # Divide current array
    # element until it reduces to 1
    while (res): 
      if res in mp:
        mp[res] += 1
      else:
        mp[res] = 1
      res //= 2
  mx = 1
  
  # Traverse the map
  for it in mp:
    
    # Find the maximum element
    # having frequency equal to N
    if (mp[it] == N):
      mx = it
      
  # Stores the minimum number
  # of operations required
  ans = 0
  for i in range(N):
    res = arr[i]
    
    # Count operations required to
    # convert current element to mx
    while (res != mx):
      ans += 1
      res //= 2
      
  # Print the answer
  print(ans)

# Driver Code
# Given array
arr = [ 3, 1, 1, 3 ]

# Size of the array
N = len(arr)
minOperations(arr, N)

# This code is contributed by rohitsingh07052.

// C# program for the above approach
using System;
using System.Collections.Generic;
class GFG {
    
    // Function to find minimum number of operations
    static void minOperations(int[] arr, int N)
    {
        // Initialize map
        Dictionary<int, int> mp = new Dictionary<int, int>();
     
        // Traverse the array
        for (int i = 0; i < N; i++) {
            int res = arr[i];
     
            // Divide current array
            // element until it reduces to 1
            while (res > 0) {
                if(mp.ContainsKey(res))
                {
                    mp[res]++;
                }
                else{
                    mp[res] = 1;
                }
                res /= 2;
            }
        }    
        int mx = 1;
       
        foreach(KeyValuePair<int, int> it in mp) 
        {
          
            // Find the maximum element
            // having frequency equal to N
            if (it.Value == N) 
            {
                mx = it.Key;
            }
        }
     
        // Stores the minimum number
        // of operations required
        int ans = 0;
     
        for (int i = 0; i < N; i++)
        {
            int res = arr[i];
     
            // Count operations required to
            // convert current element to mx
            while (res != mx)
            {
                ans++;
                res /= 2;
            }
        }
     
        // Print the answer
        Console.Write(ans);
    }

  // Driver code
  static void Main()
  {
    
    // Given array
    int[] arr = { 3, 1, 1, 3 };
 
    // Size of the array
    int N = arr.Length;
 
    minOperations(arr, N);
  }
}

// This code is contributed by divyesh072019.

JavaScript

<script>

// Javascript program for the above approach

// Function to find minimum number of operations
function minOperations(arr, N)
{
    // Initialize map
    var mp = new Map();

    // Traverse the array
    for (var i = 0; i < N; i++) {
        var res = arr[i];

        // Divide current array
        // element until it reduces to 1
        while (res) {

            if(mp.has(res))
            {
                mp.set(res, mp.get(res)+1);
            }
            else
            {
                mp.set(res, 1);
            }
            res = parseInt(res/2);
        }
    }

    var mx = 1;
    // Traverse the map
    mp.forEach((value, key) => {
        // Find the maximum element
        // having frequency equal to N
        if (value == N) {
            mx = key;
        }
    });

    // Stores the minimum number
    // of operations required
    var ans = 0;

    for (var i = 0; i < N; i++) {
        var res = arr[i];

        // Count operations required to
        // convert current element to mx
        while (res != mx) {

            ans++;

            res = parseInt(res/2);
        }
    }

    // Print the answer
    document.write( ans);
}

// Driver Code

// Given array
var arr = [3, 1, 1, 3];

// Size of the array
var N = arr.length;
minOperations(arr, N);

</script>

Output:

Time Complexity: O(N * log(max(arr[i]))
Auxiliary Space: O(N)

Make all array elements equal to 0 by replacing minimum subsequences consisting of equal elements

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Make all array elements equal by reducing array elements to half minimum number of times

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