Wednesday, July 3, 2024
HomeData ModellingData Structure & AlgorithmMinimum inversions required so that no two adjacent elements are same

Minimum inversions required so that no two adjacent elements are same

Given a binary array arr[] of size N. The task is to find the minimum number of inversions required so that no two adjacent elements are same. After a single inversion, an element could change from 0 to 1 or from 1 to 0.
Examples: 
 

Input: arr[] = {1, 1, 1} 
Output:
Change arr[1] from 1 to 0 and 
the array becomes {1, 0, 1}.
Input: arr[] = {1, 0, 0, 1, 0, 0, 1, 0} 
Output:
 

 

Approach: There are only two possibilities to make the array {1, 0, 1, 0, 1, 0, 1, …} or {0, 1, 0, 1, 0, 1, 0, …}. Let ans_a and ans_b be the count of changes required to get these arrays respectively. Now, the final answer will be min(ans_a, ans_b).
Below is the implementation of the above approach: 
 

C++




// C++ implementation of the approach
#include <bits/stdc++.h>
using namespace std;
 
// Function to return the minimum
// inversions required so that no
// two adjacent elements are same
int min_changes(int a[], int n)
{
    // To store the inversions required
    // to make the array {1, 0, 1, 0, 1, 0, 1, ...}
    // and {0, 1, 0, 1, 0, 1, 0, ...} respectively
    int ans_a = 0, ans_b = 0;
 
    // Find all the changes required
    for (int i = 0; i < n; i++) {
        if (i % 2 == 0) {
            if (a[i] == 0)
                ans_a++;
            else
                ans_b++;
        }
        else {
            if (a[i] == 0)
                ans_b++;
            else
                ans_a++;
        }
    }
 
    // Return the required answer
    return min(ans_a, ans_b);
}
 
// Driver code
int main()
{
    int a[] = { 1, 0, 0, 1, 0, 0, 1, 0 };
    int n = sizeof(a) / sizeof(a[0]);
 
    cout << min_changes(a, n);
 
    return 0;
}


Java




// Java implementation of the approach
class GFG
{
 
// Function to return the minimum
// inversions required so that no
// two adjacent elements are same
static int min_changes(int a[], int n)
{
    // To store the inversions required
    // to make the array {1, 0, 1, 0, 1, 0, 1, ...}
    // and {0, 1, 0, 1, 0, 1, 0, ...} respectively
    int ans_a = 0, ans_b = 0;
 
    // Find all the changes required
    for (int i = 0; i < n; i++)
    {
        if (i % 2 == 0)
        {
            if (a[i] == 0)
                ans_a++;
            else
                ans_b++;
        }
        else
        {
            if (a[i] == 0)
                ans_b++;
            else
                ans_a++;
        }
    }
 
    // Return the required answer
    return Math.min(ans_a, ans_b);
}
 
// Driver code
public static void main(String[] args)
{
    int a[] = { 1, 0, 0, 1, 0, 0, 1, 0 };
    int n = a.length;
 
    System.out.println(min_changes(a, n));
}
}
 
// This code is contributed by Rajput-Ji


Python3




# Python3 implementation of the approach
 
# Function to return the minimum
# inversions required so that no
# two adjacent elements are same
def min_changes(a, n):
 
    # To store the inversions required
    # to make the array {1, 0, 1, 0, 1, 0, 1, ...}
    # and {0, 1, 0, 1, 0, 1, 0, ...} respectively
    ans_a = 0;
    ans_b = 0;
 
    # Find all the changes required
    for i in range(n):
        if (i % 2 == 0):
            if (a[i] == 0):
                ans_a += 1;
            else:
                ans_b += 1;
 
        else:
            if (a[i] == 0):
                ans_b += 1;
            else:
                ans_a += 1;
 
    # Return the required answer
    return min(ans_a, ans_b);
 
# Driver code
if __name__ == '__main__':
 
    a = [ 1, 0, 0, 1, 0, 0, 1, 0 ];
    n = len(a);
 
    print(min_changes(a, n));
 
# This code is contributed by Rajput-Ji


C#




// C# implementation of the approach
using System;
 
class GFG
{
 
// Function to return the minimum
// inversions required so that no
// two adjacent elements are same
static int min_changes(int []a, int n)
{
    // To store the inversions required
    // to make the array {1, 0, 1, 0, 1, 0, 1, ...}
    // and {0, 1, 0, 1, 0, 1, 0, ...} respectively
    int ans_a = 0, ans_b = 0;
 
    // Find all the changes required
    for (int i = 0; i < n; i++)
    {
        if (i % 2 == 0)
        {
            if (a[i] == 0)
                ans_a++;
            else
                ans_b++;
        }
        else
        {
            if (a[i] == 0)
                ans_b++;
            else
                ans_a++;
        }
    }
 
    // Return the required answer
    return Math.Min(ans_a, ans_b);
}
 
// Driver code
public static void Main(String[] args)
{
    int []a = { 1, 0, 0, 1, 0, 0, 1, 0 };
    int n = a.Length;
 
    Console.WriteLine(min_changes(a, n));
}
}
 
// This code is contributed by Rajput-Ji


Javascript




<script>
 
// JavaScript implementation of the approach
 
// Function to return the minimum
// inversions required so that no
// two adjacent elements are same
function min_changes(a, n) {
    // To store the inversions required
    // to make the array {1, 0, 1, 0, 1, 0, 1, ...}
    // and {0, 1, 0, 1, 0, 1, 0, ...} respectively
    let ans_a = 0, ans_b = 0;
 
    // Find all the changes required
    for (let i = 0; i < n; i++) {
        if (i % 2 == 0) {
            if (a[i] == 0)
                ans_a++;
            else
                ans_b++;
        }
        else {
            if (a[i] == 0)
                ans_b++;
            else
                ans_a++;
        }
    }
 
    // Return the required answer
    return Math.min(ans_a, ans_b);
}
 
// Driver code
let a = [1, 0, 0, 1, 0, 0, 1, 0];
let n = a.length;
 
document.write(min_changes(a, n));
 
</script>


Output: 

3

 

Time Complexity: O(n)

Auxiliary Space: O(1)

Feeling lost in the world of random DSA topics, wasting time without progress? It’s time for a change! Join our DSA course, where we’ll guide you on an exciting journey to master DSA efficiently and on schedule.
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!

Thapelo Manthata
I’m a desktop support specialist transitioning into a SharePoint developer role by day and Software Engineering student by night. My superpowers include customer service, coding, the Microsoft office 365 suite including SharePoint and power platform.
RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Most Popular

Recent Comments