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HomeData Modelling & AIMinimize the maximum difference between the heights

Minimize the maximum difference between the heights

Given the heights of N towers and a value of K, Either increase or decrease the height of every tower by K (only once) where K > 0. After modifications, the task is to minimize the difference between the heights of the longest and the shortest tower and output its difference.

Examples: 

Input: arr[] = {1, 15, 10}, k = 6
Output:  Maximum difference is 5.
Explanation: Change 1 to 7, 15 to 9 and 10 to 4. Maximum difference is 5 (between 4 and 9). We can’t get a lower difference.

Input: arr[] = {1, 5, 15, 10}, k = 3   
Output: Maximum difference is 8, arr[] = {4, 8, 12, 7}

Recommended Practice

The idea for this is given below:

  • The idea is to increase the first i towers by k and decrease the rest tower by k after sorting the heights, then calculate the maximum height difference.
  • This can be achieved using sorting.

Illustration:

Given arr[] = {1, 15, 10}, n = 3, k = 6

Array after sorting => arr[] = {1, 10, 15}

Initially maxHeight = arr[n – 1] = 15
            minHeight = arr[0] = 1
            ans = maxHeight – minHeight = 15 – 1 = 14

At i = 1

  • minHeight = min(arr[0] + k, arr[i] – k) = min(1 + 6, 10 – 6) = 4
  • maxHeight = max(arr[i – 1] + k, arr[n – 1] – k) = max(1 + 6, 15 – 6) = 9
  • ans = min(ans, maxHeight – minHeight) = min(14, 9 – 4) = 5 => ans = 5

At i = 2

  • minHeight = min(arr[0] + k, arr[i] – k) = min(1 + 6, 15 – 6) = 7
  • maxHeight = max(arr[i – 1] + k, arr[n – 1] – k) = max(10 + 6, 15 – 6) = 16
  • ans = min(ans, maxHeight – minHeight) = min(5, 16 – 7) = 5 => ans = 5

Hence minimum difference is 5 

Note:- Consider where a[i] < K because the height of the tower can’t be negative so neglect that case. You may wonder that if we neglect this case, then we would also be neglecting a[i-1] + k; what if it is greater than a[n-1]-k? The answer for that is because a[i] < K, we don’t have any other option than to increase its height by K. And because a[i] > a[i-1], hence a[i] + k would also be greater than a[i-1]+k. Therefore, a[i-1] + k would never be the maximum height of the array and hence can be neglected.

Furthermore, the reason we don’t take a[i] for both minHeight and maxHeight is because it is possible that a[i] – k < arr[0] +k and at the same time a[i] +k > a[n-1] – k. In this scenario, we would be both increasing and decreasing the height of the tower which is not possible.

Follow the steps below to solve the given problem:

  • Sort the array 
  • Try to make each height of the tower maximum by decreasing the height of all the towers to the right by k and increasing all the height of the towers to the left by k. Check whether the current index tower has the maximum height or not by comparing it with a[n]-k. If the tower’s height is greater than the a[n]-k then it’s the tallest tower available.
  • Similarly, find the shortest tower and minimize the difference between these two towers.  

Below is the implementation of the above approach:

C++




// C++ Code for the Approach
 
#include <bits/stdc++.h>
using namespace std;
 
// User function Template
int getMinDiff(int arr[], int n, int k)
{
    sort(arr, arr + n);
 
    // Maximum possible height difference
    int ans = arr[n - 1] - arr[0];
 
    int tempmin, tempmax;
    tempmin = arr[0];
    tempmax = arr[n - 1];
 
    for (int i = 1; i < n; i++) {
 
        // If on subtracting k we got
        // negative then continue
        if (arr[i] - k < 0)
            continue;
 
        // Minimum element when we
        // add k to whole array
        tempmin = min(arr[0] + k, arr[i] - k);
 
        // Maximum element when we
        // subtract k from whole array
        tempmax = max(arr[i - 1] + k, arr[n - 1] - k);
 
        ans = min(ans, tempmax - tempmin);
    }
    return ans;
}
 
// Driver Code Starts
int main()
{
 
    int k = 6, n = 6;
    int arr[n] = { 7, 4, 8, 8, 8, 9 };
 
    // Function Call
    int ans = getMinDiff(arr, n, k);
    cout << ans;
}


Java




/*package whatever //do not write package name here */
 
import java.io.*;
import java.util.*;
 
// Driver code
public class Main {
 
    public static void main(String[] args)
    {
        int[] arr = { 7, 4, 8, 8, 8, 9 };
        int k = 6;
        int ans = getMinDiff(arr, arr.length, k);
        System.out.println(ans);
    }
 
    // User function Template for Java
    public static int getMinDiff(int[] arr, int n, int k)
    {
 
        Arrays.sort(arr);
        // Maximum possible height difference
        int ans = arr[n - 1] - arr[0];
 
        int tempmin, tempmax;
        tempmin = arr[0];
        tempmax = arr[n - 1];
 
        for (int i = 1; i < n; i++) {
 
            // if on subtracting k we got negative then
            // continue
            if (arr[i] - k < 0)
                continue;
 
            // Minimum element when we add k to whole array
            tempmin = Math.min(arr[0] + k, arr[i] - k);
 
            // Maximum element when we subtract k from whole
            // array
            tempmax
                = Math.max(arr[i - 1] + k, arr[n - 1] - k);
            ans = Math.min(ans, tempmax - tempmin);
        }
        return ans;
    }
}


Python3




# User function Template
def getMinDiff(arr, n, k):
    arr.sort()
    ans = arr[n - 1] - arr[0# Maximum possible height difference
 
    tempmin = arr[0]
    tempmax = arr[n - 1]
 
    for i in range(1, n):
        if arr[i] < k:
            continue
        tempmin = min(arr[0] + k, arr[i] - k)
 
        # Minimum element when we
        # add k to whole array
        # Maximum element when we
        tempmax = max(arr[i - 1] + k, arr[n - 1] - k)
 
        # subtract k from whole array
        ans = min(ans, tempmax - tempmin)
 
    return ans
 
 
# Driver Code Starts
k = 6
n = 6
arr = [7, 4, 8, 8, 8, 9]
ans = getMinDiff(arr, n, k)
print(ans)
 
# This code is contributed by ninja_hattori.


C#




using System;
 
public class GFG {
 
    static public int getMinDiff(int[] arr, int n, int k)
    {
 
        Array.Sort(arr);
        int ans
            = (arr[n - 1] + k)
              - (arr[0]
                 + k); // Maximum possible height difference
 
        int tempmax
            = arr[n - 1] - k; // Maximum element when we
        // subtract k from whole array
        int tempmin = arr[0] + k; // Minimum element when we
        // add k to whole array
        int max, min;
 
        for (int i = 0; i < n - 1; i++) {
            if (tempmax > (arr[i] + k)) {
                max = tempmax;
            }
            else {
                max = arr[i] + k;
            }
 
            if (tempmin < (arr[i + 1] - k)) {
                min = tempmin;
            }
            else {
                min = arr[i + 1] - k;
            }
 
            if (ans > (max - min)) {
                ans = max - min;
            }
        }
        return ans;
    }
 
    static public void Main()
    {
        int[] arr = { 7, 4, 8, 8, 8, 9 };
        int k = 6;
        int ans = getMinDiff(arr, arr.Length, k);
        Console.Write(ans);
    }
}
 
// This code is contributed by ninja_hattori.


Javascript




<script>
 
// User function Template
function getMinDiff(arr,n,k)
{
    arr.sort((a,b) => (a-b))
    let ans = arr[n - 1] - arr[0]; // Maximum possible height difference
 
    let tempmin, tempmax;
    tempmin = arr[0];
    tempmax = arr[n - 1];
 
    for (let i = 1; i < n; i++) {
        tempmin= Math.min(arr[0] + k,arr[i] - k); // Minimum element when we
                                                // add k to whole array
        tempmax = Math.max(arr[i - 1] + k, arr[n - 1] - k); // Maximum element when we
                                                         // subtract k from whole array
        ans = Math.min(ans, tempmax - tempmin);
    }
    return ans;
}
 
// Driver Code Starts
let k = 6, n = 6;
let arr = [ 7, 4, 8, 8, 8, 9 ];
let ans = getMinDiff(arr, n, k);
document.write(ans,"</br>");
 
//This code is contributed by shinjanpatra.
</script>


Output

5

Time Complexity: O(N * log(N)), Time is taken for sorting
Auxiliary Space: O(1)

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Dominic Rubhabha-Wardslaus
Dominic Rubhabha-Wardslaushttp://wardslaus.com
infosec,malicious & dos attacks generator, boot rom exploit philanthropist , wild hacker , game developer,
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