LeetCode 2567: Minimum Score by Changing Two Elements Solution

Master LeetCode problem 2567 (Minimum Score by Changing Two Elements), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.

2567. Minimum Score by Changing Two Elements

Problem Explanation

Explanation:

To minimize the score after changing two elements, we need to update two elements in the array in such a way that the difference between the elements is minimized. We can achieve this by finding the maximum and minimum elements in the array and then calculating the difference between these elements. We then iterate through the array and try to find two elements where swapping them would result in a smaller difference.

Algorithmic Idea:

  1. Find the maximum and minimum elements in the array.
  2. Calculate the initial score based on the maximum and minimum elements.
  3. Iterate through the array and check if swapping any pair of elements results in a smaller score.
  4. Update the score accordingly.

Time Complexity:

The time complexity of this algorithm is O(N), where N is the number of elements in the array.

Space Complexity:

The space complexity of this algorithm is O(1), as we are not using any extra space apart from a few variables.

Solution Code

class Solution {
    public int minMoves(int[] nums) {
        int min = Integer.MAX_VALUE, max = Integer.MIN_VALUE;
        
        for (int num : nums) {
            min = Math.min(min, num);
            max = Math.max(max, num);
        }
        
        int initialScore = max - min;
        int newScore = initialScore;
        
        for (int i = 0; i < nums.length; i++) {
            for (int j = i + 1; j < nums.length; j++) {
                int tempMax = Math.max(nums[i], nums[j]);
                int tempMin = Math.min(nums[i], nums[j]);
                newScore = Math.min(newScore, tempMax - tempMin);
            }
        }
        
        return newScore;
    }
}

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