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LeetCode 2626: Array Reduce Transformation Solution

Master LeetCode problem 2626 (Array Reduce Transformation), a easy 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.

2626. Array Reduce Transformation

Easy

Problem Explanation

Explanation

To solve this problem, we can iterate through the array nums, applying the reducer function fn on each element and the accumulated result. We start with the initial value init and update it with the result of fn for each element in the array.

Algorithm:

  1. Initialize a variable result with the initial value init.
  2. Iterate through the array nums.
  3. For each element in nums, update result by applying the reducer function fn with the current element and the current value of result.
  4. Return the final value of result.

Time Complexity:

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

Space Complexity:

The space complexity of this algorithm is O(1) as we are using a constant amount of extra space.

Solution Code

class Solution {
    public int reduceArray(int[] nums, BiFunction<Integer, Integer, Integer> fn, int init) {
        int result = init;
        
        for (int num : nums) {
            result = fn.apply(result, num);
        }
        
        return result;
    }
}

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What is the time complexity of LeetCode 2626 (Array Reduce Transformation)?

The time complexity for LeetCode 2626 (Array Reduce Transformation) varies by solution. Check the detailed explanation section for specific complexities in Java, C++, and Python implementations.

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