LeetCode 3118: Friday Purchase III Solution
Master LeetCode problem 3118 (Friday Purchase III ), 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.
3118. Friday Purchase III
Problem Explanation
Explanation
To solve this problem, we can use a sliding window approach. We maintain a window of size n and calculate the maximum sum of elements within this window for each possible starting position. We then return the maximum sum found.
Algorithm:
- Initialize a variable
maxSumto store the maximum sum found. - Iterate through the array from 0 to
len(arr) - nto define the starting index of the window. - For each starting index, calculate the sum of elements within the window of size
n. - Update
maxSumif the current sum is greater. - Return
maxSumat the end.
Time complexity: O(n), where n is the length of the input array. Space complexity: O(1), as we are using only a constant amount of extra space.
Solution Code
public int maxSum(int[] arr, int n) {
int maxSum = Integer.MIN_VALUE;
for (int i = 0; i <= arr.length - n; i++) {
int sum = 0;
for (int j = i; j < i + n; j++) {
sum += arr[j];
}
maxSum = Math.max(maxSum, sum);
}
return maxSum;
}Try It Yourself
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