LeetCode 2926: Maximum Balanced Subsequence Sum Solution
Master LeetCode problem 2926 (Maximum Balanced Subsequence Sum), a hard 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.
2926. Maximum Balanced Subsequence Sum
Problem Explanation
Explanation:
- Algorithmic Idea:
- Sort the input array
nums. - Initialize two arrays
prefixSumsandmaxSumwith sizenwherenis the length ofnums. - Iterate over the sorted
numsarray and updateprefixSumsandmaxSumarrays. - Calculate the maximum balanced subsequence sum by iterating over
numsarray.
- Sort the input array
- Time Complexity: O(nlogn) for sorting + O(n) for iterating = O(nlogn)
- Space Complexity: O(n) for the two arrays.
:
Solution Code
class Solution {
public int maxBalanceSum(int[] nums) {
Arrays.sort(nums);
int n = nums.length;
int[] prefixSums = new int[n];
int[] maxSum = new int[n];
prefixSums[0] = nums[0];
maxSum[0] = nums[0];
for (int i = 1; i < n; i++) {
prefixSums[i] = prefixSums[i - 1] + nums[i];
maxSum[i] = Math.max(maxSum[i - 1], prefixSums[i]);
}
int res = Integer.MIN_VALUE;
for (int i = 0; i < n; i++) {
res = Math.max(res, maxSum[i] - (i > 0 ? prefixSums[i - 1] : 0));
}
return res;
}
}Try It Yourself
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