Description
You are given a 0-indexed integer array nums of length n.
The sum score of nums at an index i where 0 <= i < n is the maximum of:
- The sum of the first
i + 1elements ofnums. - The sum of the last
n - ielements ofnums.
Return the maximum sum score of nums at any index.
Example 1:
Input: nums = [4,3,-2,5] Output: 10 Explanation: The sum score at index 0 is max(4, 4 + 3 + -2 + 5) = max(4, 10) = 10. The sum score at index 1 is max(4 + 3, 3 + -2 + 5) = max(7, 6) = 7. The sum score at index 2 is max(4 + 3 + -2, -2 + 5) = max(5, 3) = 5. The sum score at index 3 is max(4 + 3 + -2 + 5, 5) = max(10, 5) = 10. The maximum sum score of nums is 10.
Example 2:
Input: nums = [-3,-5] Output: -3 Explanation: The sum score at index 0 is max(-3, -3 + -5) = max(-3, -8) = -3. The sum score at index 1 is max(-3 + -5, -5) = max(-8, -5) = -5. The maximum sum score of nums is -3.
Constraints:
n == nums.length1 <= n <= 105-105 <= nums[i] <= 105
Solutions
Solution 1: Prefix Sum
We can use two variables l and r to represent the prefix sum and suffix sum of the array, respectively. Initially, l = 0 and r = ∑_{i=0}n-1 nums[i].
Next, we traverse the array nums. For each element x, we add x to l and update the answer ans = max(ans, l, r), then subtract x from r.
After the traversal, return the answer ans.
The time complexity is O(n), where n is the length of the array nums. The space complexity is O(1).
PythonJavaC++GoTypeScriptRustJavaScript
class Solution: def maximumSumScore(self, nums: List[int]) -> int: l, r = 0, sum(nums) ans = -inf for x in nums: l += x ans = max(ans, l, r) r -= x return ans(code-box)
