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1031. Maximum Sum of Two Non-Overlapping Subarrays

Description

Given an integer array nums and two integers firstLen and secondLen, return the maximum sum of elements in two non-overlapping subarrays with lengths firstLen and secondLen.

The array with length firstLen could occur before or after the array with length secondLen, but they have to be non-overlapping.

A subarray is a contiguous part of an array.

 

Example 1:

Input: nums = [0,6,5,2,2,5,1,9,4], firstLen = 1, secondLen = 2
Output: 20
Explanation: One choice of subarrays is [9] with length 1, and [6,5] with length 2.

Example 2:

Input: nums = [3,8,1,3,2,1,8,9,0], firstLen = 3, secondLen = 2
Output: 29
Explanation: One choice of subarrays is [3,8,1] with length 3, and [8,9] with length 2.

Example 3:

Input: nums = [2,1,5,6,0,9,5,0,3,8], firstLen = 4, secondLen = 3
Output: 31
Explanation: One choice of subarrays is [5,6,0,9] with length 4, and [0,3,8] with length 3.

 

Constraints:

  • 1 <= firstLen, secondLen <= 1000
  • 2 <= firstLen + secondLen <= 1000
  • firstLen + secondLen <= nums.length <= 1000
  • 0 <= nums[i] <= 1000

Solutions

  • class Solution {
    public int maxSumTwoNoOverlap(int[] nums, int firstLen, int secondLen) {
        int n = nums.length;
        int[] s = new int[n + 1];
        for (int i = 0; i < n; ++i) {
            s[i + 1] = s[i] + nums[i];
        }
        int ans = 0;
        for (int i = firstLen, t = 0; i + secondLen - 1 < n; ++i) {
            t = Math.max(t, s[i] - s[i - firstLen]);
            ans = Math.max(ans, t + s[i + secondLen] - s[i]);
        }
        for (int i = secondLen, t = 0; i + firstLen - 1 < n; ++i) {
            t = Math.max(t, s[i] - s[i - secondLen]);
            ans = Math.max(ans, t + s[i + firstLen] - s[i]);
        }
        return ans;
    }
}

  • class Solution {
public:
    int maxSumTwoNoOverlap(vector<int>& nums, int firstLen, int secondLen) {
        int n = nums.size();
        vector<int> s(n + 1);
        for (int i = 0; i < n; ++i) {
            s[i + 1] = s[i] + nums[i];
        }
        int ans = 0;
        for (int i = firstLen, t = 0; i + secondLen - 1 < n; ++i) {
            t = max(t, s[i] - s[i - firstLen]);
            ans = max(ans, t + s[i + secondLen] - s[i]);
        }
        for (int i = secondLen, t = 0; i + firstLen - 1 < n; ++i) {
            t = max(t, s[i] - s[i - secondLen]);
            ans = max(ans, t + s[i + firstLen] - s[i]);
        }
        return ans;
    }
};

  • class Solution:
    def maxSumTwoNoOverlap(self, nums: List[int], firstLen: int, secondLen: int) -> int:
        n = len(nums)
        s = list(accumulate(nums, initial=0))
        ans = t = 0
        i = firstLen
        while i + secondLen - 1 < n:
            t = max(t, s[i] - s[i - firstLen])
            ans = max(ans, t + s[i + secondLen] - s[i])
            i += 1
        t = 0
        i = secondLen
        while i + firstLen - 1 < n:
            t = max(t, s[i] - s[i - secondLen])
            ans = max(ans, t + s[i + firstLen] - s[i])
            i += 1
        return ans


  • func maxSumTwoNoOverlap(nums []int, firstLen int, secondLen int) (ans int) {
	n := len(nums)
	s := make([]int, n+1)
	for i, x := range nums {
		s[i+1] = s[i] + x
	}
	for i, t := firstLen, 0; i+secondLen-1 < n; i++ {
		t = max(t, s[i]-s[i-firstLen])
		ans = max(ans, t+s[i+secondLen]-s[i])
	}
	for i, t := secondLen, 0; i+firstLen-1 < n; i++ {
		t = max(t, s[i]-s[i-secondLen])
		ans = max(ans, t+s[i+firstLen]-s[i])
	}
	return
}

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