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1031.maximum-sum-of-two-non-overlapping-subarrays.java
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1031.maximum-sum-of-two-non-overlapping-subarrays.java
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/*
* @lc app=leetcode id=1031 lang=java
*
* [1031] Maximum Sum of Two Non-Overlapping Subarrays
*
* https://leetcode.com/problems/maximum-sum-of-two-non-overlapping-subarrays/description/
*
* algorithms
* Medium (58.00%)
* Likes: 811
* Dislikes: 45
* Total Accepted: 29K
* Total Submissions: 49.6K
* Testcase Example: '[0,6,5,2,2,5,1,9,4]\n1\n2'
*
* Given an array A of non-negative integers, return the maximum sum of
* elements in two non-overlapping (contiguous) subarrays, which have lengths L
* and M. (For clarification, the L-length subarray could occur before or
* after the M-length subarray.)
*
* Formally, return the largest V for which V = (A[i] + A[i+1] + ... +
* A[i+L-1]) + (A[j] + A[j+1] + ... + A[j+M-1]) and either:
*
*
* 0 <= i < i + L - 1 < j < j + M - 1 < A.length, or
* 0 <= j < j + M - 1 < i < i + L - 1 < A.length.
*
*
*
*
*
*
*
*
* Example 1:
*
*
* Input: A = [0,6,5,2,2,5,1,9,4], L = 1, M = 2
* Output: 20
* Explanation: One choice of subarrays is [9] with length 1, and [6,5] with
* length 2.
*
*
*
* Example 2:
*
*
* Input: A = [3,8,1,3,2,1,8,9,0], L = 3, M = 2
* Output: 29
* Explanation: One choice of subarrays is [3,8,1] with length 3, and [8,9]
* with length 2.
*
*
*
* Example 3:
*
*
* Input: A = [2,1,5,6,0,9,5,0,3,8], L = 4, M = 3
* Output: 31
* Explanation: One choice of subarrays is [5,6,0,9] with length 4, and [3,8]
* with length 3.
*
*
*
*
* Note:
*
*
* L >= 1
* M >= 1
* L + M <= A.length <= 1000
* 0 <= A[i] <= 1000
*
*
*
*
*
*/
// @lc code=start
class Solution {
public int maxSumTwoNoOverlap(int[] A, int L, int M) {
if (A==null || A.length < L+M) return 0;
int []sum = new int[A.length];
sum[0]=A[0];
for(int i=1; i< A.length;i++){
sum[i] = Math.max(A[i],sum[i-1] + A[i]);
}
int maxL = sum[L-1];
int maxM = sum[M-1];
int res = sum[L+M-1];
for(int i = L+M ;i<sum.length;i++){
maxL = Math.max(maxL,sum[i-M]-sum[i-(L+M)]); //Non overlapping L
maxM = Math.max(maxM,sum[i-L]-sum[i-(L+M)]); //Non overlapping M
res = Math.max(res,Math.max(maxL+sum[i]-sum[i-M],maxM+sum[i]-sum[i-L]));
}
return res;
}
}
// @lc code=end