1477. Find Two Non-overlapping Sub-arrays Each With Target Sum
Description
You are given an array of integers arr
and an integer target
.
You have to find two non-overlapping sub-arrays of arr
each with a sum equal target
. There can be multiple answers so you have to find an answer where the sum of the lengths of the two sub-arrays is minimum.
Return the minimum sum of the lengths of the two required sub-arrays, or return -1
if you cannot find such two sub-arrays.
Example 1:
Input: arr = [3,2,2,4,3], target = 3 Output: 2 Explanation: Only two sub-arrays have sum = 3 ([3] and [3]). The sum of their lengths is 2.
Example 2:
Input: arr = [7,3,4,7], target = 7 Output: 2 Explanation: Although we have three non-overlapping sub-arrays of sum = 7 ([7], [3,4] and [7]), but we will choose the first and third sub-arrays as the sum of their lengths is 2.
Example 3:
Input: arr = [4,3,2,6,2,3,4], target = 6 Output: -1 Explanation: We have only one sub-array of sum = 6.
Constraints:
1 <= arr.length <= 105
1 <= arr[i] <= 1000
1 <= target <= 108
Solutions
Solution 1: Hash Table + Prefix Sum + Dynamic Programming
We can use a hash table \(d\) to record the most recent position where each prefix sum appears, with the initial value \(d[0]=0\).
Define \(f[i]\) as the minimum length of a subarray with sum equal to \(target\) among the first \(i\) elements. Initially, \(f[0]=\infty\).
Iterate through the array \(\textit{arr}\). For the current position \(i\), calculate the prefix sum \(s\). If \(s - \textit{target}\) exists in the hash table, let \(j = d[s - \textit{target}]\), then \(f[i] = \min(f[i], i - j)\), and the answer is \(ans = \min(ans, f[j] + i - j)\). Continue to the next position.
Finally, if the answer is greater than the array length, return \(-1\); otherwise, return the answer.
The complexity is \(O(n)\), and the space complexity is \(O(n)\), where \(n\) is the length of the array.
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