LeetCode 1546. Maximum Number of Non-Overlapping Subarrays With Sum Equals Target Solution in Java, C++, Python & More | Explanation + Code

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1546. Maximum Number of Non-Overlapping Subarrays With Sum Equals Target

Description

Given an array nums and an integer target, return the maximum number of non-empty non-overlapping subarrays such that the sum of values in each subarray is equal to target.

 

Example 1:

Input: nums = [1,1,1,1,1], target = 2
Output: 2
Explanation: There are 2 non-overlapping subarrays [1,1,1,1,1] with sum equals to target(2).

Example 2:

Input: nums = [-1,3,5,1,4,2,-9], target = 6
Output: 2
Explanation: There are 3 subarrays with sum equal to 6.
([5,1], [4,2], [3,5,1,4,2,-9]) but only the first 2 are non-overlapping.

 

Constraints:

  • 1 <= nums.length <= 105
  • -104 <= nums[i] <= 104
  • 0 <= target <= 106

Solutions

Solution 1: Greedy + Prefix Sum + Hash Table

We traverse the array nums, using the method of prefix sum + hash table, to find subarrays with a sum of target. If found, we increment the answer by one, then we set the prefix sum to 0 and continue to traverse the array nums until the entire array is traversed.

The time complexity is O(n), and the space complexity is O(n). Here, n is the length of the array nums.

PythonJavaC++GoTypeScript
class Solution: def maxNonOverlapping(self, nums: List[int], target: int) -> int: ans = 0 i, n = 0, len(nums) while i < n: s = 0 vis = {0} while i < n: s += nums[i] if s - target in vis: ans += 1 break i += 1 vis.add(s) i += 1 return ans(code-box)

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