Explore diverse LeetCode solutions in Python, C++, JavaScript, SQL, and TypeScript. Ideal for interview prep, learning, and code practice in multiple programming languages. Github Repo Link
Given an integer array nums, find the subarray with the largest sum, and return its sum.
Example 1:
Input: nums = [-2,1,-3,4,-1,2,1,-5,4] Output: 6 Explanation: The subarray [4,-1,2,1] has the largest sum 6.
Example 2:
Input: nums = [1] Output: 1 Explanation: The subarray [1] has the largest sum 1.
Example 3:
Input: nums = [5,4,-1,7,8] Output: 23 Explanation: The subarray [5,4,-1,7,8] has the largest sum 23.
Constraints:
1 <= nums.length <= 10 5-10 4 <= nums[i] <= 10 4
Follow up: If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle.
Python
class Solution: def maxSubArray(self, nums: List[int]) -> int: maxNum = -100000 sum = 0 for i in range(len(nums)): sum += nums[i] if sum < nums[i ]: sum = nums[i] maxNum = max(sum, maxNum) return maxNum
English 
繁體中文 
简体中文 
한국어 
日本語 
Español