53-maximum-subarray¶
Try it on leetcode
Description¶
Given an integer array nums
, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
A subarray is a contiguous part of an array.
Example 1:
Input: nums = [-2,1,-3,4,-1,2,1,-5,4] Output: 6 Explanation: [4,-1,2,1] has the largest sum = 6.
Example 2:
Input: nums = [1] Output: 1
Example 3:
Input: nums = [5,4,-1,7,8] Output: 23
Constraints:
1 <= nums.length <= 105
-104 <= nums[i] <= 104
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.
Solution(Python)¶
class Solution:
def maxSubArray(self, nums: List[int]) -> int:
max_sum = float("-inf")
cur_sum = 0
for num in nums:
if cur_sum + num > num:
cur_sum = cur_sum + num
else:
cur_sum = num
if cur_sum > max_sum:
max_sum = cur_sum
return max_sum