Showing posts with label Maximum Subarray Python Dynamic Programming and inplace. Show all posts
Showing posts with label Maximum Subarray Python Dynamic Programming and inplace. Show all posts

Maximum Subarray Python

Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
Example:
Input: [-2,1,-3,4,-1,2,1,-5,4],
Output: 6
Explanation: [4,-1,2,1] has the largest sum = 6.
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.

class Solution:
    def maxSubArray(self, nums: List[int]) -> int:
        max_sum = nums[0]
        
        for i in range(1,len(nums)):
            if nums[i-1] > 0:
                nums[i] += nums[i-1]
            max_sum = max(max_sum,nums[i])
        return max_sum
       



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