-
Notifications
You must be signed in to change notification settings - Fork 25
Expand file tree
/
Copy path53_MaximumSubarray.py
More file actions
43 lines (31 loc) · 1.02 KB
/
53_MaximumSubarray.py
File metadata and controls
43 lines (31 loc) · 1.02 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
# coding: utf8
"""
题目链接: https://leetcode.com/problems/maximum-subarray/description.
题目描述:
Find the contiguous subarray within an array (containing at least one number) which has the largest sum.
For example, given the array [-2,1,-3,4,-1,2,1,-5,4],
the contiguous subarray [4,-1,2,1] has the largest sum = 6.
click to show more practice.
More practice:
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(object):
def maxSubArray(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if not nums:
return 0
return self.dynamic_sub_array(nums)
# 动态规划, O(n)
def dynamic_sub_array(self, nums):
ans = float('-inf')
cur = 0
for i in range(len(nums)):
cur += nums[i]
ans = max(ans, cur)
if cur < 0:
cur = 0
return ans